A probability distribution is a mathematical function that describes the likelihood of different outcomes occurring in a random experiment or event. It shows the possible values of a variable and how likely they are to occur.
There are many types of probability distributions, but some of the most commonly used ones include the normal distribution, binomial distribution, Poisson distribution, and exponential distribution.
The type of distribution for your data can be determined by examining the shape of the data and comparing it to the characteristics of different distributions. For example, if your data is bell-shaped, it may follow a normal distribution.
Determining the type of distribution for your data is important because it allows you to make more accurate predictions and inferences about your data. It also helps in selecting the appropriate statistical tests and methods for analyzing your data.
Yes, it is possible for your data to follow more than one type of distribution. This is known as a mixed distribution and may occur when your data contains multiple subgroups or populations with different distributions.