01:830:321 Lecture 2: Social+Psychology+01-830-321+Lecture+2

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Statistics in social psychology: using numbers to describe behaviors (gives common method) Quantifying behavior allows us to: summarize responses across people and look for patterns of behavior (descriptive statistics, use that pooled information to estimate how others not in the experiment might behave (inferential statistics) Descriptive statistics summaries of data (e. g. , mean, median, mode, variance, correlation) Inferential statistics estimates of the characteristics of a population from a sample of that population (e. g. , t-test, analysis of variance, chi square) Example: rating on a point scale (i. e. 1 to 7 from extreme dislike to extreme like) Variance = the dispersion of scores around the mean. Variance is the average of the sum of the squared deviations of raw scores from the mean: v = (x m) /n. Where x = raw score (data point), m = mean, n = sample size. Correlation is a measure of association between two variables (x and y) Correlation value (coefficient) can vary between -1 and +1.

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