The world's leading statistical software for business, government, research, and academic organizations, providing advanced statistical analysis and forecasting tools
- Trusted Windows (PC) download IBM SPSS Amos 27.0.0. Virus-free and 100% clean download. Get IBM SPSS Amos alternative downloads.
- 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.
- 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.
What's new in IBM SPSS Statistics 27.0.1.0:
Download Description. IBM® SPSS® Statistics is the world’s leading statistical software used to solve business and research problems by means of ad-hoc analysis, hypothesis testing, and predictive analytics. Download IBM SPSS Statistics - The world's leading statistical software for business, government, research, and academic organizations, providing advanced statistical analysis and forecasting tools.
- Today we are proud to announce the general availability of SPSS Statistics 27.0.1.0. This modification release introduces new statistical tests, enhancements to existing procedures and functional enhancements that will improve everyday usability. Like a traditional Fix Pack, this modification release includes many quality improvements, but with the added benefit of those new additions.
- Statistical Procedures and Enhancements:
IBM SPSS Statistics is a reliable application with powerful features, a solid architecture, plus comprehensive menu and navigation commands.
General overview and usability
This data analyzer is a versatile instrument with a great and super-responsive GUI. It allows you to better understand your data, manage large datasets, solve extremely difficult research problems, and generate reports for understanding complex patterns.
The program is super large in size and comes packed with a lot of resources. You can start using it right away or browse the sample files (usually located in C:Program FilesIBMSPSSStatisticsSubscriptionSamples) to learn the tool's ins and outs. Moreover, you have available plenty of video tutorials and walk-through guides.
The main features and other functions
IBM SPSS Statistics has plenty of options for performing advanced data analysis, such as tools for statistical procedures (for great accuracy and quality data interpretation), options for integration with open-source software via Python or R, flexible deployment features, extension addition, and many others.
Among the tool's top sections, we can distinguish ten different ones. The first three — File, Edit, View, and Data — are for managing datasets, adding new ones, and configuring visualization options. The 'Transform' tab is for computing variables, recording samples, and, more generally, for adjusting your data parameters.
The powerful 'Analyze' option is for creating simulations and finding different data patterns. Also, the 'Graphs' and 'Utilities' features allow creating graphical data representations, respectively, generating XML models, running scripts, or accessing the OMS identifiers and control panel.
Last but not least, the 'Extension' and 'Window' features are for customizing the split-screen display, changing the syntax model, accessing the extension hub, or customizing the Extension Dialog Builder's default functions.
Final thoughts
All things considered, the tool presents itself as a really powerful program with a lot of options, suitable for personal use, academic purposes, business needs, and teamwork (that involves collaborating with team members while working on large data analysis projects, and sharing knowledge).
IBM SPSS Statistics also offers a convenient model. Basically, when purchasing the app you become an authenticated user; this means one can install the tool on multiple laptops and desktop devices (on Windows or macOS), log in, and get access to your preferences and data.
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IBM SPSS Statistics was reviewed by Alexandra Petrache- 30-day trial
SYSTEM REQUIREMENTS- Minimum 1.6 GHz CPU
- Minimum 4GB RAM
- Minimum 4GB storage
- Minimum 1024x768 display
IBM SPSS Statistics 27.0.1.0
add to watchlistsend us an update- runs on:
- Windows 10 64 bit
Windows 8 64 bit
Windows 7 64 bit - file size:
- 605 MB
- filename:
- SPSSStatisticsSub_Setup_x64.exe
- main category:
- Others
- developer:
- visit homepage
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Learn how SPSS Statistics users are accelerating time-to-value with analytics.
Learn how SPSS Statistics users are accelerating time-to-value with analytics. Get the report
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 Microsoft Windows and the Mac operating system.
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.
Find out what's new in SPSS Statistics 27.0.1.0.
Find out what's new in SPSS Statistics 27.0.1.0.Read the blog
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.
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
Explore advanced statistical procedures with SPSS Statistics
Advanced statistics
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.
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.
Which option is right for you?
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SPSS Statistics 27
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