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It shows the middle number in a number group rather than the average score in a number group. It isn't exactly better than the mean because they are often very close numbers.

But at other times, one number in a group messes up the mean if it is too low or too high, so you can get a better answer by finding out the median.

Q: Why is the median better than the mean?

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The mean is better than the median when there are outliers.

Yes, the median can be greater than the mean. It just depends on the values of the data. A simple series of 1,5,6 has 5 as the median, with a mean of 4.

mean

7,6,4,92,57,32

A single number cannot have a range (other than 0), nor can it have a median that is different from its mean. A single number cannot have a range (other than 0), nor can it have a median that is different from its mean. A single number cannot have a range (other than 0), nor can it have a median that is different from its mean. A single number cannot have a range (other than 0), nor can it have a median that is different from its mean.

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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.

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.

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

When a distribution is skewed to the right, the mean is greater than median.

When the distribution has outliers. They will skew the mean but will not affect the median.

Generally, when the median is greater than the mean it is because the distribution is skewed to the left. This results in outliers or values further below the median than above the median which results in a lower mean value than median value. When a distribution is skewed left, it is generally not very symmetrical or normally distributed.

The answer depends on the type of data. The mean or median are useless if the data are qualitative (categoric): only the mode is any use. The median is better than the mean is the data are very skewed.

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.

well when answering the mean you take the average of all the numbers so it be approxiamently around the answers and each number can affect the mean in many ways while a median is when you put the numbers in order and you get the middle number, because it is a middle the number can be far away from the beginning number or ending number. Mode is when the numbers appear the most and when picking mode it can be a dramatic change from the numbers around it. That is why calculating the mean average is better than take the median and mode, but sometimes some problems work better dealing with mode or median.

because mean you add all the number and median you look for the number in the middel

Yes.