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  2. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    SOCR – online tools for teaching statistics and probability theory; Speakeasy (computational environment) – numerical computational environment and programming language with many statistical and econometric analysis features; SPSS Modeler – comprehensive data mining and text analytics workbench; SPSS Statistics – comprehensive ...

  3. Comparison of statistical packages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_statistical...

    Descriptive statistics Nonparametric statistics Quality control Survival analysis Data processing Base stat. [Note 2] Normality tests [Note 3] CTA [Note 4] Nonparametric comparison, ANOVA: Cluster analysis Discriminant analysis BDP [Note 5] Ext. [Note 6]

  4. List of statistical tools used in project management - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_tools...

    Beta distribution is a combination of probability theory and statistics, most commonly used in project management for time allocation and to analyse random variables. Critical path drag is a project management metric used to schedule analysis and compression in the critical path method of scheduling.

  5. SAS (software) - Wikipedia

    en.wikipedia.org/wiki/SAS_(software)

    SAS (previously "Statistical Analysis System") [1] is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, [2] and predictive analytics. SAS' analytical software is built upon artificial intelligence and utilizes machine learning ...

  6. SPSS - Wikipedia

    en.wikipedia.org/wiki/SPSS

    SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc. , it was acquired by IBM in 2009.

  7. Statistical graphics - Wikipedia

    en.wikipedia.org/wiki/Statistical_graphics

    Graphical statistical methods have four objectives: [2] The exploration of the content of a data set; The use to find structure in data; Checking assumptions in statistical models; Communicate the results of an analysis. If one is not using statistical graphics, then one is forfeiting insight into one or more aspects of the underlying structure ...

  8. List of analyses of categorical data - Wikipedia

    en.wikipedia.org/wiki/List_of_analyses_of...

    This is a list of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables. General tests [ edit ]

  9. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Exploratory data analysis, robust statistics, nonparametric statistics, and the development of statistical programming languages facilitated statisticians' work on scientific and engineering problems. Such problems included the fabrication of semiconductors and the understanding of communications networks, which concerned Bell Labs.

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