THE DATASTATPRO TOOL DIRECTORY

Statistical Analysis Tools and Calculators

Your research question. The right analysis. Explore tools for t-tests, ANOVA, regression, sample size, and more, all in your browser.

131tools to explore
14analysis categories
Browser basedno installation needed

EXPLORE BY METHOD

Find your statistical tool

Search a method, calculator, or research task. Every tool links directly to its workspace.

131 tools · 14 categories

Data Management 10 tools

Import, clean, transform, and organize datasets before analysis.

Guide

Descriptive Statistics 5 tools

Summarize distributions, frequencies, central tendency, and variability.

Guide

Inferential Statistics 13 tools

Compare groups with t-tests, ANOVA, chi-square, and non-parametric tests.

Guide

Correlation Analysis 4 tools

Measure associations and fit linear, logistic, and other regression models.

Guide

Advanced Analysis 22 tools

Explore factor analysis, SEM, multilevel models, survival, and meta-analysis.

Guide

Time Series Analysis 8 tools

Analyze trends, seasonality, stationarity, ARIMA models, and forecasts.

Guide

Sample Size Calculator 5 tools

Estimate sample size for supported study designs and research questions.

Guide

CI Calculator 12 tools

Calculate confidence intervals for means, proportions, differences, and more.

Guide

Epi Calculator 11 tools

Explore risks, odds ratios, diagnostic accuracy, and epidemiological measures.

Guide

Data Visualization 11 tools

Explore distributions and relationships with charts and statistical plots.

Guide

Publication Ready 27 tools

Prepare research tables, effect sizes, figures, methods, and results.

Guide

Surveys 1 tool

Create surveys, collect responses, and connect them to your datasets.

Guide

KPI Dashboard 1 tool

Build interactive dashboards for operational and research reporting.

Guide

AI Tools 1 tool

Explore AI-assisted statistical planning and research reporting workflows.

Guide

AN ONLINE STATISTICS WORKSPACE

What can you do with DataStatPro?

DataStatPro is a browser-based statistical analysis suite with 131 tools across 14 categories. Summarize data, compare groups, explore relationships, model outcomes, plan sample sizes, estimate confidence intervals, and prepare research reports. Start with free Guest Access using sample datasets; access to personal data and advanced features depends on your plan.

START WITH YOUR QUESTION

Which statistical analysis should I use?

These starting points help you explore tools. The study design and assumptions determine the final method.

Read the selection guide →
Statistical methods by research task
Your research taskMethods to exploreWhat to consider
Summarize a datasetDescriptive statisticsUse summaries and plots to inspect distributions, missing values, and unusual observations.
Compare two meansIndependent or paired t-testIndependent groups and paired measurements require different analyses; check design and assumptions.
Compare three or more meansANOVA or a rank-based testConsider group independence, repeated measurements, variance assumptions, and planned comparisons.
Explore categorical associationsChi-square testAnalyze observed counts in a contingency table; inspect expected counts and independence.
Measure a relationshipPearson or Spearman correlationChoose based on the measurement scale, relationship shape, outliers, and the research question.
Model an outcomeLinear or logistic regressionThe outcome type and study design guide model choice; inspect diagnostics and covariates.
Plan study sizeSample size and power calculatorsSpecify the study design, effect or precision target, significance level, and power as appropriate.
Analyze time to an eventKaplan-Meier or Cox regressionUse survival methods when follow-up time and censoring are part of the data.

BUILT AROUND YOUR WORK

Tools for research, study planning, and reporting

01

Statistical analysis for research papers

Use descriptive summaries, assumption checks, t-tests, ANOVA, regression, effect sizes, confidence intervals, and publication-ready tables to move from raw data to manuscript-ready results.

Explore tools →
02

Sample size, power, and epidemiology

Plan studies with sample size calculators, power analysis, diagnostic test calculators, cohort and case-control calculators, odds ratios, relative risks, and survival analysis tools.

Explore tools →
03

Dashboards and reporting

Build KPI dashboards, charts, baseline tables, regression tables, APA-style outputs, reports, and shareable summaries for research, healthcare, education, and business analytics.

