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.
Only the mean, because a normal distribution has a standard deviation equal to the square root of the mean.
-1.43 (approx)
z = 1.52 (approx)
100%
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.
One standard deviation
The mean, median, and mode of a normal distribution are equal; in this case, 22. The standard deviation has no bearing on this question.
Only the mean, because a normal distribution has a standard deviation equal to the square root of the mean.
Because as the sample size increases the Student's t-distribution approaches the standard normal.
The answer will depend on the underlying distribution for the variable. You may not simply assume that the distribution is normal.
false
-1.43 (approx)
z = 1.52 (approx)
100%
Yes, it is true; and the 2 quantities that describe a normal distribution are mean and standard deviation.