Problem 5 The probability that a basketball player makes a free throw is p= 0.7. The player's free throw's are modeled as a sequence of Bernoulli trials. The player earns $1 for a making a free throw and loses $1 otherwise. (a) If the player's net gain is modeled as the random walk process associated with the Bernoulli trials, what is the probability that the player has a net gain of $2 or more at the end of the 4th trial? (b) What is the player's expected net gain at the end of the 16th trial?

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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**Problem 5**

The probability that a basketball player makes a free throw is \( p = 0.7 \). The player's free throws are modeled as a sequence of Bernoulli trials. The player earns $1 for making a free throw and loses $1 otherwise.

**(a)** If the player’s net gain is modeled as the random walk process associated with the Bernoulli trials, what is the probability that the player has a net gain of $2 or more at the end of the 4th trial?

**(b)** What is the player’s expected net gain at the end of the 16th trial?
Transcribed Image Text:**Problem 5** The probability that a basketball player makes a free throw is \( p = 0.7 \). The player's free throws are modeled as a sequence of Bernoulli trials. The player earns $1 for making a free throw and loses $1 otherwise. **(a)** If the player’s net gain is modeled as the random walk process associated with the Bernoulli trials, what is the probability that the player has a net gain of $2 or more at the end of the 4th trial? **(b)** What is the player’s expected net gain at the end of the 16th trial?
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