Question

Hypothesis testing terminology

a. Level of Significance	d. Power	g. Test Statistic
b. Alternative Hypothesis	e. Effect Size	h. Type I Error
c. Null Hypothesis	f. Type II Error	i. Significant Effect

Match each of the following descriptions with its corresponding term from the list above. Enter the letter corresponding to the correct term in the blank.

	A mistake researchers can make when they don’t conclude, for example, that a treatment has an effect when it actually does
	The hypothesis for a hypothesis test that predicts that the independent variable has an effect
	The probability of rejecting the null hypothesis when it is false
	A treatment has this if the decision from the hypothesis test is to reject the null hypothesis
	An indication of the magnitude of the treatment effect
	A value computed using sample data that is used to decide whether to reject the null hypothesis
	A mistake researchers can make when they conclude, for example, that a treatment has an effect when it does not
	The hypothesis for a hypothesis test that predicts that the independent variable has no effect
	The maximum probability the researcher is willing to accept of making a Type I error

Answer 1

1. A mistake researchers can make when they don’t conclude, for example, that a treatment has an effect when it actually does - Type II Error

2. The hypothesis for a hypothesis test that predicts that the independent variable has an effect - Alternative Hypothesis

3. The probability of rejecting the null hypothesis when it is false - Power

4. A treatment has this if the decision from the hypothesis test is to reject the null hypothesis - Significant Effect

5. An indication of the magnitude of the treatment effect - Effect Size

6. A value computed using sample data that is used to decide whether to reject the null hypothesis - Test Statistic

7. A mistake researchers can make when they conclude, for example, that a treatment has an effect when it does not - Type I Error

8. The hypothesis for a hypothesis test that predicts that the independent variable has no effect - Null Hypothesis

9. The maximum probability the researcher is willing to accept of making a Type I error - Level of Significance