Use these terms: . Type | error O Statistical power . Type II error Power Central limit theorem . Null Effect size Significance test . Critical value Research . The allows us to predict the center, shape, and spread of the distribution of sample means (or the distribution of sample mean differences) if the null is true. State the theorem below. . The hypothesis precisely locates the center of the null distribution of sample means (or the null distribution of sample mean differences). This location is at a z value of or at t value of . The center of the hypothesis distribution of sample means (or mean differences) is estimated from the sample mean (or sample mean difference) and cannot be known before data are collected. . The probability of a is set by researchers when they set the a value. . By building the null and research hypothesis distributions of sample means (or sample mean differences), we can quantify the probability of failing to reject a false null (i.e., as well as the likelihood of rejecting a false null (i.e., . The of t or z "cuts" likely values if the null is true from unlikely values if the null is true; if a statistic (e.g., z value, t value) is more extreme than this value, the null hypothesis is unlikely to be true