CRCJ 3001 Chapter Notes - Chapter 15: Statistical Inference, Statistic, Descriptive Statistics
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Describing non-numerical data from nominal & ordinal scales of measurement: examples, classification of ppl by gender (male or female, classification of attitude (agree or disagree, classification of self-esteem (high, medium or low) 2: reporting the proportion or percentage in each category, values can be used to describe a single sample or to compare separate samples, ex. Multiple regression: multiple regression: statistical technique used for studying multivariate relationships, statistical process of finding the linear equation that produces the most accurate predicted values for y using more than one predictor variable. 3: multiple-regression equation: the resulting equation from a multiple regression analysis, y = b1x1 + b2x2 + a. Iqs than men (i. e. a real diff exists) type i error. Factors that influence the outcome of a hypothesis test: number of scores in the sample (n, results obtained from large samples simply more convincing than results from small samples, ex. 15. 4 finding the right statistics for your data.