This is the standard normal curve. To the left P(X<x) therefore to the right is P(X>x).
Therefore this means that to calculate the probability look up the Z score on the standard normal table. Then P(X>x) = 1-P(X<x).
This is because the curve is symmetrical arounds its mean.
The standard normal curve is symmetrical.
the standard normal curve 2
The area under the standard normal curve is 1.
It is a normal curve with mean = 0 and variance = 1.
No, the normal curve is not the meaning of the Normal distribution: it is one way of representing it.
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.
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
1
nop its not
Mean = 0 Standard Deviation = 1
It is 15 points.
The mean must be 0 and the standard deviation must be 1. Use the formula: z = (x - mu)/sigma