This page provides instructions on how to install IBM SPSS Statistics on a computer running Mac OS X 10.10 (Yosemite), Mac OS X 10.11 (El Capitan), or Mac OS X 10.12 (Sierra). Installation Instructions Install the IBM SPSS Statistics file you downloaded from software.usc.edu/spss. Double-click the SPSS Statistics Installer icon on your desktop. 4.1 on 92 votes. SPSS Statistics® is leading statistical software used to solve a variety of business and research problems.
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Download IBM SPSS Statistics (formerly SPSS) for Mac - Statistical data modeller currently used within in government, academic and commercial organizations for analyzing and solving research and business problems. SPSS 26 Mac Free Download Crack For Analyzing Statistics It is a statistical analysis program that is ideal for analyzing and manipulating large amounts of. IBM SPSS Statistics Grad Pack 28.0 BASE DOWNLOAD- Win/Mac - 6 month - good for 2 computers $ 2,000.00 $ 34.95 IBM SPSS Statistics Grad Pack 28.0 STANDARD- 6 month-Windows or Mac DOWNLOAD- install on up to 2 computers.
Use IBM SPSS Statistics to solve business and research problems by means of ad hoc analysis, hypothesis testing, geospatial analysis, and predictive analytics. 6 or 12 month rental licenses available to verified students and faculty. Available for Windows and Mac. Save up to 90% on: IBM ® SPSS ® Statistics 27 GradPack; IBM ® SPSS. SPSS Statistics is a software package used for interactive, or batched, statistical analysis.Long produced by SPSS Inc., it was acquired by IBM in 2009. Current versions (post 2015) have the brand name: IBM SPSS Statistics.
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Why IBM SPSS Statistics?
IBM® SPSS® Statistics is a powerful statistical software platform. It delivers a robust set of features that lets your organization extract actionable insights from its data.
With SPSS Statistics you can:
- Analyze and better understand your data, and solve complex business and research problems through a user friendly interface.
- Understand large and complex data sets quickly with advanced statistical procedures that help ensure high accuracy and quality decision making.
- Use extensions, Python and R programming language code to integrate with open source software.
- Select and manage your software easily, with flexible deployment options.
SPSS Statistics is available for Windows and Mac operating systems.
See what's new in SPSS Statistics 27.0.1.0
See what's new in SPSS Statistics 27.0.1.0 Read the blog post
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A powerful statistical analysis software platform
Easy to use
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Perform powerful analysis and easily build visualizations and reports through a point-and-click interface, and without any coding experience.
Efficient data conditioning
Reduce data preparation time by identifying invalid values, viewing patterns of missing data and summarizing variable distributions.
Quick and reliable
Analyze large data sets and prepare data in a single step with automated data preparation.
Comprehensive
Run advanced and descriptive statistics, regression and more with an integrated interface. Plus, you can automate common tasks through syntax.
Open source integration
Enhance SPSS syntax with R and Python using a library of extensions or by building your own.
Data security
Store files and data on your computer rather than in the cloud with SPSS that’s installed locally.
Take a closer look at IBM SPSS Statistics
SPSS Statistics 27: New release
Learn about new statistical algorithms, productivity and feature enhancements in the new release that boost your analysis.
IBM SPSS Statistics tutorial
Get hands-on experience with SPSS Statistics by analyzing a simple set of employee data and running a variety of statistical tests.
A leader in statistical analysis software
Learn why G2 Crowd named SPSS Statistics a Leader in Statistical Analysis Software for Winter 2020.
Explore advanced statistical procedures with SPSS Statistics
Advanced statistics
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Use univariate and multivariate modeling for more accurate conclusions in analyzing complex relationships.
Custom tables
Regression
Predict categorical outcomes and apply nonlinear regression procedures.
Decision trees
Use classification and decision trees to help identify groups and relationships and predict outcomes.
Direct marketing
Identify the right customers easily and improve campaign results.
Forecasting
Build time-series forecasts regardless of your skill level.
Neural networks
Discover complex relationships and improve predictive models.
Categories
Predict outcomes and reveal relationships using categorical data.
Complex samples
Analyze statistical data and interpret survey results from complex samples.
Conjoint
Understand and measure purchasing decisions better.
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Exact tests
Reach more accurate conclusions with small samples or rare occurrences.
Missing values
Uncover missing data patterns, estimate summary statistics and impute missing values.