No. Normal distribution is a continuous probability.
Because very many variables tend to have the Gaussian distribution. Furthermore, even if the underlying distribution is non-Gaussian, the distribution of the means of repeated samples will be Gaussian. As a result, the Gaussian distributions are also referred to as Normal.
No, the normal distribution is strictly unimodal.
It is a continuous parametric distribution belonging to the family of exponential distributions. It is also symmetric.
with mean and standard deviation . Once standardized, , the test statistic follows Standard Normal Probability Distribution.
No. Normal distribution is a continuous probability.
A bell shaped probability distribution curve is NOT necessarily a normal 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.
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.
Because very many variables tend to have the Gaussian distribution. Furthermore, even if the underlying distribution is non-Gaussian, the distribution of the means of repeated samples will be Gaussian. As a result, the Gaussian distributions are also referred to as Normal.
No, the normal distribution is strictly unimodal.
It is a continuous parametric distribution belonging to the family of exponential distributions. It is also symmetric.
True * * * * * No. The Student's t-distribution, for example, is also bell shaped.
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.