Question 1

If you have a population standard deviation of 18 and a sample size of 36, what is your standard error of the mean?

Accepted Answer

A) −3 
B) 7 
C) 10 
D) 3 
A) −3 
B) 7 
C) 10 
D) 3

Question 2

In the formula for calculating a z score, what does μ stand for?

Accepted Answer

A) the obtained value 
B) the critical value 
C) the population average 
D) the sample average 
A) the obtained value 
B) the critical value 
C) the population average 
D) the sample average

Question 3

If our sample selection was perfect, what would be the difference between the sample and population averages?

Accepted Answer

A) zero 
B) one 
C) one or greater 
D) less than one 
A) zero 
B) one 
C) one or greater 
D) less than one

Question 4

If your sample mean is 25, your population average is 20, and your standard error of the mean is 8, what is your observed z value?

Accepted Answer

A) 1.5 
B) 3 
C) −5 
D) 0.63 
A) 1.5 
B) 3 
C) −5 
D) 0.63

Question 5

In the formula for calculating standard error of the mean, what does n stand for?

Accepted Answer

A) the population average 
B) the sample size 
C) the population size 
D) the sample average 
A) the population average 
B) the sample size 
C) the population size 
D) the sample average

Question 6

Sample size is taken into account when computing effect size.

Accepted Answer

A) True 
 B)False

Question 7

If the obtained value is not higher than the critical value, we ______.

Accepted Answer

A) reject the null hypothesis 
B) accept the null hypothesis 
C) accept all hypotheses 
D) reject all hypotheses 
A) reject the null hypothesis 
B) accept the null hypothesis 
C) accept all hypotheses 
D) reject all hypotheses

Question 8

After conducting a one-sample Z-test, you arrived at a value of 0.2 for the z value.What is your conclusion?

Accepted Answer

A) reject the null hypothesis 
B) accept the null hypothesis 
C) the result is too close to call 
D) None of these 
A) reject the null hypothesis 
B) accept the null hypothesis 
C) the result is too close to call 
D) None of these

Question 9

In the formula for calculating a z score, what does σ stand for?

Accepted Answer

A) standard error of the mean 
B) the z value 
C) the sample standard deviation 
D) the population standard deviation 
A) standard error of the mean 
B) the z value 
C) the sample standard deviation 
D) the population standard deviation

Question 10

The numerator of the equation for the z value is ______.

Accepted Answer

A) the population average subtracted from the mean of the sample 
B) the mean of the sample subtracted from the population average 
C) the mean of the sample subtracted from the standard error of the mean 
D) the standard error of the mean added to the mean of the sample 
A) the population average subtracted from the mean of the sample 
B) the mean of the sample subtracted from the population average 
C) the mean of the sample subtracted from the standard error of the mean 
D) the standard error of the mean added to the mean of the sample

Question 11

In z = 2.56, p < .05, what is the obtained value?

Accepted Answer

A) .05 
B) < .05 
C) 2.56 
D) 2.56 ÷ .05 
A) .05 
B) < .05 
C) 2.56 
D) 2.56 ÷ .05

Question 12

If you have a population standard deviation of 7 and a sample size of 100, what is your standard error of the mean?

Accepted Answer

A) −3 
B) 7 
C) 10 
D) 0.7 
A) −3 
B) 7 
C) 10 
D) 0.7

Question 13

In the formula for calculating a z score, what does SEM stand for?

Accepted Answer

A) standard error of the medium 
B) standard ease of the mean 
C) standard error of the mean 
D) standard ease of the medium 
A) standard error of the medium 
B) standard ease of the mean 
C) standard error of the mean 
D) standard ease of the medium

Question 14

In interpreting effect size, what is the meaning of effect size at 0.3?

Accepted Answer

A) small effect size 
B) medium effect size 
C) large effect size 
D) weak effect size 
A) small effect size 
B) medium effect size 
C) large effect size 
D) weak effect size

Question 15

In z = 2.56, p < .05, what is the probability?

Accepted Answer

A) p < .05 
B) 2.56 
C) z = 2.56 
D) There is no probability here. 
A) p < .05 
B) 2.56 
C) z = 2.56 
D) There is no probability here.

Question 16

If you have a population standard deviation of 2 and a sample size of 9, what is your standard error of the mean?

Accepted Answer

A) 0.76 
B) −0.67 
C) 0.67 
D) −0.76 
A) 0.76 
B) −0.67 
C) 0.67 
D) −0.76

Question 17

In the effect size formula, what does d stand for?

Accepted Answer

A) the sample mean 
B) effect size 
C) the population mean 
D) the population standard deviation 
A) the sample mean 
B) effect size 
C) the population mean 
D) the population standard deviation

Question 18

The results of both one-sample Z- and t-test are basically the same.

Accepted Answer

A) True 
 B)False

Question 19

A one-sample Z-test can be used to compare the mean of two samples.

Accepted Answer

A) True 
 B)False

Question 20

If you're comparing the test scores between two classrooms, you should use a one-sample Z-test.

Accepted Answer

A) True 
 B)False

Exam 10: Only the Lonely: The One Sample Z-Test

If you have a population standard deviation of 18 and a sample size of 36, what is your standard error of the mean?

In the formula for calculating a z score, what does μ stand for?

If our sample selection was perfect, what would be the difference between the sample and population averages?

If your sample mean is 25, your population average is 20, and your standard error of the mean is 8, what is your observed z value?

In the formula for calculating standard error of the mean, what does n stand for?

Sample size is taken into account when computing effect size.

If the obtained value is not higher than the critical value, we ______.

After conducting a one-sample Z-test, you arrived at a value of 0.2 for the z value.What is your conclusion?

In the formula for calculating a z score, what does σ stand for?

The numerator of the equation for the z value is ______.

In z = 2.56, p < .05, what is the obtained value?

If you have a population standard deviation of 7 and a sample size of 100, what is your standard error of the mean?

In the formula for calculating a z score, what does SEM stand for?

In interpreting effect size, what is the meaning of effect size at 0.3?

In z = 2.56, p < .05, what is the probability?

If you have a population standard deviation of 2 and a sample size of 9, what is your standard error of the mean?

In the effect size formula, what does d stand for?

The results of both one-sample Z- and t-test are basically the same.

A one-sample Z-test can be used to compare the mean of two samples.

If you're comparing the test scores between two classrooms, you should use a one-sample Z-test.

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