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.
No, they are rarely the same.
No, the normal curve is not the meaning of the Normal distribution: it is one way of representing it.
Mean and Standard Deviation
Because the standard deviation is one of the two parameters (the other being the mean) which define the Normal curve. The mean defines the location and the standard deviation defines its shape.
It is a normal curve with mean = 0 and variance = 1.
Mean = 0 Standard Deviation = 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.
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
The standard normal curve is symmetrical.
No, they are rarely the same.
the standard normal curve 2
The area under the standard normal curve is 1.
The mean must be 0 and the standard deviation must be 1. Use the formula: z = (x - mu)/sigma
No, the normal curve is not the meaning of the Normal distribution: it is one way of representing it.
Mean and Standard Deviation
Because the standard deviation is one of the two parameters (the other being the mean) which define the Normal curve. The mean defines the location and the standard deviation defines its shape.