-0.675
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
The distance between the middle and the inflection point is the standard deviation.
95%
95
3.06
If the Z-Score corresponds to the standard deviation, then the distribution is "normal", or Gaussian.
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