Understanding Skewness And Kurtosis. So the greater the value more the peakedness. Kurtosis quantifies the distributions tailedness and conveys the corresponding phenomenons tendency to produce values that are far from the mean.
Learn about what makes a curve normal or abnormal. Kurtosis quantifies the distributions tailedness and conveys the corresponding phenomenons tendency to produce values that are far from the mean. A distribution or data set is symmetric if it looks the same to the left and right of the center point.
Skewness tells you the amount and direction of skewdeparture from horizontal symmetry and kurtosis tells you how tall and sharp the central peak is relative to a standard bell curve.
Skewness is used along with kurtosis to better judge the likelihood of events. Under Assumption 13 KEN 77 provide the distribution of the sample estimators ŝ. A symmetric distribution such as a normal distribution has a skewness of 0 and a distribution that is skewed to the left eg. Islamic University of Science and Technology In SPSS the skewness and kurtosis statistic values should be less than.
