Module 5 Quiz

Question 1

The Central Limit Theorem states that:

Answer 1

The sampling distribution of means becomes normal as sample size increases

Question 1

The sampling distribution of means will have:

Answer 1

The same mean as the population

Question 2

The standard error of the mean is:

Answer 2

he standard deviation divided by the square root of n

Question 3

The sampling distribution of the mean will be approximately normal when:

Answer 3

The sample size is at least 30 OR the population is normally distributed

Question 4

When calculating a z-score for a sample mean, we divide by:

Answer 4

Standard error

Question 5

Which is NOT one of the basic assumptions for hypothesis testing?

Answer 5

Large Sample Size
(assumptions are Equal variance, independence, and Random sampling)

Question 6

The assumption of normality means:

Answer 6

The dependent variable should be normally distributed

Question 7

Power in hypothesis testing is:

Answer 7

Always equal to 1 minus beta

Question 7

A researcher sets α = .05. This means:

Answer 7

5% chance of Type I error

Question 8

Which factor does NOT affect statistical power?

Answer 8

Null Hypothesis
(affected by Effect size, Sample size, and Significance level)