Deck 10: Statistical Thinking And Applications

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Question
As the sample size increases,the standard error of the mean increases,all else being held constant.
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Question
The Red Bead Experiment demonstrates that common-cause variation in processes cannot be predicted.
Question
The number of defects observed in a sample is an example of a continuous random variable.
Question
When interactions are present in an experiment,main effects have little meaning.
Question
A confidence interval is a point estimate of a population parameter.
Question
A census is a representative sample of the population.
Question
All else being equal,as the confidence interval increases,the confidence level increases.
Question
If two variables are negatively correlated,when one variable takes on a positive value,the other variable takes on a negative value.
Question
Sample statistics are often used as point estimators for population parameters.
Question
In hypothesis testing,the null hypothesis,H?,is assumed to be false in the absence of contradictory data.
Question
A purpose of the Funnel Experiment is to demonstrate the effect of 'tampering.'
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In simple regression,a function describes how the dependent variable is a function of the independent variable.
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A discrete random variable can take on only finite values.
Question
Products are boxed in groups of 25.Drawing a sample of boxes and inspecting all units in the boxes selected is an example of systematic sampling.
Question
Deming's Funnel Experiment illustrates that people can and do create unwanted process variation by indiscriminately trying to remove common-cause variation.
Question
Collecting,organizing,summarizing,and presenting data is referred to as statistical inference.
Question
Correlation is a measure of the linear or non-linear relationship between two variables.
Question
An airline that computes the average number of baggage handling errors that has occurred per 1,000 passengers in the last year is utilizing statistical inference.
Question
Special-cause variation tends to be easily detectable using statistical methods.
Question
A stable system contains only common cause variation.
Question
The sampling method where every item in the population has an equal probability of being selected is called:

A)simple random sampling.
B)stratified sampling.
C)systematic sampling.
D)judgment sampling.
Question
The component of statistical methodology that includes the collection,organization,and summarization of data is called:

A)descriptive statistics.
B)analytical statistics.
C)inferential statistics.
D)predictive statistics.
Question
Historical production data indicate that the diameter of a ball bearing is normally distributed with a mean of 0.525 cm and a standard deviation of 0.008 cm.Suppose that a sample of 16 ball bearings are randomly selected from a very large lot.Determine the probability that the average diameter of a sampled ball bearing is greater than 0.530 cm.

A)0.2324
B)0.4938
C)0.5062
D)0.0062
Question
Which of the following constitutes an approach to reducing sampling error?

A)Cross-checking research designs with knowledgeable analysts
B)Questioning the assumption that tomorrow's and today's population are comparable
C)Taking a larger sample from the population
D)Reducing conditions that contribute to dissimilar population segments
Question
A subset of items selected from a population is called a:

A)sample.
B)statistic.
C)census.
D)parameter.
Question
The following sample data were collected: 12.0,18.3,29.6,14.3 and 27.8.The sample standard deviation for this data is equal to _____.

A)2.18
B)7.093
C)20.4
D)23.9
Question
Partitioning a population into hierarchical groups or levels,and selecting a sample from each group or level is known as:

A)simple random sampling.
B)stratified sampling.
C)systematic sampling.
D)judgment sampling.
Question
Exhibit 10-1
In an audit of the outstanding bills in a large multi-national firm, the auditor selected a random sample of 40 of these bills and recorded the dollar value of each outstanding bill.The data were analyzed using Excel (see below).
<strong>Exhibit 10-1 In an audit of the outstanding bills in a large multi-national firm, the auditor selected a random sample of 40 of these bills and recorded the dollar value of each outstanding bill.The data were analyzed using Excel (see below).   Refer to Exhibit 10-1.A 99% confidence interval for the population mean dollar value of the outstanding bills is equal to _____.</strong> A) (114.4, 189.0) B) (112.9, 190.6) C) (110.5, 192.9) D) (108.4, 195.1) <div style=padding-top: 35px>
Refer to Exhibit 10-1.A 99% confidence interval for the population mean dollar value of the outstanding bills is equal to _____.

A) (114.4, 189.0)
B) (112.9, 190.6)
C) (110.5, 192.9)
D) (108.4, 195.1)
Question
Characteristics of the population are called:

A)point estimates.
B)random variables.
C)statistics.
D)parameters.
Question
Suppose that a scatter diagram depicts a relationship between the two variables that can be summarized by a straight line.The correlation coefficient is computed and results in a value of -0.73.Which of the following is NOT TRUE?

A)There is a negative relationship between the two variables.
B)Two other variables having a correlation coefficient of -0.87 would have a stronger linear relationship.
C)In general, an increase in one variable is associated with an increase in the other variable.
D)Even though the correlation coefficient is less than zero, the correlation coefficient still communicates the strength of the linear relationship.
Question
A system governed only by common cause variation is a system that:

A)ensures high productivity.
B)is stable.
C)meets a customer's quality specifications.
D)has zero natural variation.
Question
All of the following are illustrated by the Red Bead Experiment EXCEPT:

A)management is responsible for the system.
B)all the variation in the production of red beads came entirely from the process itself.
C)special cause variation can be predicted.
D)numerical goals are often meaningless.
Question
_____ is the process of drawing conclusions about unknown characteristics of a population from which data are taken.

A)Logical inference
B)Post-data inference
C)Statistical inference
D)Random inference
Question
Which of the following is NOT a tool for descriptive statistics?

A)Frequency distribution
B)Regression analysis
C)Proportion
D)Histogram
Question
Which of the following requires the opinion of an expert to determine the location and characteristics of a definable sample group?

A)Judgment sample
B)Simple random sample
C)Systematic sample
D)Stratified sample
Question
A particular type of plastic soap bottle is designed to have a capacity of 15 ounces.There is variation in the bottle manufacturing process.Based on historical data,suppose that bottle capacity can be reasonably modeled by a normal distribution with a mean of 15 ounces and a standard deviation of 0.2 ounces.What proportion of these bottles will have a capacity between 14.7 and 15.1 ounces?

