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Exercise: Random Variables and Probab... · Q25

Q.A random variable XX has the following probability distribution: P(X=0)=0.1P(X=0)=0.1, P(X=1)=kP(X=1)=k, P(X=2)=2kP(X=2)=2k, P(X=3)=0.3P(X=3)=0.3. Find the value of kk and hence write the complete probability distribution.

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Concept understanding — Random Variable and Probability Distribution

A random variable is a real-valued function defined on the sample space of a random experiment, assigning a single number to every outcome. A discrete random variable takes finitely many distinct values x1,…,xnx_1,\dots,x_n, and its probability distribution is the table pairing each value with its probability pi=P(X=xi)p_i=P(X=x_i). A valid probability distribution must satisfy two conditions: every pi≥0p_i\ge0, and the probabilities sum to exactly 11 (∑pi=1\sum p_i=1). Constructing a distribution from a word problem means listing every possible value, computing each value's probability from the underlying sample space, and checking the sum-to-one condition as a safeguard.

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