The bottleneck mechanism occurs when the first stimulus is being processed, any other stimuli cannot be processed. The processing of the second stimulus is postponed which slows down reaction time. Neurons that take in information send this information to specific neural networks in different locations.
Sometimes the more telling statistic is the median, instead of the average â but in the age of average, it might take some effort to embrace the more accurate number.
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?