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A Gaussian distribution has the mean at the highest value.
Sum all the values and divide by the number of values.
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A very partial answer and one that does not address the question which was in the context of a frequency distribution table.
If the frequencies are for grouped data, replace the range of each group by its midpoint. This, then, comprises the set of values, x, for the random variable. For each x there is an associated frequency, f. Multiply each x by its frequency and add these together. Divide the answer by the sum of the f values.
That is the mean.
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How do you find the mean from a relative frequency table?
bum fun fun
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.
When the mean of a distribution of scores of measures is higher than the median the distribution would be?
The distribution is skewed to the right.
Is the Mean for distribution of means less than population mean?
No.
Is Mean is more sensitive to skewness than the median?
If the distribution is positively skewed , then the mean will always be the highest estimate of central tendency and the mode will always be the lowest estimate of central tendency (If it is a uni-modal distribution). If the distribution is negatively skewed then mean will always be the lowest estimate of central tendency and the mode will be the highest estimate of central tendency. In both positive and negative skewed distribution the median will always be between the mean and the mode. If a distribution is less symmetrical and more skewed, you are better of using the median over the mean.
