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Descriptive Statistics
Descriptive Statistics
Summarize sample size, central tendency, variability and distribution shape.
Calculation engine
Client-side JavaScript; no external statistics package is loaded.
Results are calculated in the browser and are not uploaded.
Client-side JavaScript; no external statistics package is loaded.
Results are calculated in the browser and are not uploaded.
Method overview
When to use
Use before formal testing to understand data range, center, spread, outliers and distribution shape.
Input requirements
Enter one numeric vector. Values can be separated by commas, spaces, tabs, or new lines.
Key assumptions
- Values should be numeric measurements.
- Check units and missing values before pasting data.
- Descriptive statistics do not test a research hypothesis by themselves.
Null hypothesis
No null hypothesis is used for descriptive statistics.
Method used
Mean, SD, SE, median, quartiles, min/max, skewness and excess kurtosis.
References
- Bland M. An Introduction to Medical Statistics. Oxford University Press.
Data input and results
Paste a numeric vector to obtain common descriptive statistics.
No calculation has been performed.