Module 8 : Nonparametric Tests and Chi-Square Analysis Questions With 100% Verified Answer, Exams of Statistics

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___ tests make no assumptions about population parameters and uses nominal/ordinal data. ____ data is ranked data ____ data is categorical data The corresponding parametric- nonparametric test for paired sample testis__ test The corresponding parametric- nonparametric test for independent samplest-tests are the _ test The corresponding parametric- nonparametric test for an ANOVA testis __ test The corresponding parametric- nonparametric test for Pearson's r is ____ test ____ compares observed frequencies to expected frequencies. Provides statistical indicator for the statistical significance of the difference. A chi-square critical region is always ___ skewed Determining df for chi square goodness of fit test 4 assumptions made about data used inchi-square analysis What are the null and alternative hypotheses for the chi square goodness of fit test? What values do you need for the chi square critical value table? What is the APA format for results for a goodness of fit test? How to calculate expected frequency for goodness of fit test The expected frequency calculated tells you the frequency that should result due to Ho: All proportions are equal Ha: All proportions are not equal Alpha and df In a recent survey about __, report results of survey. The data showered that there is/not a statistically significant difference in the two variables. X42 (df,N)=calculated x42, p-value E=n/k Chance A____ table is used for goodness of fittests,a__— test is used for tests for independence What are the null and alternative hypotheses for a test for independence? How do you calculate df for test for independence? Calculate total for rows, columns, and all (n). How do you calculate expected frequency for test for independence? Frequency table, contingency table Ho: There is no relationship between the two variablesha: There is a relationship between the two variables. Df = (k1-1)(k2-1) E = (row total)(column total)/n -- calculate for each individual row/column. For two variables with Medium effect for AEor Cramer's V Large effect for Aor Cramer's V In a goodness of fit test, if the null hypothesis is not rejected, then differences between the observed and expected frequencies are most likely due to (larger df) 0.13-0.30 (smaller df) (larger df) 0.22-0.50 (smaller df) Sampling error