A normal distribution is symmetrical; the mean, median and mode are all the same, on the line of symmetry (middle) of the graph.
The median would not change, but the mean would increase.
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.
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.
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.
Like, it shows a stat in a graph or group of things such as: the Median, range, Mode, Max, Min, Mean.
The median would not change, but the mean would increase.
The median.
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.
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.
That would provide some evidence that the distribution is symmetric about the mean (or median).
That would provide some evidence that the distribution is symmetric about the mean (or median).
MEAN
Sometimes the mean does not give the entire picture of how the data behaves. For example: {2, 2, 3, 15, 100} The mean is 24, the median is 3. This shows that if you graph these numbers on a line, they will be grouped much more to the low end than near the mean. ■
The mean deviation from the median is equal to the mean minus the median.