What is the mean and median in left skewed data (or right)
In statistics, the mean and median are two different ways of describing the "middle" of a set of numbers. The mean is the average of all the numbers, which you can find by adding them all up and then dividing by the total number of numbers. The median is the number that is in the middle of the set when the numbers are listed in order from least to greatest.
A "left skewed" distribution is one where the numbers on the left side of the median (the smaller numbers) are bunched together more closely than the numbers on the right side (the larger numbers). This means that the mean and the median will be different in a left skewed distribution. The mean will be pulled to the right (toward the larger numbers) because it is affected by all of the numbers in the distribution. The median, on the other hand, will be closer to the left side of the distribution because it is only affected by the middle number.
Here's an example: let's say we have the following set of numbers: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10. The mean of this set is 5.5 (you get this by adding all the numbers up and dividing by 10), and the median is 5 (the middle number when the numbers are listed in order). Now let's say we add the number 0 to the set. The new set is 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10. The mean is still 5.5, but the median is now 5 (the middle number of the 11 numbers in the set). This is an example of a left skewed distribution, because the smaller numbers (0 and 1) are bunched together on the left side of the median, and the larger numbers are spread out more on the right side.
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