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ATTENTION: MacOS 'Catalina' users: There is a bug in the latest release of MacOS related to file access permissions that also affects SPSS. It has nothing to do with PROCESS or its operation on the Mac or SPSS. Consult your local tech support person for advice. Download the official µTorrent® (uTorrent) torrent client for Windows, Mac, Android or Linux- uTorrent is the #1 bittorrent download client on desktops worldwide. 8/10 (85 votes) - Download IBM SPSS Statistics Mac Free. Download IBM SPSS Statistics, a software application that makes it possible to compile statistical data, analyze it and elaborate predictions and trends. IBM SPSS Statistics is a pack of tools for statistical analysis ready to guide the. For Mac Operating system Mac OS Catalina 10.15, Mac OS Mojave 10.14, OS High Sierra 10.13, Mac OS Sierra 10.12, Mac OSX El Capitan 10.11, Mac OS X Yosemite 10.10 Note: Java JRE (6 or 7) must already be installed before you can run the SPSS Statistics 24 Mac silent installer. Processor 2 GHz or faster Display 1024.768 or higher screen resolution.
- Click on the icon above
- Once the download is complete, double click it
- A box will pop up that has an icon labeled SPSS_Statistics_Installer, double click that installer
- Verify that you want to open the application by clicking “Open”
- Type in your laptop account password, and click “Install Helper”
- An IBM SPSS Statics pane will appear, click “Ok”
- Introduction: Click “Next”
- Accept the software license agreement
- Check “No” for python and click “Next”
- Click “Next” to install software in the default location
- Click“Install”
- When install is complete click “Done”
- The SPSS Licensing Wizard will open
- Click“Ok”
- Click“Next”
- Choose “Authorize user license”
- Click“Next”
- Enter the License key found below
- Click “Next” and should should say “Authorization succeeded”
- Click“Next”,then“Finish”
- SPSS is now active and available in the IBM application folder
- Click on the icon above
- Once download is complete, double click
- A window will open, scroll until you see “IBM SPSS Statistics 27 – Windows Installer
- Package”
- Double click on “SPSS_Statistics_27_win64”
- Introduction page: click “Next”
- Accept software license agreement
- Check “No” for python and click “Next”
- Click “Next” to install software in the default location
- Click“Install”
- When install is complete click “Done”
- The SPSS Licensing Wizard will open
- Click“Ok”
- Click“Next”
- Choose “Authorize user license”
- Click“Next”
- Enter the License key found below
- Click “Next” and should should say “Authorization succeeded”
- Click“Next”, then“Finish”
- SPSS is now active and available in the IBM application folder
License Key for SPSS 27
f225d4d609d0a4a18abe
NOTE: If you do not activate SPSS with a license key, you will not be able to use it!
Expires July 31, 2021.
Get SPSS 25 for Mac
Same Instructions as above.
Get SPSS 25 for Windows
Same Instructions as above.
License Key for SPSS 25
df5a122c49d294289e6f
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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
A powerful statistical analysis software platform
Easy to use
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.
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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.
Lg 3d video demo download. 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
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Use univariate and multivariate modeling for more accurate conclusions in analyzing complex relationships.
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Predict categorical outcomes and apply nonlinear regression procedures.
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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.
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Forecasting
Build time-series forecasts regardless of your skill level.
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Discover complex relationships and improve predictive models.
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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.
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.