Sep 20, 2023 · This tutorial explains how to interpret data where the mean is less than the median, including an example.

Nov 17, 2025 · In summary, when interpreting data, the relationship where the mean is less than the median is the defining characteristic of a left-skewed, or negatively skewed, distribution.

Jul 7, 2022 · To summarize, generally if the distribution of data is skewed to the left, the mean is less than the median, which is often less than the mode. If the distribution of data is skewed to …

Sep 21, 2023 · Notice that the mean is less than the median, and they are both less than the mode. The mean and the median both reflect the skewing, but the mean reflects it more so.

In a skewed distribution, extreme values in the longer tail pull the mean away from the center more than the median. Hence, a right-skewed distribution has a mean greater than the …

Sep 24, 2015 · The mean would be less than the median if the distribution is negatively skewed. In other words, the mean is less than the median when the distribution of scores is not …

A particularly interesting scenario arises when the mean is less than the median, a condition that indicates a specific type of data skewness. This essay explores the implications of this …

Notice that the mean is less than the median, and they are both less than the mode. The mean and the median both reflect the skewing, but the mean reflects it more so.

What does it imply if the median is different from the mean? If the median is different from the mean, it suggests that the data set is skewed. If the mean is greater than the median, the data …

Jul 23, 2025 · Mean and median are measures of central tendencies but their behaviour under varying condition such as skewness and presence of outliers leads to significantly different …