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It's denoted by χ² 0 and used in χ² 0-test for the test of hypothesis.

In statistics & probability, χ 2-statistic is inferential statistics function used to analyze the variances of not uniformly or normally distributed data sets to estimate the unknown value of population parameters. It's denoted by F 0 and used in F-test for the test of hypothesis. In statistics & probability, F-statistic is inferential statistics function used to analyze two or more sample variances to estimate the unknown value of population parameters. So to test a hypothesis with given significance level, we calculate the critical value of z (or critical values, if the test is two-tailed) and then. T-test formula for test of hypothesis for difference between two sample means F-Test Statistic

T-test formula for test of hypothesis for sample mean It's denoted by t 0 and used in t-test for the test of hypothesis. In statistics & probability, t-statistic is inferential statistics function used to analyze variance of very small samples to estimate the unknown value of population parameters. It's denoted by Z 0 and used in Z-test for the test of hypothesis.įormula to estimate Z-statistic (Z 0) for sample meanįormula to estimate Z-statistic (Z 0) for difference between two sample means with unequal standard deviationsįormula to estimate Z-statistic (Z 0) for difference between two sample means with common standard deviationsįormula to estimate Z-statistic for sample proportionįormula to estimate Z-statistic (Z 0) for difference between two sample proportions with known p valuesįormula to estimate Z-statistic (Z 0) for difference between two sample proportions with unknown p values In statistics & probability, Z-statistic is inferential statistics function used to analyze variance of large samples to estimate the unknown value of population parameters.

In such tests, the samples observations drawn from the population is used to estimate the unknown values of the population. Z, t, F & χ² Statistics are the estimated values of characteristics of population parameter, often used in Z-Test, t-Test, F-Test & χ²-Test respectively to analyze the variations of sample data sets.