Question 1

Consider a business with 4 employees. List the composition of all possible draws when randomly selecting employees for samples of n = 3.

Accepted Answer

$\begin{array}{llll}
1,2,3 & 2,1,3 & 3,1,2 & 4,1,2 \
1,2,4 & 2,1,4 & 3,1,4 & 4,1,3 \
1,3,2 & 2,3,1 & 3,2,1 & 4,2,1 \
1,3,4 & 2,3,4 & 3,2,4 & 4,2,3 \
1,4,2 & 2,4,1 & 3,4,1 & 4,3,1 \
1,4,3 & 2,4,3 & 3,4,2 & 4,3,2
\end{array}$

Question 2

You should use convenience sampling when ______.

Accepted Answer

A)  you want a larger sample 
B)  you are unable to use stratified random sampling 
C)  you are unable to use simple random sampling 
D)  both b and c 
A)  you want a larger sample 
B)  you are unable to use stratified random sampling 
C)  you are unable to use simple random sampling 
D)  both b and c D

Question 3

If possible, it is always preferable to measure a parameter instead of a statistic.

Accepted Answer

A) True 
 B)False  True

Question 4

If F1F1F1S1F1F1F10F1F1F1S1F1F1F10 = 36 and n = 9, we would expect that 95% of sample means would fall between ______.

Accepted Answer

A)  ±2 
B)  ±4 
C)  ±8 
D)  ±12 
A)  ±2 
B)  ±4 
C)  ±8 
D)  ±12

Question 5

Explain the difference between random sampling and stratified random sampling. Provide an example of each.

Accepted Answer

In random sampling, subjects are chosen

Question 6

You are interested in conducting a survey of your employees, but you want to ensure that men and women are appropriately represented in your sample. In your organization, 70% of your employees are women and 30% are men. If you used stratified random sampling appropriately, how many men and women would be in your sample of 150 employees?

Accepted Answer

The answer of You are interested in conducting a survey...

Question 7

You want to ensure that the five departments in your organization are equally represented in your sample. You need 100 responses to your surveys. How many people from each department should be in your sample?

Accepted Answer

A)  5 
B)  20 
C)  100 
D)  none of these 
A)  5 
B)  20 
C)  100 
D)  none of these

Question 8

When sampling customers, you can increase the representativeness of your sample by ______.

Accepted Answer

A)  drawing from a larger population 
B)  drawing from a smaller population 
C)  collecting a smaller sample 
D)  collecting a larger sample 
A)  drawing from a larger population 
B)  drawing from a smaller population 
C)  collecting a smaller sample 
D)  collecting a larger sample

Question 9

Describe the central limit theorem and explain what we can assume about the sampling distribution based upon this principle.

Accepted Answer

The central limit theorem states that wh

Question 10

You know that the sampling distribution of all means for a given sample size will be approximately normally distributed because of the ______.

Accepted Answer

A)  assumptions of the uniform distribution 
B)  central tendency 
C)  central limit theorem 
D)  population standard error of the mean 
A)  assumptions of the uniform distribution 
B)  central tendency 
C)  central limit theorem 
D)  population standard error of the mean

Question 11

$\sigma_{x}^{-}$ represents the population standard error of the mean.

Accepted Answer

A) True 
 B)False

Question 12

Define sample standard error in terms of both sample means and the sampling distribution.

Accepted Answer

The sample standard error is t

Question 13

If n = 4 and F1F1F1S1F1F1F10 = 2, the population standard error is ______.

Accepted Answer

A)  0.5 
B)  1.0 
C)  2.0 
D)  8.0 
A)  0.5 
B)  1.0 
C)  2.0 
D)  8.0

Question 14

If you have complete access to sample your population, simple random sampling is the best method to use.

Accepted Answer

A) True 
 B)False

Question 15

Larger sample sizes lead to smaller standard errors.

Accepted Answer

A) True 
 B)False

Question 16

If F1F1F1S1F1F1F10 = 10, all sample means should also equal 10.

Accepted Answer

A) True 
 B)False

Question 17

The population standard error of the mean is ______.

Accepted Answer

A)  the z-score of the population mean 
B)  the z-score of the population standard deviation 
C)  the standard deviation of all possible sample means 
D)  the mean of all possible sample standard deviations 
A)  the z-score of the population mean 
B)  the z-score of the population standard deviation 
C)  the standard deviation of all possible sample means 
D)  the mean of all possible sample standard deviations

Question 18

A good sample will perfectly reflect the population.

