![]() Probability gives us the idea of the occurrence of that event. ![]() Like the probability of raining on a cloudy day is much higher than raining on a clear day. For example probability of occurring head in tossing of coin which is half (½) as there are two possible outcomes head or tail. Probability means the probable chances of the event occurring in a situation. Such random variables generally take a finite set of values (heads or tails, people who live in London, scores on an IQ test), but they can also include random variables that take a countable set of values (0, 1, 2, 3, …). random variables that take a discrete set of values. ![]() We now define the concept of probability distributions for discrete random variables, i.e. In this article, we will learn to Calculate Discrete Probability in Excel.
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