MARK 302 Study Guide - Final Guide: Confidence Interval, Regression Analysis, Pearson Product-Moment Correlation Coefficient
8 Dec 2016
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Chapter 14: statistical tests or relation and difference. Bivariate techniques: statistical methods of analyzing the relationship between two variables. Multivariate techniques: statistical methods of analyzing the relationship using more than two variables: chi-square test of independence for nominal variables, pearson correlation for ratio or interval variables, linear regression for ratio of interval variables. A statistical technique used to determine whether two nominal variables (categories) are independent or not independent (whether they are related) Ho: the two variables are independent (i. e. , unrelated). If p-value of computed pearson chi-square statistic is less or equal than 0. 05, reject ho (accept. If p-value of computed pearson chi-square statistic is higher than 0. 05, fail to reject ho. The computed pearson chi-square 6. 348 and its associated p-value is 0. 012. As the p-value is less than 0. 05, we can conclude with a 95% level of confidence that the two variables are not independent (which is our ha).