A)0.3830
B)0.6247
C)0.8664
D)0.9876
Question
Exhibit 10-1
In an audit of the outstanding bills in a large multi-national firm, the auditor selected a random sample of 40 of these bills and recorded the dollar value of each outstanding bill.The data were analyzed using Excel (see below).
<strong>Exhibit 10-1 In an audit of the outstanding bills in a large multi-national firm, the auditor selected a random sample of 40 of these bills and recorded the dollar value of each outstanding bill.The data were analyzed using Excel (see below).   Refer to Exhibit 10-1.Suppose the auditor wants to test,at a 1% significance level,the null hypothesis that the population mean dollar value of the outstanding bills is equal to 130.0 versus the alternative null hypothesis that the population mean dollar value of the outstanding bills is not equal to 130.0.The auditor:</strong> A)should not reject the null hypothesis. B)should reject the null hypothesis. C)must collect more data before rejecting or not rejecting the null hypothesis. D)cannot reject the null hypothesis with less than a 5% significance level. <div style=padding-top: 35px>
Refer to Exhibit 10-1.Suppose the auditor wants to test,at a 1% significance level,the null hypothesis that the population mean dollar value of the outstanding bills is equal to 130.0 versus the alternative null hypothesis that the population mean dollar value of the outstanding bills is not equal to 130.0.The auditor:

A)should not reject the null hypothesis.
B)should reject the null hypothesis.
C)must collect more data before rejecting or not rejecting the null hypothesis.
D)cannot reject the null hypothesis with less than a 5% significance level.
Question
A sample of size sixteen is randomly selected from a population of size 90.Determine the standard error of the mean if the population standard deviation equals 20.

A)2.11
B)4.16
C)4.56
D)5.00
Question
A manager at a local manufacturing company has been monitoring the output of one of the machines used to manufacture small aluminum plates.Past data indicate that if the machine is operating "properly," the length of the plates produced by this machine can be modeled as being normally distributed with a mean of 117 centimeters and a standard deviation of 5.2 centimeters.Suppose 10 plates produced by this machine are randomly selected.What is the probability that the average length of these 10 plates will be between 116 and 120 centimeters when the machine is operating "properly?"

A)0.2709
B)0.2943
C)0.9656
D)0.6947
Question
Statistical thinking is a philosophy of learning and action based on all of the following principles EXCEPT:

A)all work occurs in a system of interconnected processes.
B)variation exists in all processes.
C)all variation can be traced to human error.
D)understanding and reducing variation are keys to success.
Question
A manager at a market research firm randomly sampled 254 adult residents of Ohio and asked each resident if he/she planned to vacation outside of Ohio this coming summer.Sixty-three of these adults responded that they plan to vacation outside of Ohio this coming summer.What is the 95% confidence interval for the population proportion of adult residents of Ohio who plan to vacation outside of Ohio this coming summer?

A) (0.178, 0.318)
B) (0.246, 0.250)
C) (0.195, 0.301)
D) (0.142, 0.354)
Question
Special causes of variation are often called _____ causes of variation.

A)assignable
B)complex
C)remaining
D)final
Question
Exhibit 10-2
A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one "bed-day" if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis.
The sample data were analyzed using Excel.Shown below is part of the regression analysis output.
<strong>Exhibit 10-2 A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one bed-day if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis. The sample data were analyzed using Excel.Shown below is part of the regression analysis output.   Refer to Exhibit 10-2.According to this regression analysis,what is the predicted number of monthly labor hours required for a hotel with 3000 bed-day of occupancy for the month?</strong> A)4441.5 B)3352.2 C)4106.2 D)3882.8 <div style=padding-top: 35px>
Refer to Exhibit 10-2.According to this regression analysis,what is the predicted number of monthly labor hours required for a hotel with 3000 bed-day of occupancy for the month?

A)4441.5
B)3352.2
C)4106.2
D)3882.8
Question
Exhibit 10-3
An engineer collected data from three different types of power drills.Specifically, the engineer collected data on how long (in minutes)each type of drill would run continuously after a full battery recharge.Each drill was charged and run continuously 15 times.The reported data are contained in the following table.The engineer analyzed the data using one-way ANOVA in Excel and the results from Excel are also given below.
<strong>Exhibit 10-3 An engineer collected data from three different types of power drills.Specifically, the engineer collected data on how long (in minutes)each type of drill would run continuously after a full battery recharge.Each drill was charged and run continuously 15 times.The reported data are contained in the following table.The engineer analyzed the data using one-way ANOVA in Excel and the results from Excel are also given below.     Refer to Exhibit 10-3.The one-way ANOVA was used to determine if the population mean continuous run times are equal (the null hypothesis)for all three types of drills,or if all pairs of population means are not equal (the alternative hypothesis).Which decisions could the manager make?</strong> A)Reject the null hypothesis using a 5% significance level, and reject the null hypothesis using a 1% significance level. B)Reject the null hypothesis using a 5% significance level, but do not reject the null hypothesis using a 1% significance level. C)Reject the null hypothesis using a 1% significance level, but do not reject the null hypothesis using a 5% significance level. D)Do not reject the null hypothesis using a 5% significance level, and do not reject the null hypothesis using a 1% significance level. <div style=padding-top: 35px>
<strong>Exhibit 10-3 An engineer collected data from three different types of power drills.Specifically, the engineer collected data on how long (in minutes)each type of drill would run continuously after a full battery recharge.Each drill was charged and run continuously 15 times.The reported data are contained in the following table.The engineer analyzed the data using one-way ANOVA in Excel and the results from Excel are also given below.     Refer to Exhibit 10-3.The one-way ANOVA was used to determine if the population mean continuous run times are equal (the null hypothesis)for all three types of drills,or if all pairs of population means are not equal (the alternative hypothesis).Which decisions could the manager make?</strong> A)Reject the null hypothesis using a 5% significance level, and reject the null hypothesis using a 1% significance level. B)Reject the null hypothesis using a 5% significance level, but do not reject the null hypothesis using a 1% significance level. C)Reject the null hypothesis using a 1% significance level, but do not reject the null hypothesis using a 5% significance level. D)Do not reject the null hypothesis using a 5% significance level, and do not reject the null hypothesis using a 1% significance level. <div style=padding-top: 35px>
Refer to Exhibit 10-3.The one-way ANOVA was used to determine if the population mean continuous run times are equal (the null hypothesis)for all three types of drills,or if all pairs of population means are not equal (the alternative hypothesis).Which decisions could the manager make?

