 Since now we have understood how to calculate the measures of central location Now, let's go a little bit further and look at the distributions using the measures of central location You know that the distribution if we have all those measures of central location They tell us how our data is distributed Now, if your data can take any shape it can be symmetric which is normally distributed or it can be skewed which is Either left skewed or the data has shifted to the right or to the left hesitate to the right or to the left When it's left skewed it means The me is less than the median All the tail is to the left and we call that distribution and left skewed distribution If it's symmetric it means the mean and the median are Equal it means they are all at the center for a right skewed It means the tail is to the right and The median is less than the mean. Thank you