A discrete distribution is a statistical probability distribution that represents the possible discrete values a variable can take.

Prior probability, in Bayesian statistical inference, is the probability of an event based on established knowledge, before empirical data is collected.

Probability is used in everyday life. For example, in medicine in determining the chance of a drug working and by insurance companies in determining the cost of car insurance for different age groups.

Probability Data Round-Off Rule: Either provide the exact fraction or decimal of the probability or round off the final result to three significant digits.

For example, when using a biased die, the probability of getting each number is no longer 1 6. To be able to assign a probability to each number, an experiment would need to be conducted.