Normality Analysis Tool
Upload a CSV research dataset to examine the distribution of numerical variables using descriptive statistics, skewness, kurtosis, the Jarque–Bera test, histogram and Q–Q plot.
Upload Your CSV Dataset
Select a CSV file from your device. Your dataset is processed locally in your browser and is not uploaded to ResearchUtility.
Normality Analysis Results
Observations
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Mean
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Median
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Standard Deviation
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Minimum
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Maximum
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Skewness
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Excess Kurtosis
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Jarque–Bera Normality Test
JB Statistic: —
p-value: —
Interpretation:
A p-value greater than 0.05 means that the test does not provide sufficient evidence to reject the null hypothesis of normality.A p-value of 0.05 or less indicates evidence of departure from normality.Always consider the histogram, Q–Q plot, sample size, skewness and kurtosis together with the assumptions of the statistical analysis you plan to perform.
A p-value greater than 0.05 means that the test does not provide sufficient evidence to reject the null hypothesis of normality.A p-value of 0.05 or less indicates evidence of departure from normality.Always consider the histogram, Q–Q plot, sample size, skewness and kurtosis together with the assumptions of the statistical analysis you plan to perform.
Distribution Histogram
Normal Q–Q Plot
Analysis Summary
| Variable | N | Mean | Median | SD | Skewness | Kurtosis | JB p-value |
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