Question 1

In stratified random sampling,a population is divided into subgroups called strata and a sample is randomly selected from each stratum.

Accepted Answer

A) True 
 B)False  True

Question 2

Based on the central limit theorem,the size of the sampling error is

Accepted Answer

A) Directly related to the sample size,i.e. ,the larger the sample size the larger the sampling error. 
B) Directly related to the population mean,i.e. ,the larger the mean,the larger the sampling error. 
C) Inversely related to the sample size,i.e. ,the larger the sample size the smaller the sampling error. 
D) Inversely related to the population standard deviation,i.e. ,the smaller the standard deviation,the larger the sampling error. 
A) Directly related to the sample size,i.e. ,the larger the sample size the larger the sampling error. 
B) Directly related to the population mean,i.e. ,the larger the mean,the larger the sampling error. 
C) Inversely related to the sample size,i.e. ,the larger the sample size the smaller the sampling error. 
D) Inversely related to the population standard deviation,i.e. ,the smaller the standard deviation,the larger the sampling error. C

Question 3

If the size of a sample equals the size of the population,we would not expect any error in estimating the population parameter.

Accepted Answer

A) True 
 B)False  True

Question 4

In practice,researchers collect a sample of size "n" and compute point estimates of population parameters.Based on the Central Limit Theorem,how can sampling error be reduced?

Accepted Answer

Increasing

Question 5

What is the name of the standard deviation of the sampling distribution of the sample means called? ______________________

Accepted Answer

Standard e

Question 6

An experiment involves selecting a random sample of 256 middle managers at random for study.One item of interest is their mean annual income.The sample mean is computed to be $35,420 and the sample standard deviation is $2,050.What is the standard error of the mean?

Accepted Answer

A) $128.125 
B) $138.36 
C) $2,050 
D) $8.01 
A) $128.125 
B) $138.36 
C) $2,050 
D) $8.01

Question 7

Suppose we select every fifth invoice in a file.What type of sampling is this?

Accepted Answer

A) Random 
B) Cluster 
C) Stratified 
D) Systematic 
A) Random 
B) Cluster 
C) Stratified 
D) Systematic

Question 8

The mean of all possible sample means is equal to the

Accepted Answer

A) population variance. 
B)    . 
C) sample variance. 
D) population mean. 
A) population variance. 
B)    . 
C) sample variance. 
D) population mean.

Question 9

A statewide sample survey is to be made.First,the state is subdivided into counties.Seven counties are selected at random and further sampling is concentrated on these seven counties.What type of sampling is this?

Accepted Answer

A) Simple random 
B) Systematic random sampling 
C) Cluster 
D) Stratified 
A) Simple random 
B) Systematic random sampling 
C) Cluster 
D) Stratified

Question 10

An estimate of the population mean based on a large sample is less reliable than an estimate made using a small sample.

Accepted Answer

A) True 
 B)False

Question 11

The mean of all possible sample means is equal to the population mean.

Accepted Answer

A) True 
 B)False

Question 12

A group of statistics students decided to conduct a survey at their university to find the average (mean)amount of time students spend studying per week.Based on a simple random sample,they surveyed 144 students.The statistics showed that students studied an average of 20 hours per week with a standard deviation of 10 hours.What is the probability that average student study time is between 18 and 22 hours?

Accepted Answer

A) 0.9640 
B) 0.0160 
C) 0.0360 
D) 0.9840 
A) 0.9640 
B) 0.0160 
C) 0.0360 
D) 0.9840

Question 13

Sampling from a population may be preferred because studying all the items in a population may be too _____________.

Accepted Answer

The answer of Sampling from a population may be preferred...

Question 14

Based on the central limit theorem,sampling error will decrease as sample size increases.

Accepted Answer

A) True 
 B)False

Question 15

Based on the central limit theorem,sampling error will decrease as sample size decreases.

Accepted Answer

A) True 
 B)False

Question 16

If a population is not normally distributed,the sampling distribution of the sample means tends to approximate a normal distribution.

Accepted Answer

A) True 
 B)False

Question 17

Sampling a population is often necessary because the cost of studying all the items in the population is prohibitive.

