Wiki User
∙ 12y ago50%
Wiki User
∙ 12y agoz = 1.52 (approx)
No, as you said it is right skewed.
It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.
The probability mass function is used to characterize the distribution of discrete random variables, while the probability density function is used to characterize the distribution of absolutely continuous random variables. You might want to read more about this at www.statlect.com/prbdst1.htm (see the link below or on the right)
In math, skewness is a measure of the asymmetry of a probability distribution. A distribution is considered right-skewed if the tail on the right side is longer or fatter than the tail on the left side, and vice versa for left-skewed distributions. Skewness can give insight into the shape of a dataset and how it deviates from a symmetrical distribution like the normal distribution.
Symmetric
The F-distribution is either zero or positive, so there are no negative values for F. This feature of the F-distribution is similar to the chi-square distribution. The F-distribution is skewed to the right. Thus this probability distribution is nonsymmetrical.
It is 0.839
0.0006 (approx).
It determines the location of the graph: left or right - but not its shape.
It is 0.877
probability distribution