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• What are the conditions of the Probability distribution? There are basically two major conditions: The probabilities for random events must lie between 0 to 1. The sum of all the probabilities of outcomes should be equal to 1.

• Discrete Probability Distribution 1 n = Total number of events 2 r = Total number of successful events. 3 p = Success on a single trial probability. 4 n C r = [n!/r! (n−r)]! 5 1 – p = Failure Probability

• In biology: It is applied to the analysis of the abnormal natural phenomenon in biology. Probability plays a vital role in the day to day life. In the weather forecast, sports and gaming strategies, buying or selling insurance, online shopping, and online games, determining blood groups, and analyzing political strategies.

Probability distributions are basically used to do future analysis or predictions. This is basically dependent on mathematical formulas. There is a list of probability distributions, which have their own significance in real-life applications.

Probability analysis features formulas that business owners can employ in a controlled manner to anticipate potential results. Probability distributions is one such formula. A probability distribution is a statistical function that identifies all the conceivable outcomes and odds that a random variable will have within a specific range.

In biology: It is applied to the analysis of the abnormal natural phenomenon in biology. Probability plays a vital role in the day to day life. In the weather forecast, sports and gaming strategies, buying or selling insurance, online shopping, and online games, determining blood groups, and analyzing political strategies.

As probability theory is used in quite diverse applications, terminology is not uniform and sometimes confusing. The following terms are used for non-cumulative probability distribution functions: Frequency distribution: A frequency distribution is a table that displays the frequency of various outcomes in a sample.