PSYCH 2220 Lecture Notes - Lecture 1: Statistical Inference, Stroop Effect, Sampling Bias

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Learn statistical methods for interpreting and conducting research. Numerical literacy and statistical skills: learning to read and fluently process numeric information is essential, appropriately graph data and interpret graphs. Descriptive statistic: overall average of height of students in this classroom. Inferential statistics: to find height of all of osu, use findings from class and infer the results to the osu pop. Effect size: how much things are related. Null-hypothesis inference testing: reject null-hypothesis, or fail to reject null-hypothesis. Statistic: value that summarizes data in a sample. If we have all the relative data then it"s called a parameter . Number: we"re used to thinking of numbers as fully determinate entities; 2=2, 2 is less than 3, etc: a different view: estimates or approximations, a measured 2 might bean 2. 0, give or take a bit because we"re taking measurements, we cant say 2 is exactly 2. 0000000000 .

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