A normal distribution is symmetrical; the mean, median and mode are all the same, on the line of symmetry (middle) of the graph.
They are values of the variable which may be determined from some graphs.
The median would not change, but the mean would increase.
Like, it shows a stat in a graph or group of things such as: the Median, range, Mode, Max, Min, Mean.
Unimodal is having a normal disturbution. The mean, median, and mode are all a the center. When looking at a graph, there is one maximum.
That would provide some evidence that the distribution is symmetric about the mean (or median).
The mean deviation from the median is equal to the mean minus the median.
A positively skewed or right skewed distribution means that the mean of the data falls to the right of the median. Picturewise, most of the frequency would occur to the left of the graph.
you mean line of best fit?
An outlier will pull the mean and median towards itself. The extent to which the mean is affected will depend on the number of observations as well as the magnitude of the outlier. The median will change by a half-step.