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When is data negatively or positively skewed?

i) Since Mean<Median the distribution is negatively skewed ii) Since Mean>Median the distribution is positively skewed iii) Median>Mode the distribution is positively skewed iv) Median<Mode the distribution is negatively skewed


If the mean of a symmetric distribution is 130 which of these values could be the median of the distribution?

If it is a symmetric distribution, the median must be 130.


How come the mean is less 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.


When you calculate mean is the answer same when the same data is calculated by median?

No. The mean and median are not necessarily the same. They will be the same if the distribution is symmetric but the converse is not necessarily true. That is to say, a distribution does not have to be symmetric for the mean and median to be the same. For example, the mean and median of {1, 1, 5, 6, 12} are both 5 but the distribution is NOT symmetric.


Can mean and median have same values?

Yes, they can.Yes, they can. In a symmetric distribution they will be the same.


Normal distribution is symmetric about mean or median or mode?

Mean


Is the uniform probability distribution is symmetric about the mean and median?

yes


What is the shape of a distribution when the mean and the median are the same value?

That would provide some evidence that the distribution is symmetric about the mean (or median).


What is the shape of a distribution when the mean and the median are about the same value?

That would provide some evidence that the distribution is symmetric about the mean (or median).


For a symmetric distribution of data the mean is equal to which other quantity?

Median.


Can mean and median have one value?

Yes. And in any symmetric distribution, they will.


Will the mean and median in a symmetric distribution always be equal or approximately equal and Why?

In a symmetric distribution, the mean and median will always be equal. This is because symmetry implies that the distribution is balanced around a central point, which is where both the mean (the average) and the median (the middle value) will fall. Therefore, in perfectly symmetric distributions like the normal distribution, the mean, median, and mode coincide at the center. In practice, they may be approximately equal in symmetric distributions that are not perfectly symmetrical due to rounding or sampling variability.