A)Reject the null hypothesis using a 5% significance level, and reject the null hypothesis using a 1% significance level.
B)Reject the null hypothesis using a 5% significance level, but do not reject the null hypothesis using a 1% significance level.
C)Reject the null hypothesis using a 1% significance level, but do not reject the null hypothesis using a 5% significance level.
D)Do not reject the null hypothesis using a 5% significance level, and do not reject the null hypothesis using a 1% significance level.
Question
Understanding processes provides the context for determining the effects of ____ and the proper type of managerial action to be taken.

A)statistics
B)variation
C)managerial decisions
D)special causes
Question
Sample ______ are often used as estimators of population _______.

A)parameters, parameters
B)statistics, statistics
C)statistics, parameters
D)parameters, statistics
Question
Exhibit 10-3
An engineer collected data from three different types of power drills.Specifically, the engineer collected data on how long (in minutes)each type of drill would run continuously after a full battery recharge.Each drill was charged and run continuously 15 times.The reported data are contained in the following table.The engineer analyzed the data using one-way ANOVA in Excel and the results from Excel are also given below.
<strong>Exhibit 10-3 An engineer collected data from three different types of power drills.Specifically, the engineer collected data on how long (in minutes)each type of drill would run continuously after a full battery recharge.Each drill was charged and run continuously 15 times.The reported data are contained in the following table.The engineer analyzed the data using one-way ANOVA in Excel and the results from Excel are also given below.     Refer to Exhibit 10-3.What is the 95% confidence interval for the population mean continuous run time for the Type 3 drill?</strong> A) (59.5, 72.1) B) (54.1, 77.5) C) (58.0, 73.6) D) (59.9, 71.7) <div style=padding-top: 35px>
<strong>Exhibit 10-3 An engineer collected data from three different types of power drills.Specifically, the engineer collected data on how long (in minutes)each type of drill would run continuously after a full battery recharge.Each drill was charged and run continuously 15 times.The reported data are contained in the following table.The engineer analyzed the data using one-way ANOVA in Excel and the results from Excel are also given below.     Refer to Exhibit 10-3.What is the 95% confidence interval for the population mean continuous run time for the Type 3 drill?</strong> A) (59.5, 72.1) B) (54.1, 77.5) C) (58.0, 73.6) D) (59.9, 71.7) <div style=padding-top: 35px>
Refer to Exhibit 10-3.What is the 95% confidence interval for the population mean continuous run time for the Type 3 drill?

A) (59.5, 72.1)
B) (54.1, 77.5)
C) (58.0, 73.6)
D) (59.9, 71.7)
Question
A government report gives a 99% confidence interval for the proportion of welfare recipients who have been receiving welfare benefits for more than 5 years to be 21% ± 4.5%.Which of the following intervals could not be a 95% confidence interval for the proportion of welfare recipients who have been receiving welfare benefits for more than 5 years?

A)21% ± 4.2%
B)21% ± 3.76%
C)21% ± 3.9%
D)21% ± 4.8%.
Question
_____ arise from external sources that are not inherent in the process.

A)External causes
B)Special variations
C)Special causes
D)Common causes
Question
Three scatter diagrams are given below.How many of the diagrams present data that can be described by a linear relationship and,therefore,justifiably summarized by the correlation coefficient?
<strong>Three scatter diagrams are given below.How many of the diagrams present data that can be described by a linear relationship and,therefore,justifiably summarized by the correlation coefficient?   Plot A Plot B   Plot C  </strong> A)Plot A B)Plot B C)Plot A and Plot B D)Plot A and Plot C <div style=padding-top: 35px>
Plot A Plot B
<strong>Three scatter diagrams are given below.How many of the diagrams present data that can be described by a linear relationship and,therefore,justifiably summarized by the correlation coefficient?   Plot A Plot B   Plot C  </strong> A)Plot A B)Plot B C)Plot A and Plot B D)Plot A and Plot C <div style=padding-top: 35px>
Plot C
<strong>Three scatter diagrams are given below.How many of the diagrams present data that can be described by a linear relationship and,therefore,justifiably summarized by the correlation coefficient?   Plot A Plot B   Plot C  </strong> A)Plot A B)Plot B C)Plot A and Plot B D)Plot A and Plot C <div style=padding-top: 35px>

A)Plot A
B)Plot B
C)Plot A and Plot B
D)Plot A and Plot C
Question
Which of the following is NOT an operational problem created by variation?

A)Variation increases unpredictability.
B)Variation reduces capacity utilization.
C)Variation contributes to a "bullwhip" effect.
D)Variation makes it easy to find root causes.
Question
At the organizational level,statistics helps executives with all of the following EXCEPT:

A)understand the business system and its core processes.
B)use data from the entire organization to assess performance.
C)keep employees better informed.
D)encourage employees to experiment to improve their work.
Question
A quality engineer in a light bulb factory is planning a study to estimate the average life of a large shipment of light bulbs.The engineer wants to estimate the average life within plus or minus 15 hours with 95 percent confidence.Assuming a process standard deviation of 100 hours,determine the sample size for this study.

A)7
B)43
C)58
D)171
Question
Calculating the average value of 5 sample measurements of door width is an example of:

A)descriptive statistics.
B)statistical inference.
C)predictive statistics.
D)analytical statistics.
Question
Exhibit 10-2
A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one "bed-day" if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis.
The sample data were analyzed using Excel.Shown below is part of the regression analysis output.
<strong>Exhibit 10-2 A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one bed-day if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis. The sample data were analyzed using Excel.Shown below is part of the regression analysis output.   Refer to Exhibit 10-2.According to this regression analysis,if the number of bed-days increases by 200,what is the predicted change in the number of labor hours required for a given month?</strong> A)a decrease of 5621.2 B)a decrease of 17.6 C)an increase of 223.5 D)an increase of 882.2 <div style=padding-top: 35px>
Refer to Exhibit 10-2.According to this regression analysis,if the number of bed-days increases by 200,what is the predicted change in the number of labor hours required for a given month?

