QUANTITATIVE ANALYSIS DESCRIPTIVE AND INFERENTIAL STATISTICS GUIDE DESCRIPTIVE

QUANTITATIVE ANALYSIS DESCRIPTIVE AND INFERENTIAL STATISTICS GUIDE

DESCRIPTIVE STATISTICS MEASURES Descriptive Statistics are summary statistics, that is, they are used in summarizing the characteristics of a data set. Such summary can include the following measures Measure of central tendency (mean) Measure of spread (standard Deviation) Tables Graphical description (charts and tables) Descriptive summary

INFERENTIAL STATISTICS MEASURES Inferential statistics are used to make inferences from a particular data set. They can be used in drawing a conclusion from a data by making generalization about a population from the results obtained from the sample drawn. Inferential statistics to be covered in this course include the following tests: Differences between groups t-test ANOVA Mann-Whitney U test Kruskal- Wallis H test Friedman test

INFERENTIAL STATISTICS MEASURES Predicting scores Linear regression Multi-linear regression Multiple regression Measure of association Pearson’s correlation Spearman correlation Chi-square test of association Chi-square test of independence

OTHER INFERENTIAL MEASURES There are some measures that must be carried out to help validate and authenticate the various inferential statistics we are using. They include: Test of normality (jaquer bera test etc. ) Test of Reliability Cronbach’s alpha test Cohen’s kappa Fleiss’ kappa Weighted kappa Kendall’s W

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