What is the Normality Test Calculator?

The Normality Test Calculator is a tool that helps users determine whether a dataset follows a normal (Gaussian) distribution. By entering a series of numeric values, the calculator computes the mean, standard deviation, skewness, and kurtosis, and interprets these statistics to assess the shape of the data. This is useful for students, analysts, and researchers who need to check assumptions for statistical tests, visualize data distribution, or validate models.

How to Use:

1. Enter Values: Input your dataset as a comma-separated list of numbers (e.g., 10, 12, 15, 18, 20, 22, 25, 28, 30).
2. Click “Calculate”: The tool calculates the mean, standard deviation, skewness, and kurtosis of the data.
3. Review Result: The output shows your dataset, count, calculated statistics, and an interpretation indicating whether the data is approximately normal, moderately normal, or not normally distributed. This helps you quickly understand the distribution characteristics of your dataset.