Answer
We know that mean and mode are dependent on entire data set and the median is only dependent on the middle value of the data. So, in case of outlier, only mean and mode will change and median will remain same.
In this case, mean and mode are increased due to the presence of outlier and median is same (just a 0.5 point variation due to the total number of data values which is changed from 74 to 75)
Dispersion or standard error is measures the difference between the each individual value and mean value. It is clear that the mean is changed, so there will be an increase in the dispersion or standard error because the sum of squared deviation is increased due to increase in mean.
Therefore, mean, mode and dispersion will increase in presence of outlier, but median will remain same.
Summary of Descriptive Statistics Excel will tabulate a summary of the descriptive statistics for...
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