

Tests to Predict Numerical Outcomes and Identify Groups:

Nonparametric tests – Chi-square, Binomial, Runs, one-sample, two independent samples, k-independent samples, two related samples, k-related samples.Correlation – Test for bivariate or partial correlation, or for distances indicating similarity or dissimilarity between measures.ANOVA and ANCOVA – Conduct contrast, range and post hoc tests analyze fixed-effects and random-effects measures group descriptive statistics choose your model based on four types of the sum-of-squares procedure perform lack-of-fit tests choose balanced or unbalanced design and analyze covariance with up to 10 methods.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.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.Click here for more details on the new features listed here.You can also use Java to control, react to and embed program logic into your SPSS Statistics jobs. Program using a Java plug-in – Call SPSS Statistics functionality from a Java application and have SPSS Statistics output appear in the Java application.Read custom data with or without filters and import pre-defined IBM Cognos reports. Import IBM Cognos Business Intelligence data – Easily import IBM Cognos Business Intelligence data into SPSS Statistics to enhance your analysis.Monte Carlo simulation – Use Monte Carlo simulation techniques to build better models and assess risk when inputs are uncertain.

Obtain more accurate results faster, and increase productivity and effectiveness.Improve model accuracy with enhanced Monte Carlo simulation, which includes new features such as heat maps, automatic linear modeling and simulating strings.Please note that the SPSS program requires a desktop or laptop for running of the program itself. Deploy SPSS Statistics output on multiple smart devices (mobile phones and tablets) simultaneously.
