No. The Normal distribution is symmetric: skewness = 0.
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.
If the two distributions can be assumed to follow Gaussian (Normal) distributions then Fisher's F-test is the most powerful test. If the data are at least ordinal, then you can use the Kolmogorov-Smirnov two-sample test.
8=D
More information is needed to determine the answer to the question. We need to know the probability of success or failure.
They are probability distributions!
Yes. And that is true of most probability distributions.
discrete & continuous
Yes.
It is "probability".
A probability distribution links the probability of an outcome in a statistical experiment with the chances of it happening. Probability distributions are often used in statistical analysis.
A probability distribution links the probability of an outcome in a statistical experiment with the chances of it happening. Probability distributions are often used in statistical analysis.
Assuming that "piossion" refers to Poisson, they are simply different probability distributions that are applicable in different situations.
It is a function which is usually used with continuous distributions, to give the probability associated with different values of the variable.
There are an indeterminate number: thousands upon thousands.
They are continuous, symmetric.
If you're studying a subject involving or related to statistics and probability, then it will. If you're not, then it won't.