CHAPTER 21
Introduction to the t Test
1. Example 1 mentions how many possible explanations for the 3-point difference?
2. What is the name of the hypothesis which states that the observed difference is due to sampling errors created by random sampling?
3. Which of the following statements is true (circle one)?
A. The t test is used to test the difference between two sample means to determine
statistical significance.
B. The t test is used to test the difference between two population means to determine
statistical significance.
4. If a t test yields a low probability, such as p < .05, what decision is usually made about
the null hypothesis?
5. The larger the sample, the (circle one)
A. more likely the null hypothesis will be rejected.
B. less likely the null hypothesis will be rejected.
6. The smaller the observed difference between two means, the (circle one)
A. more likely the null hypothesis will be rejected.
B. less likely the null hypothesis will be rejected.
7. If there is no variation among members of a population, is it possible to have sampling
errors when sampling from the population?
8. If participants are first paired before being randomly assigned to experimental and control
groups, are the resulting data “independent” or “dependent”?
9. Which type of data tends to have less sampling error (circle one)?
A. Independent
B. Dependent
Notes
1. As indicated in Chapter 20, when a result is
