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new | SPSS IBM Statistics Grad Pack Base V28.0 6 Month License for 2 Computers Windows or Mac
Brand : SPSS
new | SPSS IBM Statistics Grad Pack Base V28.0 6 Month License for 2 Computers Windows or Mac
Brand : SPSS
Product Specifications
Conditionnew
AsinB099BWQK1Z
CategoryElectronics
SubcategorySwitches
LeafcategoryTOYS_AND_GAMES
MPNDOFSPLL9
OriginUSA
BrandnameSPSS
Height0.5
Length3
Width0.5
Weight1
Product Details
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.
Product Ranking
#4279 in Computer Networking Switches
Product Description
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.
Product Description
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.