A)a decrease of 5621.2
B)a decrease of 17.6
C)an increase of 223.5
D)an increase of 882.2
Question
At the process level,statistical thinking can motivate managers in all of the following EXCEPT:

A)developing and assessing standardized project management systems.
B)setting realistic goals.
C)using data from the entire organization to assess performance.
D)focusing on the process without blaming employees for variation.
Question
Exhibit 10-2
A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one "bed-day" if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis.
The sample data were analyzed using Excel.Shown below is part of the regression analysis output.
<strong>Exhibit 10-2 A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one bed-day if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis. The sample data were analyzed using Excel.Shown below is part of the regression analysis output.   Refer to Exhibit 10-2.For the estimated regression equation y = a + bx,what is the value of b?</strong> A)-28.106 B)0.049 C)97.2 D)1.117 <div style=padding-top: 35px>
Refer to Exhibit 10-2.For the estimated regression equation y = a + bx,what is the value of b?

A)-28.106
B)0.049
C)97.2
D)1.117
Question
Everything else remaining constant,when the sample size increases:

A)the variance decreases.
B)the variance increases.
C)the variance is unaffected.
D)the variance could increase or decrease.
Question
An experiment that evaluates the effect of two temperatures (200 and 400 degrees)and two reaction times (50 and 100 minutes)on process yield has ___ possible combinations to test.

A)2
B)4
C)6
D)8
Question
Exhibit 10-2
A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one "bed-day" if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis.
The sample data were analyzed using Excel.Shown below is part of the regression analysis output.
<strong>Exhibit 10-2 A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one bed-day if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis. The sample data were analyzed using Excel.Shown below is part of the regression analysis output.   Refer to Exhibit 10-2.According to this regression analysis,what percentage of the variation in the number of monthly labor hours required for a hotel can be explained by the number of bed-day of occupancy in a month?</strong> A)93.1% B)97.0% C)97.2% D)98.6% <div style=padding-top: 35px>
Refer to Exhibit 10-2.According to this regression analysis,what percentage of the variation in the number of monthly labor hours required for a hotel can be explained by the number of bed-day of occupancy in a month?

A)93.1%
B)97.0%
C)97.2%
D)98.6%
Question
_____ sampling is based on the assumption that if the first element is chosen at random,the entire sample will have the properties of a simple random sample.

A)Stratified random
B)Cluster
C)Systematic
D)Judgment
Question
At the individual or personal level,statistical thinking can help employees in all of the following EXCEPT:

A)be knowledgeable about variation.
B)set realistic goals.
C)analyze work data better.
D)identify important measures and improvement opportunities.
Question
_____ can often be tested by holding one variable constant while changing the other to determine effects of the change.

A)Causation
B)Improper sampling
C)Noncomparable data
D)Uncritical projection of trends
Question
A mathematical function that assigns numerical values to every possible outcome in a sample space is called a _____.

A)probability function
B)population constant
C)sample variable
D)random variable
Question
According to Deming,the study of a dynamic time series is called:

A)analytic study.
B)dynamic study.
C)non-linear study.
D)enumerative study.
Question
A _____ is a subset of objects taken from the _____.

A)population; sample
B)cluster; superset
C)sample; population
D)population; universal set
Question
One of the biggest mistakes that people make in using statistical methods is confusing data that are sampled from a _____ with data sampled from a _____.

A)cluster sample; static population
B)random sample; judgment sample
C)static population; dynamic process
D)large sample; small population
Question
Errors in sampling generally stem from two causes: _____ error and _____ error.

A)design; computation
B)primary; auxillary
C)discrete; random
D)sampling; systematic
Question
The collectively exhaustive set of outcomes from an experiment makes up a _____.

A)random set
B)population
C)sample space
D)random variable.
Question
A _____ sample is one obtained by separating the population into non-overlapping groups,and then selecting a simple random sample from each group.

A)stratified random
B)cluster
C)systematic
D)judgment
Question
_____ involves drawing inferences about two contrasting propositions relating to the value of a population parameter,one of which is assumed to be true in the absence of contradictory data.

A)Statistical inference
B)Hypothesis testing
C)Double-blind procedure
D)Model theory
Question
If random samples are not used,_____ may be introduced.

A)control
B)bias
C)projection
D)probability
Question
Which of the following is Rule 1 in Deming's Funnel Experiment?

A)Leave the funnel alone.
B)Place the funnel over the spot where the marble last comes to rest.
C)Move the funnel an equal distance in the opposite direction from its current position.
D)Set the funnel an equal distance in the opposite direction of the error from the target.
Question
A _____ represents a theoretical model of the relative frequency of a random variable.

A)probability distribution
B)random distribution
C)sample
D)random variable
Question
According to Deming,the analysis of a static population is called:

A)analytic study.
B)statistical inference.
C)dynamic study.
D)enumerative study.
Question
Which of the following is NOT a type of sampling procedure?

A)Stratified random sampling
B)Linear sampling
C)Cluster sampling
D)Judgment sampling
Question
As the risks associated with making an incorrect conclusion cannot be quantified in the case of a non-random sample,_____ sampling is not a preferred method of sampling.

A)stratified random
B)cluster
C)systematic
D)judgment
Question
A typical group is selected,and a random sample is taken from within the group.This is an example of _____ sampling.

A)simple
B)stratified
C)cluster
D)judgment
Question
A(n)_____ experiment is a test or series of tests that enables the experimenter to compare two or more methods to determine which is better or determine levels of controllable factors to optimize the yield of a process or minimize the variability of a response variable.

A)designed
B)simple
C)controlled
D)optimal
Question
A _____ can take on any real value over a specified interval of real numbers.

