Statistics with Stata: Updated for Version 7
Stata is high-powered data analysis software. This handbook was designed to bridge the gap between textbooks and Stata's own documentation. In this intermediate role, STATISTICS WITH STATA uses easy to follow tutorials to demonstrates how to use Stata to accomplish some of the most common statistical tasks. While the Stata's user documentation is over 3000 pages, this tidy manual is less than 350 pages, and introduces students and practitioners to both basic and advanced features of Stata.
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analysis ANOVA autocorrelations bootstrap boxplots byte categorical variable Chapter chi2 Coef coefficients Conf confidence intervals Contains data correlation create dataset default df MS Number display value variable distribution Do-file dummy variables estimates example factor factor rings Figure float format label variable function gender graph iteration label variable label likelihood-ratio test linear Log likelihood logistic regression matrix median memory free missing values mlife multicollinearity name type format newvar nolog normal null hypothesis Number of obs Obs Mean Std observations option outliers partial autocorrelations percent plots Poisson regression predicted values predictors Prob Province qreg quantile R-squared residuals robust regression Root MSE rreg sample SAT scores scatterplot skew sort specify SS df standard deviation standard errors Stata statistics storage display value summarize tabulate type format label Type help unemp value variable name variable name type variance varname xl x2 x3 ylabel xlabel