Social StatisticsPurposes and limitations of statistics; Theory, measurement, and mathematics; Univariate descriptive statistics; Nominal scales: proportions, percentages and ratios; Interval scales: frequency distributions and graphics presentation; Interval scales: measures of central tendency; Measures of dispersion; The normal distribution; Inductive statistics; Introduction to inductive statistics; Probability; Testing hypotheses: the binomial distribution; Single-sample tests involving means and proportions; Point and interval estimation; Bivariate and multivariate statistics; Two-sample tests: difference of means and proportions; Ordinal scales: two-sample nonparametric tests; Nominal scales: contigency problems; Analysis of variance; Correlation and regression; multiple and partial correlation; Analysis of covariance, dummy variables, and other applications of the linear model; Sampling; Appendix; Index. |
Contents
Purposes and Limitations of Statistics | 3 |
Theory Measurement and Mathematics | 11 |
3 | 20 |
Copyright | |
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05 level actually analysis of variance approximately assume assumptions causal cells cent black Chap chapter chi square chi-square cluster sampling column computing confidence interval control variable correlation coefficient critical region degrees of freedom denominator dependent difference difference-of-means test discussed effect equal estimate exactly example explained formula given independent variables indicate individuals interaction interval scale involves large number least-squares equation least-squares line level of measurement linear matrix measures of association median multiple multivariate N₁ nominal scale nonlinear null hypothesis obtain pairs partial correlation percentages population possible predict probability of getting problem procedure proportions quantity random sample ranks ratio regression equation relationship relatively represents sample means sampling distribution scores selected significance level simple random sample slope standard deviation standard error statistical stratified sampling subtracting sum of squares Suppose tion unexplained unity variation within-class X₁ zero