Chapter 9 Hypothesis Testing

Question 1

Hypothesis Testing:

Answer 1

A statistical method that uses sample data to evaluate a hypothesis about a population.

Question 2

Null Hypothesis (H0):

Answer 2

The hypothesis that states there is no effect or no difference between groups.

Question 3

Alternative Hypothesis (Ha):

Answer 3

The hypothesis that contradicts the null hypothesis, stating there is an effect or difference.

Question 4

Type I Error:

Answer 4

Rejecting a true null hypothesis (false positive).

Question 5

Type II Error:

Answer 5

Failing to reject a false null hypothesis (false negative).

Question 6

P-Value:

Answer 6

The probability of obtaining test results at least as extreme as the observed results, assuming the null hypothesis is true.

Question 7

Alpha Level (α):

Answer 7

The predetermined threshold for statistical significance.

Question 8

Effect Size:

Answer 8

A measure of the magnitude of an experimental effect, independent of sample size.

Question 9

Statistical Power:

Answer 9

The probability of correctly rejecting a false null hypothesis.

Question 10

Statistical Significance:

Answer 10

The determination that results are unlikely to have occurred by chance.