Compare means between two groups. Get p-value, effect size, and CI. Free.
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Running independent samples t-test analysis...
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Analyze another fileCompares the average of a numeric measurement between exactly two groups. Reports the p-value, confidence interval, and Cohen's d effect size.
Use this when comparing means between 2 groups (e.g., treatment vs control, male vs female).
If you have 3+ groups, use ANOVA. If data is non-normal, use Mann-Whitney.
Built for: Researcher, analyst, student, product manager
Typical data source: Numeric measurements with a binary group label
Two-group comparison data
Minimum 10 rows · Best with 30-1000 observations
Performs an independent samples t-test (Welch's variant) to compare means of two groups. Includes Cohen's d effect size, normality diagnostics (Shapiro-Wilk), variance equality test, and visualizations of distributions, box plots, and effect size.
Overlaid distributions for each group
Side-by-side box plots with individual data points
Shapiro-Wilk test per group and QQ-plot assessment
Cohen's d with confidence interval
t-statistic, degrees of freedom, p-value, and confidence interval
Descriptive statistics by group
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Need something simpler? Correlation — Want correlations, not group comparisons
Need more power? Anova — 3+ groups
Similar: Mann Whitney
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
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