0.0375
The normal distribution and the t-distribution are both symmetric bell-shaped continuous probability distribution functions. The t-distribution has heavier tails: the probability of observations further from the mean is greater than for the normal distribution. There are other differences in terms of when it is appropriate to use them. Finally, the standard normal distribution is a special case of a normal distribution such that the mean is 0 and the standard deviation is 1.
with mean and standard deviation . Once standardized, , the test statistic follows Standard Normal Probability Distribution.
with mean of and standard deviation of 1.
Zero.
It is the Standard Normal distribution.
.0401
It is 0.1587
The normal distribution and the t-distribution are both symmetric bell-shaped continuous probability distribution functions. The t-distribution has heavier tails: the probability of observations further from the mean is greater than for the normal distribution. There are other differences in terms of when it is appropriate to use them. Finally, the standard normal distribution is a special case of a normal distribution such that the mean is 0 and the standard deviation is 1.
When its probability distribution the standard normal distribution.
I apologize my question should have read what are the characteristics of a standard normal probability distribution? Thank you
with mean and standard deviation . Once standardized, , the test statistic follows Standard Normal Probability Distribution.
Yes.
with mean of and standard deviation of 1.
Zero.
It is the Standard Normal distribution.
a mean of 1 and any standard deviation
0.8413