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SPSS Statistics Grad Pack Standard V25.0 6 Month License for 2 Computers

SPSS Statistics Grad Pack Standard V25.0 6 Month License for 2 Computers

Regular price $126.07 USD
Regular price $0.00 USD Sale price $126.07 USD
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  • 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. New in version 25: Analyze your data with new and advanced statistics.
  • Includes full version of Base as well as two add-ons: Advanced Statistics and Regression
  • Be sure you have all the add-ons needed for your course or dissertation! The Standard version includes just 2 add-ons and you may not purchase additional add-ons separately or at a later time. Consider the Grad Pack Premium which includes all of the SPSS add ons

THIS PRODUCT IS FOR SALE TO CURRENT COLLEGE STUDENTS AND TEACHERS ONLY. Includes two add-ons in addition to the full version of SPSS Base: Advanced Statistics and Regression. 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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