Of the two statistics, the mean and the median, the median is a better reflection of the center of the foraging height.
Because it is unaffected by exceptionally big numbers, the median performs better than the mean when analyzing data from skewed distributions. When dealing with nominal or categorical data that cannot be arranged, the mode is the sole metric you may use.
The mean, median, and mode are equivalent when continuous data has a symmetrical distribution. Analysts frequently use the mean in this situation since it incorporates all of the data into the computations. The median, on the other hand, is frequently the best indicator of central tendency when your distribution is skewed.
The median provides a more specific value as a response, making it the most accurate method of determining a group of values' central trends.
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