Accepted Answer

A) True 
 B)False

Question 18

For a distribution of sample means constructed by sampling 5 items from a population of 15,

Accepted Answer

A) the sample size is 15 
B) there will be 3003 possible sample means 
C) the mean of the sample means will be 3 
D) the standard error will be 1 
A) the sample size is 15 
B) there will be 3003 possible sample means 
C) the mean of the sample means will be 3 
D) the standard error will be 1

Question 19

A group of statistics students decided to conduct a survey at their university to find the average (mean)amount of time students spend studying per week.Based on a simple random sample,they surveyed 144 students.The statistics showed that students studied an average of 20 hours per week with a standard deviation of 10 hours.What is the probability that a sample mean would exceed 20 hours per week?

Accepted Answer

A) 1.0 
B) 0.5 
C) 1.96 
D) Cannot be calculated based on the given information. 
A) 1.0 
B) 0.5 
C) 1.96 
D) Cannot be calculated based on the given information.

Question 20

When using systematic random sampling,the sampling error will be zero.

Accepted Answer

A) True 
 B)False

In stratified random sampling,a population is divided into subgroups called strata and a sample is randomly selected from each stratum.

Based on the central limit theorem,the size of the sampling error is

If the size of a sample equals the size of the population,we would not expect any error in estimating the population parameter.

In practice,researchers collect a sample of size "n" and compute point estimates of population parameters.Based on the Central Limit Theorem,how can sampling error be reduced?

What is the name of the standard deviation of the sampling distribution of the sample means called? ______________________

An experiment involves selecting a random sample of 256 middle managers at random for study.One item of interest is their mean annual income.The sample mean is computed to be $35,420 and the sample standard deviation is $2,050.What is the standard error of the mean?

Suppose we select every fifth invoice in a file.What type of sampling is this?

The mean of all possible sample means is equal to the

A statewide sample survey is to be made.First,the state is subdivided into counties.Seven counties are selected at random and further sampling is concentrated on these seven counties.What type of sampling is this?

An estimate of the population mean based on a large sample is less reliable than an estimate made using a small sample.

The mean of all possible sample means is equal to the population mean.

Sampling from a population may be preferred because studying all the items in a population may be too _____________.

Based on the central limit theorem,sampling error will decrease as sample size increases.

Based on the central limit theorem,sampling error will decrease as sample size decreases.

If a population is not normally distributed,the sampling distribution of the sample means tends to approximate a normal distribution.

Sampling a population is often necessary because the cost of studying all the items in the population is prohibitive.

For a distribution of sample means constructed by sampling 5 items from a population of 15,

When using systematic random sampling,the sampling error will be zero.

What Is Statistics

Describing Data: Frequency Distributions and Graphic Presentations

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Linear Regression and Correlation

Multiple Regression and Correlation Analysis

Chi-Square Applications

Filters

Exam 8: Sampling Methods and the Central Limit Theorem

In stratified random sampling,a population is divided into subgroups called strata and a sample is randomly selected from each stratum.

Based on the central limit theorem,the size of the sampling error is

If the size of a sample equals the size of the population,we would not expect any error in estimating the population parameter.

In practice,researchers collect a sample of size "n" and compute point estimates of population parameters.Based on the Central Limit Theorem,how can sampling error be reduced?

What is the name of the standard deviation of the sampling distribution of the sample means called? ______________________

An experiment involves selecting a random sample of 256 middle managers at random for study.One item of interest is their mean annual income.The sample mean is computed to be $35,420 and the sample standard deviation is $2,050.What is the standard error of the mean?

Suppose we select every fifth invoice in a file.What type of sampling is this?

The mean of all possible sample means is equal to the

A statewide sample survey is to be made.First,the state is subdivided into counties.Seven counties are selected at random and further sampling is concentrated on these seven counties.What type of sampling is this?

An estimate of the population mean based on a large sample is less reliable than an estimate made using a small sample.

The mean of all possible sample means is equal to the population mean.

Sampling from a population may be preferred because studying all the items in a population may be too _____________.

Based on the central limit theorem,sampling error will decrease as sample size increases.

Based on the central limit theorem,sampling error will decrease as sample size decreases.

If a population is not normally distributed,the sampling distribution of the sample means tends to approximate a normal distribution.

Sampling a population is often necessary because the cost of studying all the items in the population is prohibitive.

For a distribution of sample means constructed by sampling 5 items from a population of 15,

When using systematic random sampling,the sampling error will be zero.

What Is Statistics

Describing Data: Frequency Distributions and Graphic Presentations

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Linear Regression and Correlation

Multiple Regression and Correlation Analysis

Chi-Square Applications

Filters