Well.......I guess median cuz then it gives a lower price and then u wouldn't have to spend that much money.
The mean is better than the median when there are outliers.
mean
in general,mean is more stable than median but in the case of extreme values it is better to consider median a stable measure than mean.
The question is how do the mean and median affect the distribution shape. In a normal curve, the mean and median are both in the same point. ( as is the mode) If a distribution is skewed, its tail is either on the right or the left. If a distribution is skewed the median may be a better value to use than the mean since it has less effect on the shape. Also is there are large outliers, the median has less effect and is better to use. So the mean has a bigger effect on the shape many times than the median.
This depends on your data. Most likely the median though.
The mean deviation from the median is equal to the mean minus the median.
The answer will depend on the nature of the data.If the data are qualitative then the only option is the mode.If they are ordinal then you have a choice between the mode and median. The mode may be a better measure when the data are very skewed. Otherwise the median is usually better.For any higher level of measurement is is also possible to calculate the mean. In such cases the median or mean are better. For very skew distributions the median is better but otherwise is should be the mean.
Both are measures of central tendency. But, the mean has mathematical properties that are better understood.
The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5
who discovered mean median and mode
Mean, Median and Mode. They are three kinds of averages.
Mean is the average, and median is the middle number.