COMM 225 Study Guide - Final Guide: Confidence Interval, Percentile, Skewness
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"quantitative" (cid:728)(cid:1) simple"random"sample" (cid:728)(cid:1) systematic"sampling" (cid:728)(cid:1) stratified"sampling" (cid:728)(cid:1) voluntary"response"sampling" (cid:728)(cid:1) cross"sectional"vs. "mutually"exclusive" (cid:728)(cid:1) complement"rule" (cid:728)(cid:1) 0 p(x) 1; p(x) = 1 (cid:728)(cid:1) sample space = 1 (cid:728)(cid:1) combination & permutation (cid:728)(cid:1) 3 statistical methods: classical, relative frequency, subjective. Chapter 5 & 6 discrete & continuous probability. Distribution (cid:728)(cid:1) variance"s shortcut formula: x2 p(x) - 2 ; Standard deviation: x2 p(x) - 2 (cid:728)(cid:1) expected value: e(x) = mean (cid:728)(cid:1) binomial probability ! e(x); variance; s. d. (cid:728)(cid:1) normal distribution (cid:728)(cid:1) the standardized mean = 0 (cid:728)(cid:1) z-score = [x(bar)- ]/" . Chapter 7 sampling distribution (cid:728)(cid:1) sampling error: x(bar)- (cid:728)(cid:1) mean & proportion (cid:728)(cid:1) population vs. : p vs. p(bar) (cid:728)(cid:1) standard error & central limit theorem. Chapter 8 estimating single population parameters (cid:728)(cid:1) confidence interval (cid:728)(cid:1) margin of error; interval estimation; point.
