EDPSY 490 final study guide with complete solutions

EDPSY 490 final study guide with complete solutions parsimony - ANSWER-capturing the essence of the data in the simplest manner possible, without misrepresenting the data population - ANSWER-the scores we wish to know about (aka "truth") parameters - ANSWER-numerical descriptions (quantities) of a population (of scores) - "truth" statistics - ANSWER-numerical descriptions (quantities) of a sample of scores - "reality" μ formal definition - ANSWER-E(X) μ computational definition - ANSWER-summation of (x)/n σ² computational definition - ANSWER-summation of (x-mu)^2/n σ² formal definition - ANSWER-E(x-mu)^2 nominal - ANSWER-unordered categories ordinal - ANSWER-ordered categories interval - ANSWER-ordered categories + equal spaces ratio - ANSWER-ordered categories + equal spaces + true zero formula for a z-score - ANSWER-(x-mu)/sd Copyright © KAYLIN 2024/2025 ACADEMIC YEAR. ALL RIGHTS RESERVED FIRST PUBLISH NOVEMBER, 2024 Copyright ©Stuvia International BV Page 2/4 definition of a z-score - ANSWER-converting an X from its original units to the number of standard deviations it is from the mean formula for a 1-group z-test statistic - ANSWER-(xbar-mu)/true standard error of the means formula for a 2-group t-test statistic - ANSWER-(xbar1 - xbar2) - (mu1 - mu2)/standard error of the mean differences unbiasedness - ANSWER-statistic doesn't under/overestimate the parameter consistency - ANSWER-as sample size increases, distribution becomes more compact efficiency - ANSWER-going for the parameter that has the least variability (mean) Central Limit Theorem - ANSWER-tells us the shape of most sampling distributions (we can assume it is normal if there is a large enough sample size) z = 1 - ANSWER-34.13% z = 2 - ANSWER-47.72% z = 3 - ANSWER-49.87% sum of squared deviations (SS) - ANSWER-summa