Skewness is when a distribution is asymmetrical or lacks symmetry. The skewed portion is the long, thin part of the curve. Many researchers use skewed distribution to mean that the data are sparse at one of the distribution and piled up on the other end. An example is like the grades on a particular test that a teacher gives. The grade distribution is skewed, meaning that few students scored at one end of the grading …showed first 75 words of 677 total…

…showed last 75 words of 677 total…about these or any other descriptive statistics because interpreting them depends heavily on the type and purpose of the test being analyzed. Nonetheless, I have tried to provide some basic guidelines here that I hope will serve you well in interpreting the skewness and kurtosis statistics when you encounter them in analyzing any data. But, please keep in mind that all statistics must be interpreted in terms of the types and purposes of your tests.