Statistics for the Social Sciences

actually analysis of variance approximately association assumptions Bayesian Bernoulli process binomial distribution chapter chi-square class intervals coefficient column comparisons computed confidence interval consider correlation corresponding cumulative degrees of freedom depends discrete random variable E(MS elementary events equal estimate exactly example expectation experiment experimenter F test factor fixed effects frequency distribution function rule Furthermore given groups H₁ independent individual inferences linear regression mathematical mean square measurement median methods normal distribution null hypothesis observations occur pairs parameter particular percentile population distribution population means possible values posterior distribution prediction prior distribution probability distribution problem random sample rank ratio rejection relation represented rows sample mean sample result sample space sampling distribution Section significant simple situation standard deviation standard error standardized score statistical subjects sum of squares suppose symbol theoretical theory tion treatment trials true zero ΣΣ