Question 1

What is a sampling distribution? State the sampling distributions of   
and p for finite populations.

Accepted Answer

A sampling distribution is the distribution of a statistic for all possible samples of a fixed size.In quality,the sampling distributions of   
,the sample mean and p,the sample proportion,are of the most interest.
Sampling distribution of   
:
When using simple random sampling,the expected value of   
is the population mean   
.
The standard deviation of   
(often called the standard error of the mean) is given by the formula,   
for finite populations.
Sampling distribution of p:
The expected value of p is   
,the population proportion.
The standard deviation of p is,   for finite populations.

Question 2

Statistical methods help managers make sense of data and gain insight about the:

Accepted Answer

A) ability of using statistics and quality tools in daily work. 
B) nature of variation in all processes. 
C) nature of variation in the processes they manage. 
D) technology used for data analysis and visualization. 
A) ability of using statistics and quality tools in daily work. 
B) nature of variation in all processes. 
C) nature of variation in the processes they manage. 
D) technology used for data analysis and visualization. C

Question 3

An experiment that evaluates the effect of two temperatures (100 and 200 degrees F) and two reaction times (45 and 95 minutes) on process yield has _____ possible combinations to test.

Accepted Answer

A) 2 
B) 4 
C) 6 
D) 8 
A) 2 
B) 4 
C) 6 
D) 8 B

Question 4

The collection of all possible outcomes of an experiment is called the _____.

Accepted Answer

A) event 
B) population 
C) sample space 
D) random variable 
A) event 
B) population 
C) sample space 
D) random variable

Question 5

The sum of the probabilities over all possible outcomes must be between 0 and 1.

Accepted Answer

A) True 
 B)False

Question 6

Which of the following is NOT a type of sampling scheme?

Accepted Answer

A) Stratified sampling 
B) Biased sampling 
C) Cluster sampling 
D) Judgment sampling 
A) Stratified sampling 
B) Biased sampling 
C) Cluster sampling 
D) Judgment sampling

Question 7

Explain how the new experiment was conducted to reduce soldering defects in the process.

Accepted Answer

The next experiment considered the resul

Question 8

The _____ distribution models the time between randomly occurring events.

Accepted Answer

A) normal 
B) Poisson 
C) exponential 
D) binomial 
A) normal 
B) Poisson 
C) exponential 
D) binomial

Question 9

Calculating the average value of 5 sample measurements of a door width is an example of:

Accepted Answer

A) descriptive statistics. 
B) hypothesis testing. 
C) regression analysis. 
D) design of experiments. 
A) descriptive statistics. 
B) hypothesis testing. 
C) regression analysis. 
D) design of experiments.

Question 10

The _____ measures the degree of asymmetry of observations around the mean.

Accepted Answer

A) coefficient of correlation 
B) coefficient of skewness 
C) coefficient of kurtosis 
D) coefficient of determination 
A) coefficient of correlation 
B) coefficient of skewness 
C) coefficient of kurtosis 
D) coefficient of determination

Question 11

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%  $\pm$ 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?

Accepted Answer

A) 21%  $\pm$ 4.2% 
B) 21%  $\pm$ 3.76% 
C) 21%  $\pm$ 3.9% 
D) 21%  $\pm$ 4.8% 
A) 21%  $\pm$ 4.2% 
B) 21%  $\pm$ 3.76% 
C) 21%  $\pm$ 3.9% 
D) 21%  $\pm$ 4.8%

Question 12

The conditional probability of an event A given that event B is known is given by:

Accepted Answer

A)   
B)   
C)   
D)   
A)   
B)   
C)   
D)

Question 13

One of the most common types of experimental designs in which all combinations of levels of each factor are considered is called a(n) _____ experiment.

Accepted Answer

A) combination 
B) factorial 
C) interaction 
D) simple 
A) combination 
B) factorial 
C) interaction 
D) simple

Question 14

In ANOVA,by dividing the mean square between groups by the mean square within groups,a(n) _____ statistic is computed.

Accepted Answer

A) t 
B) z 
C) F 
D) R2 
A) t 
B) z 
C) F 
D) R2

Question 15

_____ 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.

Accepted Answer

A) Designed experiment 
B) Hypothesis testing 
C) Kurtosis 
D) Regression 
A) Designed experiment 
B) Hypothesis testing 
C) Kurtosis 
D) Regression

Question 16

In general,an experiment with m factors at k levels would have km combinations.

Accepted Answer

A) True 
 B)False

Question 17

A _____ is a function that assigns a numerical value to every possible outcome in a sample space.

