Upload a CSV or Excel file, select a numeric column, and get a full Minitab-style analysis: descriptive statistics, normality test (Anderson-Darling), histogram, box plot, Q-Q plot — with specific guidance if your data is non-normal.
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Drop your file here or click to browse
No data leaves your browser — all analysis runs locally
.CSV.XLSX.XLS.TXT (tab/comma)
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Select column to analyse
Anderson-Darling A²
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P-value
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n
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Histogram + Normal curve
Bars = frequency, curve = fitted normal distribution
Box Plot
Median, IQR, whiskers (1.5×IQR), and outliers
Normal Q-Q Plot
Points on the reference line = normal distribution
⚠ Data is Non-Normal — Here's What To Do
Your data did not pass the Anderson-Darling normality test. This affects which statistical tests and capability indices are valid. Follow the steps below.
✅ Data is Normal — Proceed with Standard Methods
Your data passed the Anderson-Darling normality test (p ≥ 0.05). You can confidently use the following standard statistical tools: