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SPSS IBM Statistics Grad Pack Base V28.0 6 Month License for 2 Computers Windows or Mac
- Includes FREE USB Drive. THIS PRODUCT IS FOR SALE TO CURRENT COLLEGE STUDENTS AND TEACHERS ONLY. NOT FOR SALE IN UNITED ARAB EMIRATES OR SAUDI ARABIA. V25, 6 month term
- Includes full version of SPSS Base - Windows and Mac versions included
- Be sure you have all the add-ons needed for your course or dissertation! The Base version does not include any add-ons and you may not purchase them separately or at a later time. Consider the Grad Pack Premium or GradPack Standard.
- Installs on up to 2 computers
- New in version 28: Better compatibility for MacOS and many new tests and features.
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Includes FREE USB Drive. THIS PRODUCT IS FOR SALE TO CURRENT COLLEGE STUDENTS AND TEACHERS ONLY. NOT FOR SALE IN UNITED ARAB EMIRATES OR SAUDI ARABIA. 6 month term. Both Windows and Mac versions included.
Includes these statistical tests: Crosstabulations - Counts, percentages, residuals, marginals, tests of independence, test of linear association, measure of linear association, and much more. Frequencies - Counts, percentages, valid and cumulative percentages; central tendency, dispersion, distribution and percentile values. Descriptives - Central tendency, dispersion, distribution and Z scores. Descriptive ratio statistics - Coefficient of dispersion, coefficient of variation, price-related differential and average absolute deviance. Compare means - Choose whether to use harmonic or geometric means and much more. ANOVA and ANCOVA - Conduct contrast, range and post hoc tests. Correlation - Test for bivariate or partial correlation, or for distances indicating similarity or dissimilarity between measures. Nonparametric tests - Chi-square, Binomial, Runs, one-sample, two independent samples, k-independent samples, two related samples, k-related samples. Explore - Confidence intervals for means; M-estimators; identification of outliers; plotting of findings. K-means Cluster Analysis - Used to identify relatively homogeneous groups of cases based on selected characteristics. Hierarchical Cluster Analysis - Used to identify relatively homogeneous groups of cases. TwoStep Cluster Analysis - Group observations into clusters based on nearness criterion, with either categorical or continuous level data.
Discriminant - Offers a choice of variable selection methods. Linear Regression - Choose from six methods. Nearest Neighbor analysis - Use for prediction (with a specified outcome) or for classification with no outcome specified.
Includes these statistical tests: Crosstabulations - Counts, percentages, residuals, marginals, tests of independence, test of linear association, measure of linear association, and much more. Frequencies - Counts, percentages, valid and cumulative percentages; central tendency, dispersion, distribution and percentile values. Descriptives - Central tendency, dispersion, distribution and Z scores. Descriptive ratio statistics - Coefficient of dispersion, coefficient of variation, price-related differential and average absolute deviance. Compare means - Choose whether to use harmonic or geometric means and much more. ANOVA and ANCOVA - Conduct contrast, range and post hoc tests. Correlation - Test for bivariate or partial correlation, or for distances indicating similarity or dissimilarity between measures. Nonparametric tests - Chi-square, Binomial, Runs, one-sample, two independent samples, k-independent samples, two related samples, k-related samples. Explore - Confidence intervals for means; M-estimators; identification of outliers; plotting of findings. K-means Cluster Analysis - Used to identify relatively homogeneous groups of cases based on selected characteristics. Hierarchical Cluster Analysis - Used to identify relatively homogeneous groups of cases. TwoStep Cluster Analysis - Group observations into clusters based on nearness criterion, with either categorical or continuous level data.
Discriminant - Offers a choice of variable selection methods. Linear Regression - Choose from six methods. Nearest Neighbor analysis - Use for prediction (with a specified outcome) or for classification with no outcome specified.
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- Return for refund within: 30 days
- Return for replacement within: 30 days
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