The exponential distribution and the Poisson distribution.
Yes, and is equal to 1. This is true for normal distribution using any mean and variance.
The mean and variance are equal in the Poisson distribution. The mean and std deviation would be equal only for the case of mean = 1. See related link.
Yes, mode equals median in a normal distribution.
The standard normal distribution is a subset of a normal distribution. It has the properties of mean equal to zero and a standard deviation equal to one. There is only one standard normal distribution and no others so it could be considered the "perfect" one.
The exponential distribution and the Poisson distribution.
Yes, and is equal to 1. This is true for normal distribution using any mean and variance.
yes
var(X) = (xm/a - 1)2 a/a-2 . If a < or equal to 2, the variance does not exist.
The mean and variance are equal in the Poisson distribution. The mean and std deviation would be equal only for the case of mean = 1. See related link.
The total area under a normal distribution is not infinite. The total area under a normal distribution is a continuous value between any 2 given values. The function of a normal distribution is actually defined such that it must have a fixed value. For the "standard normal distribution" where μ=0 and σ=1, the area under the curve is equal to 1.
Yes, mode equals median in a normal distribution.
The standard normal distribution is a subset of a normal distribution. It has the properties of mean equal to zero and a standard deviation equal to one. There is only one standard normal distribution and no others so it could be considered the "perfect" one.
The expected value of the standard normal distribution is equal to the total amount of the value. It is usually equal to it when the value works out to be the same.
In Minitab 13, the test for equal variance is commonly referred to as Levene's Test. This test assesses whether multiple groups have the same variance, which is an important assumption for various statistical analyses. It is particularly useful when comparing variances across samples that may not follow a normal distribution. The results help determine if the assumption of homogeneity of variances holds for subsequent analyses.
1.it is bell shaped.2.m.d=0.7979 of s.d 3.total area under the normal curve is equal to 1.
Yes.