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Note: SPSS Student Version 15.0 cannot open data files containing more than 50 variables or 1,500 cases. The 15.0 release of this software is only available for Windows. SPSS add-on modules cannot be added to this package. Be advised that Version 15 of SPSS for Windows is presently not compatible with the new Vista operating system.SPSS Student Version is packed with easy-to-access online help to get you up and running quickly. The intuitive and extensive data management functionality in SPSS Student Version enables you to quickly prepare data for meaningful analysis.Various table formats and presentation-quality graphs include more than 50 types of statistical, business, and quality control charts. You can also easily incorporate SPSS Student Version tables and charts into word-processing documents and electronic presentations.Features include:Statistics
Mean, median, mode, and sum
Frequency counts and percents
Maximum, minimum, range, standard deviation, standard error and variance
Confidence intervals for mean
Crosstabulations
t-tests and analysis of variance (ANOVA) models
Bivariate, partial, and other correlations
Linear regression and curve estimation
Chi-square, binomial, and other nonparametric tests
Autocorrelation function (ACF), partial autocorrelation function (PCAF), cross-correlation function (CCF), transform, smoothing, exponential smoothing, and seasonal adjustments for time-series analysis
Factor
Discriminant, k-means cluster analysis, hierarchical cluster, proximities, reliability analysis, and ALSCAL multidimensional scaling
Receiver-operating characteristic (ROC) analysis
PLEASE NOTE: If you do not see the test that you wish to perform here in this listing, it may not be included. There are no returns on opened software that is not defective.Data And file management
Enter, edit and browse data in the Data Editor's spreadsheet formatSave up to 50 variables and 1,500 casesSort cases, transform data and manage missing valuesSelect random samples and systematic subsets of casesRead data from Excel®, Lotus® 1-2-3, ASCII, dBASE® and moreRead raw data from fixed, free-field or tab-delimited ASCII filesWrite date to fixed, free-field or tab-delimited ASCII filesOrganize, view and thumb through results Charts, Graphs, and Tables
Produce professional-looking graphs, whilie having control over creation functionality and chart appearance, using the presentation graphics system
Interact with dynamic report cubes for more in-depth analysis
Change a table into a graph with just a few mouse clicks
Select from a variety of graphs, including: histogram, hi-low-close, boxplot, scatterplot, scatterplot matrix, probability plots, range bar, and error bar
Work with the following type of quality-control charts: Pareto, X-Bar-R, X-Bar-s, p, np, c, and u
Create automatically labeled charts from statistic procedures or dataFinish Assignments Faster - SPSS makes it easy to access data wherever they may reside. For example, you can easily import data from a Microsoft Excel spreadsheet, or simply read ASCII data using the SPSS Text Wizard. The intuitive and extensive data management functionality in SPSS enables you to quickly prepare data for meaningful analysis.
Explore your Data Throughly - SPSS gives more insight and answers than spreadsheets can. Using SPSS graphs, such as boxplots, Pareto charts, and stem and leaf plots; factor analysis; and extensive tests of single or multivariate distributions, you can uncover knowledge that might otherwise be hidden in your data.
Organize and Present your Findings - SPSS enables you to create professional-looking results. Various table formats and presentation-quality graphs include more than 50 types of statistical, business, and quality control charts. You can also easily incorporate SPSS tables and charts into word-processing documents and electronic presentations.
Other features include:
Statistics: Mean, median, mode, and sum
Frequency counts and percents
Maximum, minimum, range, standard deviation, standard error and variance
Confidence intervals for mean
Crosstabulationst-tests and analysis of variance (ANOVA) models
Bivariate, partial, and other correlations
Linear regression and curve estimation
Chi-square, binomial, and other nonparametric tests
Autocorrelation function (ACF), partial autocorrelation function (PCAF), cross-correlation function (CCF), transform, smoothing, exponential smoothing, and seasonal adjustments for time-series analysis
FactorDiscriminant, k-means cluster analysis, hierarchical cluster, proximities, reliability analysis, and ALSCAL multidimensional scaling
Receiver-operating characteristic (ROC) analysis
Charts, Graphs, and TablesProduce professional-looking graphs, whilie having control over creation functionality and chart appearance, using the presentation graphics system
Interact with dynamic report cubes for more in-depth analysis
Change a table into a graph with just a few mouse clicks
Select from a ...
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