Skewness and Kurtosis
In statistics, Skewness and Kurtosis describe the shape of a distribution curve . They are very useful in educational research, psychological testing , and classroom assessment —areas closely related to your work in education and research. 1. Skewness Skewness measures the asymmetry of a probability distribution. It tells us if the data is shifted to one side. Meaning Skewness refers to the degree of asymmetry of a distribution around its mean . If the data are not evenly distributed on both sides of the mean, the distribution is said to be skewed . Properties of Skewness Measures asymmetry of the frequency distribution. In a perfectly symmetrical distribution , skewness = 0 . Indicates direction of deviation from normal distribution. Shows the relative position of Mean, Median and Mode . Helps identify extreme scores or outliers . Used to check normality of data before applying parametric statistics. Types of Skewness 1. Symmetrical Distribution Mean = Median =...