IBM SPSS Statistics Grad Pack Standard V25.0 6 Month License for 2 Computers
|
|
상품가격 상세보기
이벤트보기
|
- 상품상세정보
상품특징
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 RegressionBe 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
상품설명
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).
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 RegressionBe 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
상품설명
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).
2020-02-02 02:42:56
