KP290 Lecture Notes - Lecture 20: Level Of Measurement, Null Hypothesis, Chi-Squared Distribution
16 Mar 2017
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Analyze the data: relationships among variables & differences among groups & testing the observed vs the expected: more choices, what are you interested in finding, relationships among variables, use correlation methods, differences among groups, use t-test methods. Is the number of cases in each category different than what would be expected: use chi square, correlation, refers to the relationship between two variables, a statistic that describes how strongly variables are related, pearson r. Pearson product-moment correlation coefficient is the most common coefficient used to measure relationships. The closer to 1. 00 (plus or minus), the stronger the relationship: direction and strength of relationship. direction: i. strength: sign of relationship (+ or -, size of r (0-1) . the value of r ranges from +. 01 to + 1. 00 i. positive means: as one variable increases, the other variable increases, e. g. , height & weight, study time and grades, etc.
