You calculate the z-scores and then use published tables.
No. Normal distribution is a continuous probability.
Yes. When we refer to the normal distribution, we are referring to a probability distribution. When we specify the equation of a continuous distribution, such as the normal distribution, we refer to the equation as a probability density function.
No, the normal distribution is strictly unimodal.
with mean and standard deviation . Once standardized, , the test statistic follows Standard Normal Probability Distribution.
It is the Standard Normal distribution.
No. Normal distribution is a continuous probability.
Yes. When we refer to the normal distribution, we are referring to a probability distribution. When we specify the equation of a continuous distribution, such as the normal distribution, we refer to the equation as a probability density function.
A bell shaped probability distribution curve is NOT necessarily a normal distribution.
When its probability distribution the standard normal distribution.
Normal distribution is the continuous probability distribution defined by the probability density function. While the binomial distribution is discrete.
No, the normal distribution is strictly unimodal.
The total area of any probability distribution is 1
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.
If X has any discrete probability distribution then the sum of a number of observations for X will be normal.
The number 1. The area of any probability distribution equals 1.