Statistics & Time Series Features

Descriptive, inferential, correlation/regression, and time series analysis — all in one place

Quick Summary

DataStatPro provides a unified platform for descriptive, inferential, and time-series analysis. From basic t-tests and ANOVA to complex ARIMA models and logistic regression, it provides guided workflows and publication-ready outputs, ensuring accuracy and efficiency in your data analysis journey.

Tests: T-Test, ANOVA, Chi-Sq
Models: Linear & Logistic Reg
Time Series: ARIMA & Forecast
Output: APA-Style Reports

Video Overview

Explore the statistical toolkit and time series modules with a quick walkthrough.

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Descriptive Analysis

Describe numeric and categorical variables with central tendency and dispersion.

Computes mean, median, SD, IQR, min/max; supports grouped summaries and percentiles.

Example
Example: Summarize Age, BMI, and Gender counts with group separation by Treatment.
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Independent-Samples t-Test

Compare means between two independent groups.

Equality of variances check and both pooled and Welch variants available.

Example
Example: Treatment vs Control mean difference with 95% CI and p‑value.
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Linear Regression

Model numeric outcomes with predictors; report coefficients and fit.

Includes confidence intervals, p‑values, R²/adjusted R², and diagnostics.

Example
Example: Sales as a function of ad spend and seasonality.
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ARIMA Modeling

ARIMA/ARIMAX models with orders selection and residual diagnostics.

Guided ACF/PACF interpretation and differencing recommendations.

Example
Example: ARIMA(1,1,1) with seasonal component fits monthly demand.

Export-Ready Outputs

Export tables and charts to DOCX, PDF, or Markdown for reporting and collaboration.

DOCX PDF Markdown