Explanation:
5.The probability of each value of a discrete random variable is between 0 and 1, and the sum of all the probabilities is equal to 1. A continuous random variable takes on all the values in some interval of numbers
6.Probabilities have to sum up to one when you are dealing with mutually exclusive events that encompass all possible outcomes. Inot other words, something has to happen, and only 1 thing will. “1” is, by definition, a guaranteed event. 100% chance.
7.The single most important distribution in probability and statistics is the normal probability distribution. The density function of a normal probability distribution is bell shaped and symmetric about the mean. The normal probability distribution was introduced by the French mathematician Abraham de Moivre in 1733.
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