Question 1

For large samples,the sampling distribution of   is approximately normal with a mean of _____.

Accepted Answer

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

Question 2

The internal auditing staff of a local manufacturing company performs a sample audit each quarter to estimate the proportion of accounts that are delinquent more than 90 days overdue.The historical records of the company show that over the past 8 years 13 percent of the accounts are delinquent.For this quarter,the auditing staff randomly selected 250 customer accounts.What is the probability that no more than 40 accounts will be classified as delinquent?

Accepted Answer

A) 42.07 % 
B) 92.07 % 
C) 7.93 % 
D) 40.15 % 
E) 90.15% 
A) 42.07 % 
B) 92.07 % 
C) 7.93 % 
D) 40.15 % 
E) 90.15%

Question 3

The population of all _________________ proportions is described by sampling distribution of   .

Accepted Answer

A) Population 
B) Random 
C) Observed 
D) Sample 
A) Population 
B) Random 
C) Observed 
D) Sample

Question 4

The population of all sample proportions has a normal distribution if the sample size (n)is sufficiently large.The rule of thumb for ensuring that n is sufficiently large is:

Accepted Answer

A) np $\ge$ 5 
B) n(1 - p)5 
C) np $\le$ 5 
D) n(1 - p)$\le$ .5 and np $\le$ 5 
E) np .5 and n(1 - p)$\ge$ 5 
A) np $\ge$ 5 
B) n(1 - p)5 
C) np $\le$ 5 
D) n(1 - p)$\le$ .5 and np $\le$ 5 
E) np .5 and n(1 - p)$\ge$ 5

Question 5

A random sample of size 36 is taken from a population with mean 50 and standard deviation 5.Find P (   > 50.5).

Accepted Answer

A) .0002 
B) .7257 
C) .2743 
D) .1389 
A) .0002 
B) .7257 
C) .2743 
D) .1389

Question 6

The chief chemist for a major oil/gasoline production company claims that the regular unleaded gasoline produced by the company contains on average 4 ounces of a certain ingredient.The chemist further states that the distribution of this ingredient per gallon of regular unleaded gasoline is normal and has a standard deviation of 1.2 ounces.What is the probability of finding an average in excess of 4.3 ounces of this ingredient from randomly inspected 100 gallons of regular unleaded gasoline?

Accepted Answer

A) .5987 
B) .4013 
C) .9938 
D) .0062 
A) .5987 
B) .4013 
C) .9938 
D) .0062

Question 7

If p = .9 and n = 40,then we can conclude that the sampling distribution of   is approximately a normal distribution.

Accepted Answer

A) True 
 B)False

Question 8

Find

Accepted Answer

A) 1.000 
B) 2.25 
C) .9878 
D) .0122 
A) 1.000 
B) 2.25 
C) .9878 
D) .0122

Question 9

Find

Accepted Answer

A) .0764 
B) .9998 
C) .9236 
D) .0001 
A) .0764 
B) .9998 
C) .9236 
D) .0001

Question 10

A random sample of size 1,000 is taken from a population where p = .20.Find P (   < .18).

Accepted Answer

A) .9429 
B) .0571 
C) .2643 
D) .0793 
A) .9429 
B) .0571 
C) .2643 
D) .0793

Question 11

_____________ is the difference between a numerical description of the population and the corresponding descriptor of the sample.

Accepted Answer

A) Sampling error 
B) Non-observation error 
C) Observation error 
D) Non-response 
A) Sampling error 
B) Non-observation error 
C) Observation error 
D) Non-response

Question 12

A low response rate has no effect on the validity of a survey's findings.

Accepted Answer

A) True 
 B)False

Question 13

The diameter of small Nerf balls manufactured at a factory in China is expected to be approximately normally distributed with a mean of 5.2 inches and a standard deviation of .08 inches.Suppose a random sample of 20 balls is selected.Calculate the mean of the sampling distribution of the sample mean.

Accepted Answer

A) 5.2 
B) 0.8 
C) 0.08 
D) 0.018 
A) 5.2 
B) 0.8 
C) 0.08 
D) 0.018

Question 14

A random sample of size 1,000 is taken from a population where p = .20.Find P (   > .175).

Accepted Answer

A) .9761 
B) .0239 
C) .0392 
D) .9999 
A) .9761 
B) .0239 
C) .0392 
D) .9999

Question 15

In a manufacturing process a machine produces bolts that have an average length of 3 inches with a variance of .03.If we randomly select three bolts from this process: What is the probability the mean length of the bolt is at least 3.16 inches?

