Statistics for the Social Sciences
In addition to showing how the statistical computations can be done by hand, the book now shows readers how to perform the computations using SAS and SPSS programs - and how to read and interpret the outputs from the computer runs too; expanded coverage on graphical display of data, significance testing, and statistical power; new formula boxes at the ends of chapters offer readers a summary of the formulas so that they can review what they learned in the chapter; and broader variety of examples and exercises (both basic and applied research) from a range of the social science disciplines, including sociology, political science, communications, psychology, education, social work, management, and health.
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How We Reason
Levels of Measurement and Forms of Data
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actually amount analysis appropriate assign association assume attitudes calculate called chapter chi-square cloudy coefficient column conclude correlation countries critical values curve death definition degrees of freedom dependent designed determine difference directional distance distribution equal error estimate example Exercise expected explained fact Figure formula frequency gamma given greater High income independent variable indicate individual interval larger less level of measurement measure median Medium normal Note null hypothesis obtained original percentage person Political population positive possible predict presented probability problem proportion rain random range regression reject relationship respondent sample means scale scores selected significance social squares standard deviation statistical step subjects Suppose Table true units variance