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Extra resources for Schaum's Easy Outline: Statistics (Based On Schaum's Outline of Theory and Problems of Statistics)
Sample text
05 is the significance level of the test. , the probability of making a Type I error). 05 level. 96 constitutes what is called the critical region of the hypothesis, the region of rejection of the hypothesis, or the region of significance. 96 is thus called the region of acceptance of the hypothesis, or the region of nonsignificance. 96). 05 level. Accept the hypothesis otherwise (or, if desired, make no decision at all). * Note! Because the z score plays such an important part in tests of hypotheses, it is also called a test statistic.
It is of great value in many < previous page page_38 next page > < previous page page_39 next page > Page 39 connections. For example, it is useful in estimating unknown population quantities (such as population mean and variance), often called population parameters or briefly parameters, from a knowledge of corresponding sample quantities (such as sample mean and variance), often called sample statistics or briefly statistics. Sampling theory is also useful in determining whether the observed differences between two samples are due to chance variation or whether they are really significant.
73% of the time, respectively. 73% confidence intervals for estimating sS. 73% confidence limits. 99) confidence limits for S. The percentage < previous page page_48 next page > < previous page next page > page_49 Page 49 confidence is often called the confidence level. , in the confidence limits are called confidence coefficients, or critical values, and are denoted by zc. From confidence levels we can find confidence coefficients, and vice versa. Table 6-1 shows the values of zc corresponding to various confidence levels used in practice.