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This Concept Map, created with IHMC CmapTools, has information related to: Hypothesis testing, Hypothesis testing needs A null hypothesis, Two-side tests can be used to test The population mean, Type I and type II errors define Statistical significance, A test statistic once carried out will have an implicit p-value, Significance level is related to Type I and type II errors, Significance level is defined by The rejection region, The rejection region is bounded by the Critical value, The rejection region allows the researcher to reject A null hypothesis, Student t-test e.g. Two-side tests, A test statistic e.g. Student t-test, A test statistic is used in order to perform a test with a given Significance level, A test statistic e.g. F-test, One-side tests can be used to test The population mean, Hypothesis testing needs An alternative hypothesis, Student t-test e.g. One-side tests, A test statistic depends on Sample size, p-value is related to Type I and type II errors, A test statistic e.g. Chi-square test, Hypothesis testing is a statistical procedure to corroborate a conjecture using A test statistic