Accepted Answer

A) probability distribution 
B) population parameter 
C) sample statistic 
D) random variable 
A) probability distribution 
B) population parameter 
C) sample statistic 
D) random variable

Question 18

Statistics is a science concerned with the collection,organization,analysis,interpretation,and presentation of data.

Accepted Answer

A) True 
 B)False

Question 19

Of 15 ANOVA analysis runs performed on the 13 experimental variables that were measured in the Six Sigma project,why did 8 experimental variables showed no significance?

Accepted Answer

Of 15 ANOVA analysis runs perf

Question 20

What is the conclusion arrived by the team of the Six Sigma project at GE Fanuc manufacturing plant?

Accepted Answer

From the analyses done by the

What is a sampling distribution? State the sampling distributions of and p for finite populations.

Statistical methods help managers make sense of data and gain insight about the:

An experiment that evaluates the effect of two temperatures (100 and 200 degrees F) and two reaction times (45 and 95 minutes) on process yield has _____ possible combinations to test.

The collection of all possible outcomes of an experiment is called the _____.

The sum of the probabilities over all possible outcomes must be between 0 and 1.

Which of the following is NOT a type of sampling scheme?

Explain how the new experiment was conducted to reduce soldering defects in the process.

The _____ distribution models the time between randomly occurring events.

Calculating the average value of 5 sample measurements of a door width is an example of:

The _____ measures the degree of asymmetry of observations around the mean.

The conditional probability of an event A given that event B is known is given by:

One of the most common types of experimental designs in which all combinations of levels of each factor are considered is called a(n) _____ experiment.

In ANOVA,by dividing the mean square between groups by the mean square within groups,a(n) _____ statistic is computed.

_____ 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.

In general,an experiment with m factors at k levels would have km combinations.

A _____ is a function that assigns a numerical value to every possible outcome in a sample space.

Statistics is a science concerned with the collection,organization,analysis,interpretation,and presentation of data.

Of 15 ANOVA analysis runs performed on the 13 experimental variables that were measured in the Six Sigma project,why did 8 experimental variables showed no significance?

What is the conclusion arrived by the team of the Six Sigma project at GE Fanuc manufacturing plant?

Introduction to Quality

Foundations of Quality Management

Customer Focus

Workforce Focus

Process Focus

Design for Quality and Product Excellence

Measuring and Controlling Quality

Process Improvement and Six Sigma

The Baldrige Framework for Performance Excellence

Strategy and Performance Excellence

Measurement and Knowledge Management for Performance Excellence

Leadership for Performance Excellence

Building and Sustaining Quality and Performance Excellence

Filters

Exam 6: Statistical Methods in Quality Management

What is a sampling distribution? State the sampling distributions of and p for finite populations.

Statistical methods help managers make sense of data and gain insight about the:

An experiment that evaluates the effect of two temperatures (100 and 200 degrees F) and two reaction times (45 and 95 minutes) on process yield has _____ possible combinations to test.

The collection of all possible outcomes of an experiment is called the _____.

The sum of the probabilities over all possible outcomes must be between 0 and 1.

Which of the following is NOT a type of sampling scheme?

Explain how the new experiment was conducted to reduce soldering defects in the process.

The _____ distribution models the time between randomly occurring events.

Calculating the average value of 5 sample measurements of a door width is an example of:

The _____ measures the degree of asymmetry of observations around the mean.

The conditional probability of an event A given that event B is known is given by:

One of the most common types of experimental designs in which all combinations of levels of each factor are considered is called a(n) _____ experiment.

In ANOVA,by dividing the mean square between groups by the mean square within groups,a(n) _____ statistic is computed.

_____ 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.

In general,an experiment with m factors at k levels would have km combinations.

A _____ is a function that assigns a numerical value to every possible outcome in a sample space.

Statistics is a science concerned with the collection,organization,analysis,interpretation,and presentation of data.

Of 15 ANOVA analysis runs performed on the 13 experimental variables that were measured in the Six Sigma project,why did 8 experimental variables showed no significance?

What is the conclusion arrived by the team of the Six Sigma project at GE Fanuc manufacturing plant?

Introduction to Quality

Foundations of Quality Management

Customer Focus

Workforce Focus

Process Focus

Design for Quality and Product Excellence

Measuring and Controlling Quality

Process Improvement and Six Sigma

The Baldrige Framework for Performance Excellence

Strategy and Performance Excellence

Measurement and Knowledge Management for Performance Excellence

Leadership for Performance Excellence

Building and Sustaining Quality and Performance Excellence

Filters