Statistical Methods for the Social Sciences
Assuming no prior knowledge of statistics, these authors combine their varied backgrounds—one a statistician, the other a social scientist—to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. KEY TOPICS: The Third Edition has been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.
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Sampling and Measurement
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analysis analyze ANOVA approximately bivariate box plot Chapter chi-squared conditional distribution confidence interval Construct contingency table controlling covariance crime rate Democrat denote difference dummy variables effect equals example Explain explanatory variables F test factor falls females Figure frequency gamma gender groups increases independent inference instance interaction Interpret linear logistic regression logit model loglinear model males mean square median multiple regression model murder rate normal distribution null hypothesis observations odds ratio ordinal outlier P-value pairs Pearson correlation percentage plot point estimate political ideology population distribution population mean prediction equation predictors printout probability proc provides qualitative variable quantitative race random sample Refer relationship Report Republican response variable sample mean sample proportion sampling distribution scores Section selected selling price shows significance test slope standard deviation standard error subjects sum of squares summarizes test statistic tion variance z-score