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A question-and-answer format overview of nonparametric tests and chi-square analysis. It covers key concepts such as the differences between parametric and nonparametric tests, types of data used, hypothesis testing, degrees of freedom calculation, expected frequency calculation, and assumptions for chi-square analysis. It also includes information on goodness-of-fit tests, tests for independence, effect size measures, and apa formatting for results. This resource is useful for students studying statistics and research methods, offering a concise review of essential topics and practical applications.
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__ tests make assumptions about population parameters and the data is assumed normally distributed, it is performed on numerical continuous or ratio data. - Answer - Parametric tests ___ tests make no assumptions about population parameters and uses nominal/ordinal data. - Answer - Nonparametric ___ data is ranked data - Answer - ordinal ___ data is categorical data - Answer - nominal The corresponding parametric-nonparametric test for paired sample test is ___ test - Answer - Wilcoxon Test What are the null and alternative hypotheses for a test for independence? - Answer - Ho: There is no relationship between the two variables Ha: There is a relationship between the two variables. How do you calculate df for test for independence? - Answer - df = (k1-1)(k2-1) How do you calculate expected frequency for test for independence? - Answer - Calculate total for rows, columns, and all (n). E = (row total)(column total)/n -- calculate for each individual row/column. For two variables with two categories, this would equal 4 E values. The corresponding parametric-nonparametric test for Pearson's r is ___ test - Answer - Spearman's rho ___ compares observed frequencies to expected frequencies. Provides statistical indicator for the statistical significance of the difference. - Answer - Chi-square A chi-square critical region is always __ skewed - Answer - right-skewed Determining df for chi square goodness of fit test - Answer - k-1 where k is the number of categories 4 assumptions made about data used in chi-square analysis - Answer - 1. Data is reported in frequencies