GATE CS 2017 Set 2 — Question 31

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MCQ+2 / -0.67MediumDiscrete DistributionsProbability & StatisticsEngineering MathematicsExpectation & Variance

Engineering Mathematics → Probability & Statistics → Discrete Distributions

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Question

For any discrete random variable XX, with probability mass function
P(X=j)=pj,pj0,j{0,...,N}P(X = j) = p_j, p_j \ge 0, j \in \{0,..., N\}, and j=0Npj=1\sum_{j=0}^{N} p_j = 1, define the polynomial function
gX(z)=j=0Npjzjg_X(z) = \sum_{j=0}^{N} p_j z^j. For a certain discrete random variable YY, there exists a scalar β[0,1]\beta \in [0,1] such that gY(z)=(1β+βz)Ng_Y(z) = (1 - \beta + \beta z)^N. The expectation of YY is
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