Normal distribution

Combinatorics

Physics

Skewness

Normal-inverse Gaussian distribution

Mathematics

Gaussian function

Normality test

Statistical hypothesis testing

Statistics

Gaussian

Kurtosis

Econometrics

Comparability

Normality

Skew normal distribution

Quantum mechanics

Gaussian random field

BAU Journal - Science and Technology

The normal distribution (bell curve or Gaussian distribution) is a distribution that happens commonly in many circumstances. Real-life data rarely, if ever, follow a perfect normal distribution. Many tests are useful to test normality and more particularly skewness and kurtosis tests assess the comparability of a given distribution from a normal distribution. These tests are widely used in statistics, business, and epidemiological data including blood pressure, heights, IQ scores and measurement errors. This report provides a review assessing the essential methods employed for testing normality and highlighting the importance of skewness and Kurtosis in statistics. Moreover, it gives some examples of the importance of normality in epidemiological health studies analysis.

NORMALITY TESTING METHODS AND THE IMPORTANCE OF SKEWNESS AND KURTOSIS IN STATISTICAL ANALYSIS