Compare means – Choose whether to use harmonic or geometric means test linearity compare via independent sample statistics, paired sample statistics or one-sample t test.Descriptive ratio statistics – Coefficient of dispersion, coefficient of variation, price-related differential and average absolute deviance.Descriptives – Central tendency, dispersion, distribution and Z scores.
![ibm spss statistics version 23 ibm spss statistics version 23](https://4.bp.blogspot.com/-WCXfeDlHDvk/WSuruR6aMRI/AAAAAAAAAgA/m-VqQm-deRkV-AKGcg2mmwmVkE2AhagCwCLcB/s1600/IBM%2BSPSS%2BStatistics%2B24%2BDOWNLOAD.png)
Frequencies – Counts, percentages, valid and cumulative percentages central tendency, dispersion, distribution and percentile values.Crosstabulations – Counts, percentages, residuals, marginals, tests of independence, test of linear association, measure of linear association, ordinal data measures, nominal by interval measures, measure of agreement, relative risk estimates for case control and cohort studies.A wider range of R programming options enables developers to use a full-featured, integrated R development environment within SPSS Statistics.Enterprise users can access SPSS Statistics using their identification badges and badge readers.Stata 13 users can import, read and write Stata 9-13 files within SPSS Statistics.Enhanced categorical principal component analysis (CATPCA) capabilities.Completely redesigned web reports offer more interactivity, functionality and web server support.Embed analytics into the enterprise to speed deployment and return on investment.
![ibm spss statistics version 23 ibm spss statistics version 23](https://i1.wp.com/i-loadzone.com/wp-content/uploads/2018/08/2017-04-19_13-24-15.png)
![ibm spss statistics version 23 ibm spss statistics version 23](https://4.bp.blogspot.com/-yWbU1Ueufr8/VpoeX4GMQZI/AAAAAAAABvA/S84b67mUMwY/s640/Screenshot_spss.png)
#IBM SPSS STATISTICS VERSION 23 SERIES#
Use the Temporal Causal Modeling (TCM) technique to uncover hidden causal relationships among large numbers of time series and automatically determine the best predictors.Gain deeper predictive insights from large and complex datasets.