Suppose we have a probability mass function p (y) has the following form. y -1 2...
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Suppose we have a probability mass function p (y) has the following form. y -1 2 p (y) 0.3 0.1 what is the value of k so that p (y) is a valid probability mass function? 0.2 0.3 0.4 0.5 1 k 3 2k Suppose X follows a geometric distribution with expected value of 2, which of the following statements is/are true? □ E(X) = 2 OP(X <-2) = 0 OV(X) = 2 □ P(X ≤ 3) = P(X < 3) Which of the following statements is/are true? If events A and B are mutually exclusive, then A and B are independent. Expected value of a random variable y must be one of the values in Sy The parameter p in Bin(n, p) can be greater than 1. (An B) n (An B) = A Simple events are mutually exclusive. . Suppose we have a probability mass function p (y) has the following form. y -1 2 p (y) 0.3 0.1 what is the value of k so that p (y) is a valid probability mass function? 0.2 0.3 0.4 0.5 1 k 3 2k Suppose X follows a geometric distribution with expected value of 2, which of the following statements is/are true? □ E(X) = 2 OP(X <-2) = 0 OV(X) = 2 □ P(X ≤ 3) = P(X < 3) Which of the following statements is/are true? If events A and B are mutually exclusive, then A and B are independent. Expected value of a random variable y must be one of the values in Sy The parameter p in Bin(n, p) can be greater than 1. (An B) n (An B) = A Simple events are mutually exclusive. .
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Mathematical Statistics with Applications in R
ISBN: 978-0124171138
2nd edition
Authors: Chris P. Tsokos, K.M. Ramachandran
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