A)sample space
B)continuous random variable
C)discrete random variable population
D)discrete random population
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Deck 10: Statistical Thinking And Applications
1
As the sample size increases,the standard error of the mean increases,all else being held constant.
False
2
The Red Bead Experiment demonstrates that common-cause variation in processes cannot be predicted.
False
3
The number of defects observed in a sample is an example of a continuous random variable.
False
4
When interactions are present in an experiment,main effects have little meaning.
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5
A confidence interval is a point estimate of a population parameter.
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6
A census is a representative sample of the population.
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7
All else being equal,as the confidence interval increases,the confidence level increases.
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8
If two variables are negatively correlated,when one variable takes on a positive value,the other variable takes on a negative value.
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9
Sample statistics are often used as point estimators for population parameters.
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10
In hypothesis testing,the null hypothesis,H?,is assumed to be false in the absence of contradictory data.
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11
A purpose of the Funnel Experiment is to demonstrate the effect of 'tampering.'
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12
In simple regression,a function describes how the dependent variable is a function of the independent variable.
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13
A discrete random variable can take on only finite values.
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14
Products are boxed in groups of 25.Drawing a sample of boxes and inspecting all units in the boxes selected is an example of systematic sampling.
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15
Deming's Funnel Experiment illustrates that people can and do create unwanted process variation by indiscriminately trying to remove common-cause variation.
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16
Collecting,organizing,summarizing,and presenting data is referred to as statistical inference.
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17
Correlation is a measure of the linear or non-linear relationship between two variables.
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18
An airline that computes the average number of baggage handling errors that has occurred per 1,000 passengers in the last year is utilizing statistical inference.
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19
Special-cause variation tends to be easily detectable using statistical methods.
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20
A stable system contains only common cause variation.
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21
The sampling method where every item in the population has an equal probability of being selected is called:

A)simple random sampling.
B)stratified sampling.
C)systematic sampling.
D)judgment sampling.
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22
The component of statistical methodology that includes the collection,organization,and summarization of data is called:

A)descriptive statistics.
B)analytical statistics.
C)inferential statistics.
D)predictive statistics.
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23
Historical production data indicate that the diameter of a ball bearing is normally distributed with a mean of 0.525 cm and a standard deviation of 0.008 cm.Suppose that a sample of 16 ball bearings are randomly selected from a very large lot.Determine the probability that the average diameter of a sampled ball bearing is greater than 0.530 cm.

A)0.2324
B)0.4938
C)0.5062
D)0.0062
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24
Which of the following constitutes an approach to reducing sampling error?

A)Cross-checking research designs with knowledgeable analysts
B)Questioning the assumption that tomorrow's and today's population are comparable
C)Taking a larger sample from the population
D)Reducing conditions that contribute to dissimilar population segments
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25
A subset of items selected from a population is called a:

A)sample.
B)statistic.
C)census.
D)parameter.
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26
The following sample data were collected: 12.0,18.3,29.6,14.3 and 27.8.The sample standard deviation for this data is equal to _____.

A)2.18
B)7.093
C)20.4
D)23.9
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27
Partitioning a population into hierarchical groups or levels,and selecting a sample from each group or level is known as:

A)simple random sampling.
B)stratified sampling.
C)systematic sampling.
D)judgment sampling.
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28
Exhibit 10-1
In an audit of the outstanding bills in a large multi-national firm, the auditor selected a random sample of 40 of these bills and recorded the dollar value of each outstanding bill.The data were analyzed using Excel (see below).
<strong>Exhibit 10-1 In an audit of the outstanding bills in a large multi-national firm, the auditor selected a random sample of 40 of these bills and recorded the dollar value of each outstanding bill.The data were analyzed using Excel (see below).   Refer to Exhibit 10-1.A 99% confidence interval for the population mean dollar value of the outstanding bills is equal to _____.</strong> A) (114.4, 189.0) B) (112.9, 190.6) C) (110.5, 192.9) D) (108.4, 195.1)
Refer to Exhibit 10-1.A 99% confidence interval for the population mean dollar value of the outstanding bills is equal to _____.

A) (114.4, 189.0)
B) (112.9, 190.6)
C) (110.5, 192.9)
D) (108.4, 195.1)
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29
Characteristics of the population are called:

A)point estimates.
B)random variables.
C)statistics.
D)parameters.
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30
Suppose that a scatter diagram depicts a relationship between the two variables that can be summarized by a straight line.The correlation coefficient is computed and results in a value of -0.73.Which of the following is NOT TRUE?

A)There is a negative relationship between the two variables.
B)Two other variables having a correlation coefficient of -0.87 would have a stronger linear relationship.
C)In general, an increase in one variable is associated with an increase in the other variable.
D)Even though the correlation coefficient is less than zero, the correlation coefficient still communicates the strength of the linear relationship.
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31
A system governed only by common cause variation is a system that:

A)ensures high productivity.
B)is stable.
C)meets a customer's quality specifications.
D)has zero natural variation.
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32
All of the following are illustrated by the Red Bead Experiment EXCEPT:

A)management is responsible for the system.
B)all the variation in the production of red beads came entirely from the process itself.
C)special cause variation can be predicted.
D)numerical goals are often meaningless.
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33
_____ is the process of drawing conclusions about unknown characteristics of a population from which data are taken.

A)Logical inference
B)Post-data inference
C)Statistical inference
D)Random inference
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34
Which of the following is NOT a tool for descriptive statistics?

A)Frequency distribution
B)Regression analysis
C)Proportion
D)Histogram
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35
Which of the following requires the opinion of an expert to determine the location and characteristics of a definable sample group?

A)Judgment sample
B)Simple random sample
C)Systematic sample
D)Stratified sample
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36
A particular type of plastic soap bottle is designed to have a capacity of 15 ounces.There is variation in the bottle manufacturing process.Based on historical data,suppose that bottle capacity can be reasonably modeled by a normal distribution with a mean of 15 ounces and a standard deviation of 0.2 ounces.What proportion of these bottles will have a capacity between 14.7 and 15.1 ounces?

