One of the most frustrating aspects of car audio is noise in the system. Unlike home audio systems, car audio systems have many sources of noise to deal with. Here's a few of the most common noises found in car stereo and how to fix or avoid them.
While the mean of a set of values minimizes the sum of squares of deviations and the median minimizes the average absolute deviation, the midrange minimizes the maximum deviation (defined as max | x i â m | {\displaystyle \max \left|x_{i}-m\right|} ): it is a solution to a variational problem.
When you have a normally distributed sample you can legitimately use both the mean or the median as your measure of central tendency. In fact, in any symmetrical distribution the mean, median and mode are equal. To me, it seems like median is clearly useful in situations where there is skewed distribution. But mean seems to be a useless measurement since in symmetrical distribution it will be almost identical to the median. My question is: why is mean used at all when in the case of symmetrical distribution a median represents central tendency just as well?