Not a lot. Many textbooks suggest that if the mean is less than the median the distribution is positively skewed or skewed to the right.
But, this is not necessarily true and the rule of thumb is often broken. See article by Paul T. von Hippel, Journal of Statistics Education, Volume 13, Number 2 (2005).
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You would have a skewed distribution. You would have a lot of higher results bunched up and fewer low results, but the lower results would be much lower, bringing the mean average down.
Yes. If the predominant data are higher than the median, the mean average will be higher than the median average. For example, the median average of the numbers one through ten is five. The mean average is five and one-half.
The question will specify.
The median is the middle number of any given set when they are in order, least to greatest. If there is an even number of values, the median is the average of the middle two. It tells you that half the members of the set are greater than it and half are less than it.
No because the mean is the highest numeral and the median is the middle numeral of the set of numbers so it is tecnictly impossible, but if you are using decimals, the median could get pretty close to the mean, but never higher.
Its important because they show trends (growth) in data. Individual data points are less important than what you see when you put all the data together.
If the distribution is not symmetric, the mean will be different from the median. A negatively skewed distribution will have a mean hat is smaller than the median, provided it is unimodal.
IDN
When the data distribution is negatively skewed.
definantly, yes Of course. 1, 2, 3, 40, 50, 60, 82 Mean = 34 Median = 40
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.
The median of the 12 primes less than 40 is 15.
median
(1, 5, 97, 99, 100, 100) The mode is 100. The median is 98. The mean is 67.
One of the characteristics of mean when measuring central tendency is that when there are positively skewed distributions, the mean is always greater than the median. Another characteristic is that when there are negatively skewed distributions, the mean is always less than the median.
The median is less effected by outliers or numbers far outside of the normal range than the mean. See related link.
The mean is better than the median when there are outliers.
Yes. If the lower values tend to be farther below the median than the highest values are above the median, the mean is smaller than the median. why are write wrong