Use these terms: . Type l 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