Accepted Answer

A) 97.72 % 
B) 5.48 % 
C) 94.52 % 
D) 44.52 % 
E) 2.28 % 
A) 97.72 % 
B) 5.48 % 
C) 94.52 % 
D) 44.52 % 
E) 2.28 %

Question 16

A random sample of size 1,000 is taken from a population where p = .20.Describe the sampling distribution of   .

Accepted Answer

A) Cannot be determined 
B) Normal 
C) Skewed to the left 
D) Skewed to the right 
A) Cannot be determined 
B) Normal 
C) Skewed to the left 
D) Skewed to the right

Question 17

The number of defectives in the samples of 50 observations each is the following: 5,1,1,2,3,3,1,4,2,3.What is the estimate of the population proportion of defectives?

Accepted Answer

A) .25 
B) .50 
C) .05 
D) .42 
A) .25 
B) .50 
C) .05 
D) .42

Question 18

If a population is known to be normally distributed,then it follows that the sample mean must equal the population mean.

Accepted Answer

A) True 
 B)False

Question 19

Find

Accepted Answer

A) 0.20 
B) 200 
C) 20 
D) 2.00 
A) 0.20 
B) 200 
C) 20 
D) 2.00

Question 20

If we have a sample size of 100 and the estimate of the population proportion is .10,we can estimate the sampling distribution of   with a normal distribution.

Accepted Answer

A) True 
 B)False

For large samples,the sampling distribution of is approximately normal with a mean of _____.

The population of all _________________ proportions is described by sampling distribution of .

The population of all sample proportions has a normal distribution if the sample size (n)is sufficiently large.The rule of thumb for ensuring that n is sufficiently large is:

A random sample of size 36 is taken from a population with mean 50 and standard deviation 5.Find P ( > 50.5).

If p = .9 and n = 40,then we can conclude that the sampling distribution of is approximately a normal distribution.

Find

Find

A random sample of size 1,000 is taken from a population where p = .20.Find P ( < .18).

_____________ is the difference between a numerical description of the population and the corresponding descriptor of the sample.

A low response rate has no effect on the validity of a survey's findings.

A random sample of size 1,000 is taken from a population where p = .20.Find P ( > .175).

In a manufacturing process a machine produces bolts that have an average length of 3 inches with a variance of .03.If we randomly select three bolts from this process: What is the probability the mean length of the bolt is at least 3.16 inches?

A random sample of size 1,000 is taken from a population where p = .20.Describe the sampling distribution of .

The number of defectives in the samples of 50 observations each is the following: 5,1,1,2,3,3,1,4,2,3.What is the estimate of the population proportion of defectives?

If a population is known to be normally distributed,then it follows that the sample mean must equal the population mean.

Find

If we have a sample size of 100 and the estimate of the population proportion is .10,we can estimate the sampling distribution of with a normal distribution.

An Introduction to Business Statistics

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Confidence Intervals

Hypothesis Testing

Statistical Inferences Based on Two Samples

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression

Model Building and Model Diagnostics

Time Series Forecasting

Process Improvement Using Control Charts

Nonparametric Methods

Decision Theory

Filters

Exam 7: Sampling and Sampling Distributions

For large samples,the sampling distribution of is approximately normal with a mean of _____.

The population of all _________________ proportions is described by sampling distribution of .

The population of all sample proportions has a normal distribution if the sample size (n)is sufficiently large.The rule of thumb for ensuring that n is sufficiently large is:

A random sample of size 36 is taken from a population with mean 50 and standard deviation 5.Find P ( > 50.5).

If p = .9 and n = 40,then we can conclude that the sampling distribution of is approximately a normal distribution.

Find

Find

A random sample of size 1,000 is taken from a population where p = .20.Find P ( < .18).

_____________ is the difference between a numerical description of the population and the corresponding descriptor of the sample.

A low response rate has no effect on the validity of a survey's findings.

A random sample of size 1,000 is taken from a population where p = .20.Find P ( > .175).

In a manufacturing process a machine produces bolts that have an average length of 3 inches with a variance of .03.If we randomly select three bolts from this process: What is the probability the mean length of the bolt is at least 3.16 inches?

A random sample of size 1,000 is taken from a population where p = .20.Describe the sampling distribution of .

The number of defectives in the samples of 50 observations each is the following: 5,1,1,2,3,3,1,4,2,3.What is the estimate of the population proportion of defectives?

If a population is known to be normally distributed,then it follows that the sample mean must equal the population mean.

Find

If we have a sample size of 100 and the estimate of the population proportion is .10,we can estimate the sampling distribution of with a normal distribution.

An Introduction to Business Statistics

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Confidence Intervals

Hypothesis Testing

Statistical Inferences Based on Two Samples

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression

Model Building and Model Diagnostics

Time Series Forecasting

Process Improvement Using Control Charts

Nonparametric Methods

Decision Theory

Filters