Question 1

The Central Limit Theorem states that as sample size increases,the population distribution more closely approximates a normal distribution.

Accepted Answer

A) True 
 B)False

Question 2

Whenever the population has a normal distribution,the sampling distribution of is a normal or near normal distribution

Accepted Answer

A)  for only large sample sizes. 
B)  for only small sample sizes. 
C)  for any sample size. 
D)  for only samples of size 30 or more. 
A)  for only large sample sizes. 
B)  for only small sample sizes. 
C)  for any sample size. 
D)  for only samples of size 30 or more.

Question 3

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

Accepted Answer

A) True 
 B)False

Question 4

The sample standard deviation s is an unbiased estimator of the population standard deviation σ.

Accepted Answer

A) True 
 B)False

Question 5

The sampling distribution of 
must be a normal distribution with mean = 0 and standard deviation = 1.

Accepted Answer

A) True 
 B)False

Question 6

The sampling distribution of the sample mean is developed by repeatedly taking samples of size n and computing the sample means and reporting the resulting sample means in the form of a probability distribution.

Accepted Answer

A) True 
 B)False

Question 7

A theorem that allows us to use the normal probability distribution to approximate the sampling distribution of sample means and sample proportions whenever the sample size is large is known as _______________.

Accepted Answer

A)  cluster sampling 
B)  sampling error 
C)  sampling distribution of the mean 
D)  the Central Limit Theorem 
A)  cluster sampling 
B)  sampling error 
C)  sampling distribution of the mean 
D)  the Central Limit Theorem

Question 8

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 9

A golf tournament organizer is attempting to determine whether hole (pin)placement has a significant impact on the average number of strokes for the 13th hole on a given golf course.Historically,the pin has been placed in the front right corner of the green,and the historical mean number of strokes for the hole has been 4.25,with a standard deviation of 1.6 strokes.On a particular day during the most recent golf tournament,the organizer placed the hole (pin)in the back left corner of the green.64 golfers played the hole with the new placement on that day.Determine the probability of the sample average number of strokes exceeding 4.75.

Accepted Answer

A)  .9938 
B)  .4013 
C)  .0062 
D)  .3783 
A)  .9938 
B)  .4013 
C)  .0062 
D)  .3783

Question 10

As the sample size ___________,the standard deviation of the population of all sample proportions increases.

Accepted Answer

A)  increases 
B)  stays the same 
C)  is variable 
D)  decreases 
A)  increases 
B)  stays the same 
C)  is variable 
D)  decreases

Question 11

The quantity √[(N − n)(N − 1)] is called the finite population multiplier.

Accepted Answer

A) True 
 B)False

Question 12

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)  approximately normal 
C)  skewed to the left 
D)  skewed to the right 
A)  cannot be determined 
B)  approximately normal 
C)  skewed to the left 
D)  skewed to the right

The Central Limit Theorem states that as sample size increases,the population distribution more closely approximates a normal distribution.

Whenever the population has a normal distribution,the sampling distribution of is a normal or near normal distribution

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

The sample standard deviation s is an unbiased estimator of the population standard deviation σ.

The sampling distribution of must be a normal distribution with mean = 0 and standard deviation = 1.

The sampling distribution of the sample mean is developed by repeatedly taking samples of size n and computing the sample means and reporting the resulting sample means in the form of a probability distribution.

A theorem that allows us to use the normal probability distribution to approximate the sampling distribution of sample means and sample proportions whenever the sample size is large is known as _______________.

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

As the sample size ___________,the standard deviation of the population of all sample proportions increases.

The quantity √[(N − n)(N − 1)] is called the finite population multiplier.

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

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 for Means and Proportions

Statistical Inferences for Population Variances

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression and Model Building

Time Series Forecasting and Index Numbers

Nonparametric Methods

Decision Theory

Filters

Exam 7: Sampling and Sampling Distributions

The Central Limit Theorem states that as sample size increases,the population distribution more closely approximates a normal distribution.

Whenever the population has a normal distribution,the sampling distribution of is a normal or near normal distribution

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

The sample standard deviation s is an unbiased estimator of the population standard deviation σ.

The sampling distribution of must be a normal distribution with mean = 0 and standard deviation = 1.

The sampling distribution of the sample mean is developed by repeatedly taking samples of size n and computing the sample means and reporting the resulting sample means in the form of a probability distribution.

A theorem that allows us to use the normal probability distribution to approximate the sampling distribution of sample means and sample proportions whenever the sample size is large is known as _______________.

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

As the sample size ___________,the standard deviation of the population of all sample proportions increases.

The quantity √[(N − n)(N − 1)] is called the finite population multiplier.

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

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 for Means and Proportions

Statistical Inferences for Population Variances

Experimental Design and Analysis of Variance

Chi-Square Tests

Simple Linear Regression Analysis

Multiple Regression and Model Building

Time Series Forecasting and Index Numbers

Nonparametric Methods

Decision Theory

Filters