Accepted Answer

A) True 
 B)False

Question 19

If you sample standard error equals .25, this means that ______.

Accepted Answer

A)  on average, sample means fall within 25% of the population mean 
B)  on average, sample means fall within .25 of the population mean 
C)  on average, sample means fall within .5 of the population mean 
D)  none of these 
A)  on average, sample means fall within 25% of the population mean 
B)  on average, sample means fall within .25 of the population mean 
C)  on average, sample means fall within .5 of the population mean 
D)  none of these

Question 20

If you have more than a single group of interest, you can use stratified random sampling to ensure an equal representation of all groups in your sample.

Accepted Answer

A) True 
 B)False

Consider a business with 4 employees. List the composition of all possible draws when randomly selecting employees for samples of n = 3.

You should use convenience sampling when ______.

If possible, it is always preferable to measure a parameter instead of a statistic.

If ^ = 36 and n = 9, we would expect that 95% of sample means would fall between ______.

Explain the difference between random sampling and stratified random sampling. Provide an example of each.

You want to ensure that the five departments in your organization are equally represented in your sample. You need 100 responses to your surveys. How many people from each department should be in your sample?

When sampling customers, you can increase the representativeness of your sample by ______.

Describe the central limit theorem and explain what we can assume about the sampling distribution based upon this principle.

You know that the sampling distribution of all means for a given sample size will be approximately normally distributed because of the ______.

$\sigma_{x}^{-}$ represents the population standard error of the mean.

Define sample standard error in terms of both sample means and the sampling distribution.

If n = 4 and  = 2, the population standard error is ______.

If you have complete access to sample your population, simple random sampling is the best method to use.

Larger sample sizes lead to smaller standard errors.

If  = 10, all sample means should also equal 10.

The population standard error of the mean is ______.

A good sample will perfectly reflect the population.

If you sample standard error equals .25, this means that ______.

If you have more than a single group of interest, you can use stratified random sampling to ensure an equal representation of all groups in your sample.

The Language of Statistics

Working With Numbers and Data Display

Central Tendency and Variability

Probability Distributions

Estimation and Confidence Intervals

Hypothesis Testing

Tests for Significance: Z-Tests and One-Sample T-Tests

Tests for Significance: Paired and Independent-Samples T-Test

Analysis of Variance Anova

CHI-Squared Tests of Fit

Correlation R and Regression Y BX A

Matching Statistical Tests to Business Problems

Filters

Exam 5: Sampling Distributions

Consider a business with 4 employees. List the composition of all possible draws when randomly selecting employees for samples of n = 3.

You should use convenience sampling when ______.

If possible, it is always preferable to measure a parameter instead of a statistic.

If  = 36 and n = 9, we would expect that 95% of sample means would fall between ______.

Explain the difference between random sampling and stratified random sampling. Provide an example of each.

You want to ensure that the five departments in your organization are equally represented in your sample. You need 100 responses to your surveys. How many people from each department should be in your sample?

When sampling customers, you can increase the representativeness of your sample by ______.

Describe the central limit theorem and explain what we can assume about the sampling distribution based upon this principle.

You know that the sampling distribution of all means for a given sample size will be approximately normally distributed because of the ______.

σx−\sigma_{x}^{-}σx−​ represents the population standard error of the mean.

Define sample standard error in terms of both sample means and the sampling distribution.

If n = 4 and  = 2, the population standard error is ______.

If you have complete access to sample your population, simple random sampling is the best method to use.

Larger sample sizes lead to smaller standard errors.

If  = 10, all sample means should also equal 10.

The population standard error of the mean is ______.

A good sample will perfectly reflect the population.

If you sample standard error equals .25, this means that ______.

If you have more than a single group of interest, you can use stratified random sampling to ensure an equal representation of all groups in your sample.

The Language of Statistics

Working With Numbers and Data Display

Central Tendency and Variability

Probability Distributions

Estimation and Confidence Intervals

Hypothesis Testing

Tests for Significance: Z-Tests and One-Sample T-Tests

Tests for Significance: Paired and Independent-Samples T-Test

Analysis of Variance Anova

CHI-Squared Tests of Fit

Correlation R and Regression Y BX A

Matching Statistical Tests to Business Problems

Filters

If ^ = 36 and n = 9, we would expect that 95% of sample means would fall between ______.

$\sigma_{x}^{-}$ represents the population standard error of the mean.