IBM SPSS Statistics

v28.0.1

By IBM Corporation
Date Added: 4-Feb-2023
(TRIAL APPLICATION)

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File Size: 860 MB

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IBM SPSS Statistics is a Powerful Statistical Software Platform.



IBM SPSS Statistics is a highly acclaimed statistical software solution that empowers users to dissect and comprehend intricate datasets. This versatile tool finds extensive utility in academia, government bodies, and the corporate sector for conducting statistical analyses and data mining operations. IBM SPSS Statistics stands as a robust instrument aiding in informed decision-making by offering insights from extensive and multifaceted data sets.

The origins of IBM SPSS Statistics trace back to its development by SPSS Inc. in 1968. Subsequently, IBM acquired SPSS Inc. in 2009, rebranding the software under the IBM umbrella. It boasts compatibility with both Windows and Mac operating systems and supports various data file formats, including Excel, SAS, and Stata. Its user-friendly interface facilitates the creation, analysis, and reporting of statistical findings.

IBM SPSS Statistics furnishes a diverse array of statistical tools to facilitate data exploration and interpretation. These encompass descriptive statistics, hypothesis testing, regression analysis, cluster analysis, and factor analysis. Descriptive statistics deliver summary statistics such as mean, median, mode, standard deviation, and variance. Hypothesis testing empowers users to assess the statistical significance of discrepancies among groups or variables. Regression analysis enables the examination of relationships between variables, enabling predictions. Cluster analysis uncovers data patterns, while factor analysis identifies underlying factors shaping data variance.

Notably, IBM SPSS Statistics excels in handling extensive and intricate datasets. It capably manages datasets with millions of cases and thousands of variables while addressing missing data through various imputation methods like mean imputation, regression imputation, and multiple imputation.

The software is also equipped with an arsenal of data visualization tools to convey findings effectively. These encompass scatter plots, histograms, bar charts, and box plots, enabling users to unearth data patterns and relationships and communicate results cogently.

Further strengthening its utility, IBM SPSS Statistics seamlessly integrates with other software packages. This includes interoperability with Microsoft Excel for easy data import and export. It also collaborates effectively with alternative statistical software like SAS and R, augmenting its statistical toolkit.

IBM SPSS Statistics boasts extensive application across diverse industries and research domains. It is a staple in academic research fields such as psychology, social sciences, and education. Government agencies leverage its capabilities for policy analysis and program evaluation. Businesses rely on it for market research, customer analytics, and quality control.

In summation, IBM SPSS Statistics stands as a potent and widely embraced statistical software solution, empowering users to dissect and understand complex data. The software's rich arsenal of statistical and data visualization tools equips users to make informed decisions based on data-driven insights. While it can be costly and somewhat rigid in data manipulation, its contribution to researchers, enterprises, and government agencies seeking precise and dependable data analysis remains invaluable.


Images of IBM SPSS Statistics

Discriminant scores scatter

Classify groups based on measured characteristics.

IBM SPSS Statistics

Bayesian procedures

Estimate Bayes factors and posterior distributions for parameters.

IBM SPSS Statistics

Multilayer perceptron (MLP) network

Predict or classify outcomes using neural network models.

IBM SPSS Statistics

Estimated marginal means

Compare group means using a general linear model approach.

IBM SPSS Statistics

System Requirements:

Windows 7 / Windows 8 / Windows 10 / Windows 11
(For 64-bit)


Date Added:

4-Feb-2023


License:

Trial


Developer By:

IBM Corporation
https://www.ibm.com/us-en/

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