A)0.3830
B)0.6247
C)0.8664
D)0.9876
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37
Exhibit 10-1
In an audit of the outstanding bills in a large multi-national firm, the auditor selected a random sample of 40 of these bills and recorded the dollar value of each outstanding bill.The data were analyzed using Excel (see below).
<strong>Exhibit 10-1 In an audit of the outstanding bills in a large multi-national firm, the auditor selected a random sample of 40 of these bills and recorded the dollar value of each outstanding bill.The data were analyzed using Excel (see below).   Refer to Exhibit 10-1.Suppose the auditor wants to test,at a 1% significance level,the null hypothesis that the population mean dollar value of the outstanding bills is equal to 130.0 versus the alternative null hypothesis that the population mean dollar value of the outstanding bills is not equal to 130.0.The auditor:</strong> A)should not reject the null hypothesis. B)should reject the null hypothesis. C)must collect more data before rejecting or not rejecting the null hypothesis. D)cannot reject the null hypothesis with less than a 5% significance level.
Refer to Exhibit 10-1.Suppose the auditor wants to test,at a 1% significance level,the null hypothesis that the population mean dollar value of the outstanding bills is equal to 130.0 versus the alternative null hypothesis that the population mean dollar value of the outstanding bills is not equal to 130.0.The auditor:

A)should not reject the null hypothesis.
B)should reject the null hypothesis.
C)must collect more data before rejecting or not rejecting the null hypothesis.
D)cannot reject the null hypothesis with less than a 5% significance level.
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38
A sample of size sixteen is randomly selected from a population of size 90.Determine the standard error of the mean if the population standard deviation equals 20.

A)2.11
B)4.16
C)4.56
D)5.00
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39
A manager at a local manufacturing company has been monitoring the output of one of the machines used to manufacture small aluminum plates.Past data indicate that if the machine is operating "properly," the length of the plates produced by this machine can be modeled as being normally distributed with a mean of 117 centimeters and a standard deviation of 5.2 centimeters.Suppose 10 plates produced by this machine are randomly selected.What is the probability that the average length of these 10 plates will be between 116 and 120 centimeters when the machine is operating "properly?"

A)0.2709
B)0.2943
C)0.9656
D)0.6947
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40
Statistical thinking is a philosophy of learning and action based on all of the following principles EXCEPT:

A)all work occurs in a system of interconnected processes.
B)variation exists in all processes.
C)all variation can be traced to human error.
D)understanding and reducing variation are keys to success.
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41
A manager at a market research firm randomly sampled 254 adult residents of Ohio and asked each resident if he/she planned to vacation outside of Ohio this coming summer.Sixty-three of these adults responded that they plan to vacation outside of Ohio this coming summer.What is the 95% confidence interval for the population proportion of adult residents of Ohio who plan to vacation outside of Ohio this coming summer?

A) (0.178, 0.318)
B) (0.246, 0.250)
C) (0.195, 0.301)
D) (0.142, 0.354)
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42
Special causes of variation are often called _____ causes of variation.

A)assignable
B)complex
C)remaining
D)final
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43
Exhibit 10-2
A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one "bed-day" if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis.
The sample data were analyzed using Excel.Shown below is part of the regression analysis output.
<strong>Exhibit 10-2 A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one bed-day if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis. The sample data were analyzed using Excel.Shown below is part of the regression analysis output.   Refer to Exhibit 10-2.According to this regression analysis,what is the predicted number of monthly labor hours required for a hotel with 3000 bed-day of occupancy for the month?</strong> A)4441.5 B)3352.2 C)4106.2 D)3882.8
Refer to Exhibit 10-2.According to this regression analysis,what is the predicted number of monthly labor hours required for a hotel with 3000 bed-day of occupancy for the month?

A)4441.5
B)3352.2
C)4106.2
D)3882.8
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44
Exhibit 10-3
An engineer collected data from three different types of power drills.Specifically, the engineer collected data on how long (in minutes)each type of drill would run continuously after a full battery recharge.Each drill was charged and run continuously 15 times.The reported data are contained in the following table.The engineer analyzed the data using one-way ANOVA in Excel and the results from Excel are also given below.
<strong>Exhibit 10-3 An engineer collected data from three different types of power drills.Specifically, the engineer collected data on how long (in minutes)each type of drill would run continuously after a full battery recharge.Each drill was charged and run continuously 15 times.The reported data are contained in the following table.The engineer analyzed the data using one-way ANOVA in Excel and the results from Excel are also given below.     Refer to Exhibit 10-3.The one-way ANOVA was used to determine if the population mean continuous run times are equal (the null hypothesis)for all three types of drills,or if all pairs of population means are not equal (the alternative hypothesis).Which decisions could the manager make?</strong> A)Reject the null hypothesis using a 5% significance level, and reject the null hypothesis using a 1% significance level. B)Reject the null hypothesis using a 5% significance level, but do not reject the null hypothesis using a 1% significance level. C)Reject the null hypothesis using a 1% significance level, but do not reject the null hypothesis using a 5% significance level. D)Do not reject the null hypothesis using a 5% significance level, and do not reject the null hypothesis using a 1% significance level.
<strong>Exhibit 10-3 An engineer collected data from three different types of power drills.Specifically, the engineer collected data on how long (in minutes)each type of drill would run continuously after a full battery recharge.Each drill was charged and run continuously 15 times.The reported data are contained in the following table.The engineer analyzed the data using one-way ANOVA in Excel and the results from Excel are also given below.     Refer to Exhibit 10-3.The one-way ANOVA was used to determine if the population mean continuous run times are equal (the null hypothesis)for all three types of drills,or if all pairs of population means are not equal (the alternative hypothesis).Which decisions could the manager make?</strong> A)Reject the null hypothesis using a 5% significance level, and reject the null hypothesis using a 1% significance level. B)Reject the null hypothesis using a 5% significance level, but do not reject the null hypothesis using a 1% significance level. C)Reject the null hypothesis using a 1% significance level, but do not reject the null hypothesis using a 5% significance level. D)Do not reject the null hypothesis using a 5% significance level, and do not reject the null hypothesis using a 1% significance level.
Refer to Exhibit 10-3.The one-way ANOVA was used to determine if the population mean continuous run times are equal (the null hypothesis)for all three types of drills,or if all pairs of population means are not equal (the alternative hypothesis).Which decisions could the manager make?

