Question 1

The Central Limit Theorem states that as the sample size increases,the distribution of the sample ____________ approaches the normal distribution.

Accepted Answer

A)  medians 
B)  means 
C)  standard deviations 
D)  variances 
A)  medians 
B)  means 
C)  standard deviations 
D)  variances

Question 2

A sample statistic is an unbiased point estimate of a population parameter if the mean of the populations of all possible values of the sample statistic equals the population parameter.

Accepted Answer

A) True 
 B)False

Question 3

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

Question 4

If the sample size n is infinitely large,then s2 is an unbiased estimator of σ2.

Accepted Answer

A) True 
 B)False

Question 5

There is no easy way to calculate an unbiased point estimate of σ.

Accepted Answer

A) True 
 B)False

Question 6

According to the Central Limit Theorem,if a sample size is at least _____,then for most sampled populations,we can conclude that the sample means are approximately normal.

Accepted Answer

A)  25 
B)  20 
C)  30 
D)  50 
A)  25 
B)  20 
C)  30 
D)  50

Question 7

For any sampled population,the population of all sample means is approximately normally distributed.

Accepted Answer

A) True 
 B)False

Question 8

A minimum-variance unbiased point estimate has a variance that is as small as or smaller than the variances of any other unbiased point estimate.

Accepted Answer

A) True 
 B)False

Question 9

The standard deviation of the sampling distribution of the sample mean is σ.

Accepted Answer

A) True 
 B)False

Question 10

The sampling distribution of the sample mean is a normal distribution for ________ sample sizes,regardless of the shape of the corresponding population distribution.

Accepted Answer

A)  random 
B)  large 
C)  larger than 50 
D)  small 
A)  random 
B)  large 
C)  larger than 50 
D)  small

Question 11

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 12

As the sample size increases,the variability of the sampling distribution of the mean ______________.

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 13

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

Accepted Answer

A)  population 
B)  random 
C)  observed 
D)  sample 
A)  population 
B)  random 
C)  observed 
D)  sample

Question 14

If the sampled population is exactly normally distributed,then the sampling distribution of 
is also expected to be normal,regardless of the sample size.

Accepted Answer

A) True 
 B)False

Question 15

The spread of the sampling distribution of is ____________ the spread of the corresponding population distribution sampling distribution.

Accepted Answer

A)  larger than 
B)  smaller than 
C)  the same as 
D)  exactly ½ 
A)  larger than 
B)  smaller than 
C)  the same as 
D)  exactly ½

Question 16

If a population distribution is known to be normal,then it follows that

Accepted Answer

A)  the sample mean must equal the population mean. 
B)  the sample mean must equal the population mean for large samples. 
C)  the sample standard deviation must equal the population standard deviation. 
D)  the sample mean must equal the population mean,the sample mean must equal the population mean for large samples,and the sample standard deviation must equal the population standard deviation. 
E)  None of the other choices is correct. 
A)  the sample mean must equal the population mean. 
B)  the sample mean must equal the population mean for large samples. 
C)  the sample standard deviation must equal the population standard deviation. 
D)  the sample mean must equal the population mean,the sample mean must equal the population mean for large samples,and the sample standard deviation must equal the population standard deviation. 
E)  None of the other choices is correct.

Question 17

As the sample size increases,the standard deviation of the sampling distribution increases.

Accepted Answer

A) True 
 B)False

Question 18

If the sampled population is finite and at least _____ times larger than the sample size,we treat the population as infinite.

Accepted Answer

A)  5 
B)  20 
C)  30 
D)  10 
A)  5 
B)  20 
C)  30 
D)  10

Question 19

The ___________ is a minimum-variance unbiased point estimate of the mean of a normally distributed population.

Accepted Answer

A)  sample mean 
B)  sample variance 
C)  sample standard deviation 
D)  observed mean 
A)  sample mean 
B)  sample variance 
C)  sample standard deviation 
D)  observed mean

Question 20

A sample size of 500 is sufficiently large to conclude that the sampling distribution of 
is a normal distribution,when the estimate of the population proportion is .995.

Accepted Answer

A) True 
 B)False

The Central Limit Theorem states that as the sample size increases,the distribution of the sample ____________ approaches the normal distribution.

A sample statistic is an unbiased point estimate of a population parameter if the mean of the populations of all possible values of the sample statistic equals the population parameter.

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.

If the sample size n is infinitely large,then s² is an unbiased estimator of σ².

There is no easy way to calculate an unbiased point estimate of σ.

According to the Central Limit Theorem,if a sample size is at least _____,then for most sampled populations,we can conclude that the sample means are approximately normal.

For any sampled population,the population of all sample means is approximately normally distributed.

A minimum-variance unbiased point estimate has a variance that is as small as or smaller than the variances of any other unbiased point estimate.

The standard deviation of the sampling distribution of the sample mean is σ.

The sampling distribution of the sample mean is a normal distribution for ________ sample sizes,regardless of the shape of the corresponding population distribution.

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

As the sample size increases,the variability of the sampling distribution of the mean ______________.

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

If the sampled population is exactly normally distributed,then the sampling distribution of is also expected to be normal,regardless of the sample size.

The spread of the sampling distribution of is ____________ the spread of the corresponding population distribution sampling distribution.

If a population distribution is known to be normal,then it follows that

As the sample size increases,the standard deviation of the sampling distribution increases.

If the sampled population is finite and at least _____ times larger than the sample size,we treat the population as infinite.

The ___________ is a minimum-variance unbiased point estimate of the mean of a normally distributed population.

A sample size of 500 is sufficiently large to conclude that the sampling distribution of is a normal distribution,when the estimate of the population proportion is .995.

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 the sample size increases,the distribution of the sample ____________ approaches the normal distribution.

A sample statistic is an unbiased point estimate of a population parameter if the mean of the populations of all possible values of the sample statistic equals the population parameter.

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.

If the sample size n is infinitely large,then s2 is an unbiased estimator of σ2.

There is no easy way to calculate an unbiased point estimate of σ.

According to the Central Limit Theorem,if a sample size is at least _____,then for most sampled populations,we can conclude that the sample means are approximately normal.

For any sampled population,the population of all sample means is approximately normally distributed.

A minimum-variance unbiased point estimate has a variance that is as small as or smaller than the variances of any other unbiased point estimate.

The standard deviation of the sampling distribution of the sample mean is σ.

The sampling distribution of the sample mean is a normal distribution for ________ sample sizes,regardless of the shape of the corresponding population distribution.

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

As the sample size increases,the variability of the sampling distribution of the mean ______________.

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

If the sampled population is exactly normally distributed,then the sampling distribution of is also expected to be normal,regardless of the sample size.

The spread of the sampling distribution of is ____________ the spread of the corresponding population distribution sampling distribution.

If a population distribution is known to be normal,then it follows that

As the sample size increases,the standard deviation of the sampling distribution increases.

If the sampled population is finite and at least _____ times larger than the sample size,we treat the population as infinite.

The ___________ is a minimum-variance unbiased point estimate of the mean of a normally distributed population.

A sample size of 500 is sufficiently large to conclude that the sampling distribution of is a normal distribution,when the estimate of the population proportion is .995.

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

If the sample size n is infinitely large,then s² is an unbiased estimator of σ².