Quiz: The Distribution of Sample Means
Due Dec 1 at 11:59pm
Points 45
Questions 15
Time Limit 60 Minutes
Instructions
The quiz:
Covers the Textbook material from Module 6: Week 6.
Contains 15 multiple-choice, true/false questions.
Is limited to 1 hour.
Allows 1 attempt
Is worth 45 points.
Submit this assignment by 11:59 p.m. (ET) on Monday of Module 6: Week 6.
Attempt History
Attempt Time Score
LATEST Attempt 1 35 minutes 45 out of 45
Correct answers are hidden.
Score for this quiz: 45 out of 45
Submitted Nov 30 at 5:17pm
This attempt took 35 minutes.
Question 1
pts
A sample of n = 25 scores is selected from a normal population with a mean of µ = 80.
However, the calculated mean for this sample of scores is M = 81, not the population mean of µ
= 80. This is consistent with the concept of sampling error.
True
False
Question 2
pts
The mean of all the sample means obtained from all random samples of a certain sample size
in a sampling distribution is an example of a biased statistic.
, True
False
Question 3
pts
Which statement below is not consistent with the distribution of sample means.
The distribution of sample means tends to pile up around the population mean.
The distribution of sample means tends to be approximately normal.
The distribution of sample means depicts the means of all the random samples of a particular sample size.
The distribution of sample means tends to pile up around the population standard deviation.
Question 4
pts
Consider that a researcher is attempting to reduce the expected distance between M and µ as
much as possible when conducting a research study. One thing they can do is _.
increase the sample size.
decrease the sample size.
increase the population mean.
decrease the population mean.
Question 5
pts
On average, a sample of n = 36 scores will provide a better estimate of the population mean
than a sample of n = 49 scores from the same population.
True
False
Question 6
pts
A researcher is forced to collect data from a smaller sample of individuals to test their research
hypotheses than originally anticipated. This will have the effect of _.
reducing the expected distance between M and µ.
increasing the expected distance between M and µ.
increasing the expected value of M.
reducing the expected value of M.
Due Dec 1 at 11:59pm
Points 45
Questions 15
Time Limit 60 Minutes
Instructions
The quiz:
Covers the Textbook material from Module 6: Week 6.
Contains 15 multiple-choice, true/false questions.
Is limited to 1 hour.
Allows 1 attempt
Is worth 45 points.
Submit this assignment by 11:59 p.m. (ET) on Monday of Module 6: Week 6.
Attempt History
Attempt Time Score
LATEST Attempt 1 35 minutes 45 out of 45
Correct answers are hidden.
Score for this quiz: 45 out of 45
Submitted Nov 30 at 5:17pm
This attempt took 35 minutes.
Question 1
pts
A sample of n = 25 scores is selected from a normal population with a mean of µ = 80.
However, the calculated mean for this sample of scores is M = 81, not the population mean of µ
= 80. This is consistent with the concept of sampling error.
True
False
Question 2
pts
The mean of all the sample means obtained from all random samples of a certain sample size
in a sampling distribution is an example of a biased statistic.
, True
False
Question 3
pts
Which statement below is not consistent with the distribution of sample means.
The distribution of sample means tends to pile up around the population mean.
The distribution of sample means tends to be approximately normal.
The distribution of sample means depicts the means of all the random samples of a particular sample size.
The distribution of sample means tends to pile up around the population standard deviation.
Question 4
pts
Consider that a researcher is attempting to reduce the expected distance between M and µ as
much as possible when conducting a research study. One thing they can do is _.
increase the sample size.
decrease the sample size.
increase the population mean.
decrease the population mean.
Question 5
pts
On average, a sample of n = 36 scores will provide a better estimate of the population mean
than a sample of n = 49 scores from the same population.
True
False
Question 6
pts
A researcher is forced to collect data from a smaller sample of individuals to test their research
hypotheses than originally anticipated. This will have the effect of _.
reducing the expected distance between M and µ.
increasing the expected distance between M and µ.
increasing the expected value of M.
reducing the expected value of M.