A)Reject the null hypothesis using a 5% significance level, and reject the null hypothesis using a 1% significance level.
B)Reject the null hypothesis using a 5% significance level, but do not reject the null hypothesis using a 1% significance level.
C)Reject the null hypothesis using a 1% significance level, but do not reject the null hypothesis using a 5% significance level.
D)Do not reject the null hypothesis using a 5% significance level, and do not reject the null hypothesis using a 1% significance level.
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45
Understanding processes provides the context for determining the effects of ____ and the proper type of managerial action to be taken.

A)statistics
B)variation
C)managerial decisions
D)special causes
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46
Sample ______ are often used as estimators of population _______.

A)parameters, parameters
B)statistics, statistics
C)statistics, parameters
D)parameters, statistics
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47
Exhibit 10-3
An engineer collected data from three different types of power drills.Specifically, the engineer collected data on how long (in minutes)each type of drill would run continuously after a full battery recharge.Each drill was charged and run continuously 15 times.The reported data are contained in the following table.The engineer analyzed the data using one-way ANOVA in Excel and the results from Excel are also given below.
<strong>Exhibit 10-3 An engineer collected data from three different types of power drills.Specifically, the engineer collected data on how long (in minutes)each type of drill would run continuously after a full battery recharge.Each drill was charged and run continuously 15 times.The reported data are contained in the following table.The engineer analyzed the data using one-way ANOVA in Excel and the results from Excel are also given below.     Refer to Exhibit 10-3.What is the 95% confidence interval for the population mean continuous run time for the Type 3 drill?</strong> A) (59.5, 72.1) B) (54.1, 77.5) C) (58.0, 73.6) D) (59.9, 71.7)
<strong>Exhibit 10-3 An engineer collected data from three different types of power drills.Specifically, the engineer collected data on how long (in minutes)each type of drill would run continuously after a full battery recharge.Each drill was charged and run continuously 15 times.The reported data are contained in the following table.The engineer analyzed the data using one-way ANOVA in Excel and the results from Excel are also given below.     Refer to Exhibit 10-3.What is the 95% confidence interval for the population mean continuous run time for the Type 3 drill?</strong> A) (59.5, 72.1) B) (54.1, 77.5) C) (58.0, 73.6) D) (59.9, 71.7)
Refer to Exhibit 10-3.What is the 95% confidence interval for the population mean continuous run time for the Type 3 drill?

A) (59.5, 72.1)
B) (54.1, 77.5)
C) (58.0, 73.6)
D) (59.9, 71.7)
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48
A government report gives a 99% confidence interval for the proportion of welfare recipients who have been receiving welfare benefits for more than 5 years to be 21% ± 4.5%.Which of the following intervals could not be a 95% confidence interval for the proportion of welfare recipients who have been receiving welfare benefits for more than 5 years?

A)21% ± 4.2%
B)21% ± 3.76%
C)21% ± 3.9%
D)21% ± 4.8%.
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49
_____ arise from external sources that are not inherent in the process.

A)External causes
B)Special variations
C)Special causes
D)Common causes
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50
Three scatter diagrams are given below.How many of the diagrams present data that can be described by a linear relationship and,therefore,justifiably summarized by the correlation coefficient?
<strong>Three scatter diagrams are given below.How many of the diagrams present data that can be described by a linear relationship and,therefore,justifiably summarized by the correlation coefficient?   Plot A Plot B   Plot C  </strong> A)Plot A B)Plot B C)Plot A and Plot B D)Plot A and Plot C
Plot A Plot B
<strong>Three scatter diagrams are given below.How many of the diagrams present data that can be described by a linear relationship and,therefore,justifiably summarized by the correlation coefficient?   Plot A Plot B   Plot C  </strong> A)Plot A B)Plot B C)Plot A and Plot B D)Plot A and Plot C
Plot C
<strong>Three scatter diagrams are given below.How many of the diagrams present data that can be described by a linear relationship and,therefore,justifiably summarized by the correlation coefficient?   Plot A Plot B   Plot C  </strong> A)Plot A B)Plot B C)Plot A and Plot B D)Plot A and Plot C

A)Plot A
B)Plot B
C)Plot A and Plot B
D)Plot A and Plot C
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51
Which of the following is NOT an operational problem created by variation?

A)Variation increases unpredictability.
B)Variation reduces capacity utilization.
C)Variation contributes to a "bullwhip" effect.
D)Variation makes it easy to find root causes.
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52
At the organizational level,statistics helps executives with all of the following EXCEPT:

A)understand the business system and its core processes.
B)use data from the entire organization to assess performance.
C)keep employees better informed.
D)encourage employees to experiment to improve their work.
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53
A quality engineer in a light bulb factory is planning a study to estimate the average life of a large shipment of light bulbs.The engineer wants to estimate the average life within plus or minus 15 hours with 95 percent confidence.Assuming a process standard deviation of 100 hours,determine the sample size for this study.

A)7
B)43
C)58
D)171
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54
Calculating the average value of 5 sample measurements of door width is an example of:

A)descriptive statistics.
B)statistical inference.
C)predictive statistics.
D)analytical statistics.
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55
Exhibit 10-2
A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one "bed-day" if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis.
The sample data were analyzed using Excel.Shown below is part of the regression analysis output.
<strong>Exhibit 10-2 A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one bed-day if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis. The sample data were analyzed using Excel.Shown below is part of the regression analysis output.   Refer to Exhibit 10-2.According to this regression analysis,if the number of bed-days increases by 200,what is the predicted change in the number of labor hours required for a given month?</strong> A)a decrease of 5621.2 B)a decrease of 17.6 C)an increase of 223.5 D)an increase of 882.2
Refer to Exhibit 10-2.According to this regression analysis,if the number of bed-days increases by 200,what is the predicted change in the number of labor hours required for a given month?

