SPSS 16.0 Guide to Data Analysis
TheSPSS 16.0 Guide to Data Analysisis a friendly introduction to both data analysis and SPSS, the world's leading desktop statistical software package. Easy-to-understand explanations and in-depth content make this guide both an excellent supplement to other statistics texts and a superb primary text for any introductory data analysis course. With theSPSS 16.0 Guide to Data Analysis, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS. Author Marija Noru is incorporates a wealth of data, including the General Social Survey and studies of Internet usage, opinions of the criminal justice system, marathon running times, library patronage, and the importance of manners. These data files are supplied with the book and are used throughout the examples and expanded chapter exercises. This unique combination of examples, exercises, and contemporary data gives you hands-on experience in analyzing data and makes learning about data analysis and statistical software relevant, unintimidating, and even fun! Data CD-ROM included.
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Analyze answer the following assumptions average axis bar chart birthrate boxplot calculate cell Chapter Chart Editor chi-square cholesterol codes column compute confidence interval correlation coefficient Crosstabs crosstabulation Data Editor data file data values dependent descriptive statistics dialog box double-click example female life expectancy file to answer following questions frequency table gender groups high school histogram income independent variables Internet users labeled less linear regression look measure median menus choose missing values normal distribution null hypothesis number of hours observed significance level obtain One-Sample T Test output pairs percentage percentile pie chart pivot table points population mean population value predicted values procedure reject the null relationship responses sample means scatterplot select the variable shown in Figure Social Survey SPSS square standard deviation standard error standard score stem-and-leaf plot Studentized residuals subgroups summary statistics tell test the null Total usenet week What's