iStatistica

IStatistica

iStatistica is a data analysis and statistical software that allows users to visualize, analyze, present and publish statistical data. It has an easy to use interface and offers features like descriptive statistics, hypothesis testing, regression analysis and time series analysis
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iStatistica: Data Analysis and Statistical Softwares

A powerful tool for data visualization, analysis, presentation, and publication of statistical data with an easy-to-use interface offering features like descriptive statistics, hypothesis testing, regression analysis, and time series analysis.

What is IStatistica?

iStatistica is a versatile and user-friendly statistical analysis software designed to perform a wide range of statistical tests and data analysis. Some key features of iStatistica include:

  • Intuitive drag-and-drop interface for easily importing, managing and analyzing data
  • Comprehensive set of descriptive statistics such as measures of central tendency, dispersion, distribution and more
  • Inferential statistics for hypothesis testing, correlation analysis, regression modeling, ANOVA analysis and more
  • Time series analysis and forecasting tools like exponential smoothing and ARIMA models
  • Powerful charting and graphing capabilities to visualize data and analysis results
  • Options to publish and share analysis results in Word, Excel, HTML and other formats

iStatistica simplifies statistical data analysis with its clean and modern interface. Even novices can quickly learn to apply essential statistical techniques for data-driven insights. More advanced users can take advantage of the extensive analysis tools of iStatistica to build predictive models, identify trends and quantify relationships within their data.

IStatistica Features

Features

  1. Descriptive statistics
  2. Hypothesis testing
  3. Regression analysis
  4. Time series analysis
  5. Data visualization
  6. Data analysis
  7. Data presentation
  8. Data publishing

Pricing

  • One-time Purchase
  • Subscription-Based

Pros

User friendly interface

Wide range of statistical analyses

Data visualization capabilities

Can publish results directly from software

Cons

Limited to Windows platform

Steep learning curve for advanced features

No open source or free version available


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