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This lecture will help you to understand how you will construct a discrete probability distribution.
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A discrete random variable is one that can assume only a countable number of values. PROBABILITY DISTRIBUTION It is a listing of the possible values and the corresponding probabilities of a discrete random variable or a formula for the probabilities. Example 1. A basket contains 10 ripe and 4 unripe bananas. If three bananas are taken from the basket one after the other, determine the possible values of the random variable R representing the number of ripe bananas. Construct the probability distribution of the random variable R. Step 1. List the sample space of this experiment. Let R represent the ripe bananas and let U represent the unripe bananas
Step 2. Count the number of ripe bananas (R) in each outcome and assign this number to this outcome. OUTCOMES Number of Ripe Bananas (Value of R) RRR 3 RRU 2 RUR 2 URR 2 UUR 1 URU 1 RUU 1 UUU 0
Step 3. Construct the frequency distribution of the values of the random variable R. Number of Ripe Bananas (Values of R) Number of Occurrence (Frequency) 3 1 2 3 1 3 0 1 Total 0 Step 4. Construct the probability distribution of the random variable R by getting the probability of occurrence of each value of the random variable. Number of Ripe Bananas (Values of R) Number of Occurrence (Frequency) Probability P(R) 3 1 1/ 2 3 3/ 1 3 3/ 0 1 1/ Total 8 8/8 or 1