## 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. |

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### Contents

Purposes and Limitations of Statistics | 3 |

Theory Measurement and Mathematics | 11 |

Frequency Distributions and Graphic Presentation | 41 |

Copyright | |

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05 level actually analysis of variance approximately assume assumptions binomial cells cent black Chap chapter chi-square cluster cluster sampling column computing confidence interval control variable correlation coefficient covariance critical region degrees of freedom denominator dependent difference difference-of-means test discussed effect equal estimate exactly example fact formula given independent variables indicate individuals interaction interval scale involves large number level of measurement linear mathematical median multiple nominal scale nonparametric normal curve null hypothesis obtain ordinarily pairs partial correlation percentages population possible predicted probability of getting problem procedure proportion quantity random sample ranks ratio refer regression equation relationship relatively represents sample means sampling distribution scores selected significance level simple simple random sample slope social Square root standard deviation standard error statistical stratified sampling subtracting sum of squares Suppose theoretical tion total number type II error unexplained variation zero