0.4846
The standard normal distribution is a normal distribution with mean 0 and variance 1.
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
A mathematical definition of a standard normal distribution is given in the related link. A standard normal distribution is a normal distribution with a mean of 0 and a variance of 1.
standard normal is for a lot of data, a t distribution is more appropriate for smaller samples, extrapolating to a larger set.
When its probability distribution the standard normal distribution.
It is the Standard Normal distribution.
The standard normal distribution is a normal distribution with mean 0 and variance 1.
2.16
A normal distribution can have any value for its mean and any positive value for its variance. A standard normal distribution has mean 0 and variance 1.
0.368 or 36.8%.And you should specify that it is a standard normal distribution.0.368 or 36.8%.And you should specify that it is a standard normal distribution.0.368 or 36.8%.And you should specify that it is a standard normal distribution.0.368 or 36.8%.And you should specify that it is a standard normal distribution.
The standard normal distribution has a mean of 0 and a standard deviation of 1.
Look in any standard normal distribution table; one is given in the related link. Find the area for 2.43 and 1.52; then take the area for 2.43 and subtract the area for 1.52 and that will be the answer. Therefore, .9925 - .9357 = .0568 = area under the normal distribution curve between z equals 1.52 and z equals 2.43.
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
The standard deviation in a standard normal distribution is 1.
The standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 1.
The standard deviation in a standard normal distribution is 1.
A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.