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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. Latest on Alabama Crimson Tide quarterback Mac Jones including news, stats, videos, highlights and more on ESPN. General, commercial statistics software for Macintosh computers (Macs) Updated Sept. These packages all provide descriptive statistics; some have an astonishing array of statistical tools. Also see free and open-source Mac statistics software and the big.

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.
  • More quickly understand large and complex data sets 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.
  • More easily select and manage your software with flexible deployment options.

SPSS Statistics is available for Windows and Mac operating systems.

SPSS Statistics 27 is now available

SPSS Statistics 27 is now available 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.

Open source integration

Enhance SPSS syntax with R and Python using a library of extensions or by building your own.

Data security

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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 included in the new release to 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

G2 Crowd named SPSS Statistics a Leader in Statistical Analysis Software for Winter 2020.

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

Easily identify the right customers and improve campaign results.

Forecasting

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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

Better understand and measure purchasing decisions.

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?

SPSS Statistics Subscription

The easiest way to buy – set up and manage SPSS Statistics without licensing keys.

SPSS Statistics 27

A one-time purchase featuring flexible licensing options and support for SPSS Statistics

SPSS Statistics Campus Editions, GradPack and Faculty Packs

Predictive analytics software for students, teachers and researchers

Next Steps

Buy now to get started today

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Statistics

  • Mathematics portal

Statistical software are specialized computer programs for analysis in statistics and econometrics.

Open-source[edit]

Statistics For Machine Learning Book

gretl is an example of an open-source statistical package

Statistics For Machine Learning Pdf Free

  • ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management
  • ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation
  • Chronux – for neurobiological time series data
  • DAP – free replacement for SAS
  • Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) a software framework for developing data mining algorithms in Java
  • Fityk – nonlinear regression software (GUI and command line)
  • GNU Octave – programming language very similar to MATLAB with statistical features
  • gretl – gnu regression, econometrics and time-series library
  • intrinsic Noise Analyzer (iNA) – For analyzing intrinsic fluctuations in biochemical systems
  • JASP – A free software alternative to IBM SPSS Statistics with additional option for Bayesian methods
  • Just another Gibbs sampler (JAGS) – a program for analyzing Bayesian hierarchical models using Markov chain Monte Carlo developed by Martyn Plummer. It is similar to WinBUGS
  • JMulTi – For econometric analysis, specialised in univariate and multivariate time series analysis
  • KNIME - An open source analytics platform built with Java and Eclipse using modular data pipeline workflows
  • LIBSVM – C++ support vector machine libraries
  • mlpack – open-source library for machine learning, exploits C++ language features to provide maximum performance and flexibility while providing a simple and consistent application programming interface (API)
  • Mondrian – data analysis tool using interactive statistical graphics with a link to R
  • Neurophysiological Biomarker Toolbox – Matlab toolbox for. European Journal of Cardio-Thoracic Surgery. 54: 4–9. doi:10.1093/ejcts/ezy169. PMC6005113.
  • ^Wolfram Language Guide: Statistical Data Analysis

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External links[edit]

  • Statistics software at Curlie

Statistics For Machine Learning

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