Explore tools →
04

Advanced statistical modeling

Run EFA, CFA, SEM, MANOVA, MANCOVA, GLM, mediation, moderation, meta-analysis, multilevel modeling, PLS regression, and time-series workflows from a browser.

Explore tools →

A GUIDED WORKFLOW

How to run a statistical analysis online

  1. 01

    Choose your analysis

    Search this directory or browse by category. Match the method to the research question, study design, and assumptions.

  2. 02

    Import or enter your data

    Use sample data, upload a supported file, or enter values directly where the tool allows. Personal-data access depends on your plan.

  3. 03

    Configure variables and options

    Select outcomes, predictors, groups, confidence levels, and analysis settings as required by the tool.

  4. 04

    Review and export results

    Check diagnostics and interpret estimates with uncertainty. Copy or export supported tables, figures, and reports.

COMMON QUESTIONS

Statistical analysis, explained

Find answers about methods, calculators, research output, and access.

Visit the knowledge base →
What statistical analysis tools are available in DataStatPro?

DataStatPro includes 131 tools across 14 categories: descriptive statistics, t-tests, ANOVA, chi-square tests, non-parametric tests, correlation, regression, time series, advanced modeling, sample size, epidemiology, confidence intervals, visualization, surveys, dashboards, AI-assisted planning, and publication-ready reporting.

Which test should I use for my data?

Choose a statistical method from the research question and target estimand first, then consider the outcome type, number and relationship of observations or groups, covariates, clustering or repeated measurements, censoring, missing data, and method-specific assumptions. Variable type and normality alone are insufficient to determine the appropriate analysis.

Where can I run a t-test or ANOVA online?

The Inferential Statistics category includes one-sample, independent-samples, and paired-samples t-tests, one-way ANOVA, two-way ANOVA, repeated-measures ANOVA, and ANCOVA. Choose a tool that matches the study design and check its assumptions before interpreting results.

What is the difference between correlation and regression?

Correlation measures association between variables. Regression models an outcome in relation to one or more predictors. Neither method establishes causation by itself. DataStatPro lists correlation tools and regression models in the Correlation Analysis category.

Can I calculate sample size and confidence intervals online?

Yes. The Sample Size Calculator category contains study-design-specific planning tools, while CI Calculator contains confidence interval tools. Sample size planning and interval estimation answer different questions; select the calculator that matches your design and measure.

Does DataStatPro support advanced statistical analysis?

The Advanced Analysis category includes tools for factor analysis, structural equation modeling, MANOVA/MANCOVA, multilevel modeling, survival analysis, meta-analysis, and other specialized workflows. Availability for personal datasets depends on the selected plan.

Does DataStatPro create publication-ready output?

The Publication Ready category includes research tables, regression tables, effect size tools, APA formatting, figure processing, methods text, and results export tools. Publication features for personal research require Pro or Edu Pro.

What can I use for free in DataStatPro?

Free Guest Access lets anyone explore the interface with built-in sample datasets. Free Educational Access with a valid .edu email supports sample and personal datasets within Educational plan limits. Standard has a 15-day free trial with no credit card required. Advanced analysis, AI, dashboards, surveys, storage, and publication features depend on your plan.

Can I use DataStatPro instead of SPSS, Stata, SAS, or GraphPad Prism?

DataStatPro supports selected browser-based statistical workflows. Compare the required methods, diagnostics, data formats, and reporting outputs before switching. Product-specific syntax, specialized procedures, and institutional requirements may still call for other software.

KEEP LEARNING

Free access and plans

Free Guest Access lets everyone teach and learn with built-in sample datasets. Free Educational Access with a valid .edu email includes sample datasets and your own datasets within Educational plan limits. Standard includes a 15-day free trial with no credit card required, then costs USD 39 per year. Pro provides full feature access for USD 89 per year; Edu Pro provides the same features for USD 49 per year with a valid .edu email, saving USD 40 per year (approximately 45%). View free access and trial details.

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