A)a decrease of 5621.2
B)a decrease of 17.6
C)an increase of 223.5
D)an increase of 882.2
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56
At the process level,statistical thinking can motivate managers in all of the following EXCEPT:

A)developing and assessing standardized project management systems.
B)setting realistic goals.
C)using data from the entire organization to assess performance.
D)focusing on the process without blaming employees for variation.
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57
Exhibit 10-2
A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one "bed-day" if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis.
The sample data were analyzed using Excel.Shown below is part of the regression analysis output.
<strong>Exhibit 10-2 A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one bed-day if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis. The sample data were analyzed using Excel.Shown below is part of the regression analysis output.   Refer to Exhibit 10-2.For the estimated regression equation y = a + bx,what is the value of b?</strong> A)-28.106 B)0.049 C)97.2 D)1.117
Refer to Exhibit 10-2.For the estimated regression equation y = a + bx,what is the value of b?

A)-28.106
B)0.049
C)97.2
D)1.117
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58
Everything else remaining constant,when the sample size increases:

A)the variance decreases.
B)the variance increases.
C)the variance is unaffected.
D)the variance could increase or decrease.
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59
An experiment that evaluates the effect of two temperatures (200 and 400 degrees)and two reaction times (50 and 100 minutes)on process yield has ___ possible combinations to test.

A)2
B)4
C)6
D)8
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60
Exhibit 10-2
A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one "bed-day" if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis.
The sample data were analyzed using Excel.Shown below is part of the regression analysis output.
<strong>Exhibit 10-2 A manager of a hotel chain is interested in investigating whether there is a relationship between staff labor hours and bed-day occupancy incurred by a hotel in a month.The manager randomly selected 17 of the hotels in the chain across the country and recorded, for each of the hotels, the staff's total labor hours for the month of July and the number of bed-days of occupancy for that month. (A hotel has occupied one bed-day if one bed is occupied (rented)for an entire day.)The manager is interested in seeing if the labor hours incurred can be predicted from the number of bed-days of occupancy on a monthly basis. The sample data were analyzed using Excel.Shown below is part of the regression analysis output.   Refer to Exhibit 10-2.According to this regression analysis,what percentage of the variation in the number of monthly labor hours required for a hotel can be explained by the number of bed-day of occupancy in a month?</strong> A)93.1% B)97.0% C)97.2% D)98.6%
Refer to Exhibit 10-2.According to this regression analysis,what percentage of the variation in the number of monthly labor hours required for a hotel can be explained by the number of bed-day of occupancy in a month?

A)93.1%
B)97.0%
C)97.2%
D)98.6%
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61
_____ sampling is based on the assumption that if the first element is chosen at random,the entire sample will have the properties of a simple random sample.

A)Stratified random
B)Cluster
C)Systematic
D)Judgment
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62
At the individual or personal level,statistical thinking can help employees in all of the following EXCEPT:

A)be knowledgeable about variation.
B)set realistic goals.
C)analyze work data better.
D)identify important measures and improvement opportunities.
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63
_____ can often be tested by holding one variable constant while changing the other to determine effects of the change.

A)Causation
B)Improper sampling
C)Noncomparable data
D)Uncritical projection of trends
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64
A mathematical function that assigns numerical values to every possible outcome in a sample space is called a _____.

A)probability function
B)population constant
C)sample variable
D)random variable
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65
According to Deming,the study of a dynamic time series is called:

A)analytic study.
B)dynamic study.
C)non-linear study.
D)enumerative study.
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66
A _____ is a subset of objects taken from the _____.

A)population; sample
B)cluster; superset
C)sample; population
D)population; universal set
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67
One of the biggest mistakes that people make in using statistical methods is confusing data that are sampled from a _____ with data sampled from a _____.

A)cluster sample; static population
B)random sample; judgment sample
C)static population; dynamic process
D)large sample; small population
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68
Errors in sampling generally stem from two causes: _____ error and _____ error.

A)design; computation
B)primary; auxillary
C)discrete; random
D)sampling; systematic
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69
The collectively exhaustive set of outcomes from an experiment makes up a _____.

A)random set
B)population
C)sample space
D)random variable.
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70
A _____ sample is one obtained by separating the population into non-overlapping groups,and then selecting a simple random sample from each group.

A)stratified random
B)cluster
C)systematic
D)judgment
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71
_____ involves drawing inferences about two contrasting propositions relating to the value of a population parameter,one of which is assumed to be true in the absence of contradictory data.

A)Statistical inference
B)Hypothesis testing
C)Double-blind procedure
D)Model theory
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72
If random samples are not used,_____ may be introduced.

A)control
B)bias
C)projection
D)probability
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73
Which of the following is Rule 1 in Deming's Funnel Experiment?

A)Leave the funnel alone.
B)Place the funnel over the spot where the marble last comes to rest.
C)Move the funnel an equal distance in the opposite direction from its current position.
D)Set the funnel an equal distance in the opposite direction of the error from the target.
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74
A _____ represents a theoretical model of the relative frequency of a random variable.

A)probability distribution
B)random distribution
C)sample
D)random variable
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75
According to Deming,the analysis of a static population is called:

A)analytic study.
B)statistical inference.
C)dynamic study.
D)enumerative study.
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76
Which of the following is NOT a type of sampling procedure?

A)Stratified random sampling
B)Linear sampling
C)Cluster sampling
D)Judgment sampling
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77
As the risks associated with making an incorrect conclusion cannot be quantified in the case of a non-random sample,_____ sampling is not a preferred method of sampling.

A)stratified random
B)cluster
C)systematic
D)judgment
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78
A typical group is selected,and a random sample is taken from within the group.This is an example of _____ sampling.

A)simple
B)stratified
C)cluster
D)judgment
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79
A(n)_____ experiment is a test or series of tests that enables the experimenter to compare two or more methods to determine which is better or determine levels of controllable factors to optimize the yield of a process or minimize the variability of a response variable.

A)designed
B)simple
C)controlled
D)optimal
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80
A _____ can take on any real value over a specified interval of real numbers.

A)sample space
B)continuous random variable
C)discrete random variable population
D)discrete random population
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