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.
If it is a symmetric distribution, the median must be 130.
The distribution is skewed to the right.
It is 38.
In a symmetric distribution, the mean and the median are the same. Otherwise there is no relation. In symmetric distributions with only one mode, the mode will coincide with the mean and median, but otherwise there is no relation.
Yes, mode equals median in a normal distribution.
Yes it is. The normal distribution is symmetrical around the mode. Therefore the median has to be the same :)
The mean is the same as the mode and median.
No, in a normal distribution they are the same.
The normal distribution.
The median of a normal distribution to outlier as lunar perigee is to lunar is an elliptical orbit.
A normal distribution is symmetrical; the mean, median and mode are all the same, on the line of symmetry (middle) of the graph.
for symmetrical distributions your mean equals the median. that is one of the properties of the symmetrical distribution.
Yes.
Yes.
Mean, median, and mode are all equal in a normal distribution.
The formula is: median of lognormal = exp(u)