For instance, one pint of ordinary lager, bitter or cider, or a 175 ml glass of wine equal two units, but the UK legal limit is 80 milligrammes of alcohol in 100 millilitres of blood.
The Mean Absolute Deviation (MAD) of a set of data is the average distance between each data value and the mean. The mean absolute deviation is the average of the positive distances of each point from the mean. The larger the MAD, the greater variability there is in the data (the data is more spread out). The MAD helps determine whether the set's mean is a useful indicator of the values within the set. The larger the MAD, the less relevant is the mean as an indicator of the values within the set. Let's compare Sherlock's data set with that belonging to Watson. to see what the Mean Absolute Deviation (MAD) tells us.
(the average) - the sum of all data values divided by the number of the data values. deviation. - the difference between a data value in a set and the mean of the set. - the mean (average) of all deviations in a set equals zero. absolute value. - the distance (a positive quantity) of any value on a number line from zero. - the sum of the absolute values of deviations on each side of the mean are equal.