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Q: What requirements are necessary for a normal probability distribution to be a standard normal probability?
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What requirements are necessary for a normal probability distibution to be a standard normal probability distribution?

The mean must be 0 and the variance must be 1.


What requirements are necessary for a normal probability distribution to be a standard normal probability distribution?

The normal distribution, also known as the Gaussian distribution, has a familiar "bell curve" shape and approximates many different naturally occurring distributions over real numbers.


What are the characteristics a standard normal probability distribution?

I apologize my question should have read what are the characteristics of a standard normal probability distribution? Thank you


What is Normal of probability distribution?

with mean and standard deviation . Once standardized, , the test statistic follows Standard Normal Probability Distribution.


Is standard normal distribution a probability distribution function?

Yes.


When can you say the distribution is considered normal?

When its probability distribution the standard normal distribution.


Is the uniform probability distribution's standard deviation proportional to the distribution's range?

no


The mean of a standard normal probability distribution?

Zero.


What is Normal of Standard Normal Probability Distribution?

with mean of and standard deviation of 1.


Why is the standard normal probability distribution unique?

a mean of 1 and any standard deviation


What is The normal probability distribution with µ equals 0 and σ equals 1?

It is the Standard Normal distribution.


How does the standard normal distribution differ from the t-distribution?

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.