A Brief Quiz on Chapter 13
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1When researchers choose an alpha risk of .05, they are revealing that five times out of a hundred they will claim statistical significance by chance alone.

2In the logic of hypothesis testing, researchers attempt to find evidence to prove their research hypotheses.

3Probability is the frequency that an event occurs in the population.

4The critical region is the portion of a probability distribution which, if a test statistic falls in that zone, will cause researchers to claim to have found a "significant relationship."

5A "significant difference" is identified as one that holds importance for researchers.

6Alpha risk is the probability of committing a Type II error.

7The central limit theorem tells us that sampling distributions become normal as the sample size increases.

8Power is the probability of rejecting the null hypothesis correctly.

9If sample sizes are equal, the effects of violating the assumption of homogeneous variances are trivial.

10The standard error of the mean is an index of the probable mistakes made when estimating data points.

11The t test for independent samples is used to compare the mean differences in two scores for each individual in the sample.