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Chapter 5: R5.3 - Review Exercises (page 356)

Rock smashes scissors Almost everyone has played the game rock-paper-scissors at some point. Two players face each other and, at the count of 3, make a fist (rock), an extended hand, palm side down (paper), or a 鈥淰鈥 with the index and middle fingers (scissors). The winner is determined by these rules: rock smashes scissors; paper covers rock; and scissors cut paper. If both players choose the same object, then the game is a tie. Suppose that Player 1and Player 2 are both equally likely to choose rock, paper, or scissors. a. Give a probability model for this chance process. b. Find the probability that Player 1wins the game on the first throw .

Short Answer

Expert verified

The probability of all outcomes: (rock, rock), (rock, paper), (rock, scissors), (paper, rock), (paper, paper), (paper, scissors), (scissors, rock), (scissors, paper), (scissors, scissors) The probability of each outcome is 19.

Step by step solution

01

Part (a) - Step 1 : Given Information 

We are given two players that are playing rock-paper-scissors. We need to find the sample space and write the probability for each of this chance process.

02

Part(a) - Step 2 : Explanation

A player can choose any of three given options: rock, paper and scissors. Assume (x,y) represent the outcomes of the game, where xrepresents the choice of player 1and yrepresents the choice of player 2. All possible outcomes of the game are then: (rock, rock), (rock, paper), (rock, scissors), (paper, rock), (paper, paper), (paper, scissors), (scissors, rock), (scissors, paper), (scissors, scissors) . There are 9possible outcomes, while each of the outcome is equally likely to happen and thus the probability of each outcome is 19.

03

Part(b)-Step 1 : Given Information

We have been given that two players are playing rock-paper-scissors. We need to find the sample space and write the probability of winning of Player 1in first throw .

04

Part (b)-Step 2 : Explanation 

Since sample space comprises of three outcomes for one throw . Player1 can choose a single outcome to win the game . So, probability comes out to be13.

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Most popular questions from this chapter

Who eats breakfast?Students in an urban school were curious about how many children regularly eat breakfast. They conducted a survey, asking, 鈥淒o you eat breakfast on a regular basis?鈥 All 595students in the school responded to the survey. The resulting data are shown in the two-way table.

Suppose we select a student from the school at random. Define event Fas getting a female student and event Bas getting a student who eats breakfast regularly.

a. Find P(BC)

b. Find P(FandBC). Interpret this value in context.

c. Find P(ForBC).

In an effort to find the source of an outbreak of food poisoning at a conference, a team of medical detectives carried out a study. They examined all 50 people who had food poisoning and a random sample of 200 people attending the conference who didn鈥檛 get food poisoning. The detectives found that 40% of the people with food poisoning went to a cocktail party on the second night of the conference, while only 10% of the people in the random sample attended the same party. Which of the following statements is appropriate for describing the 40% of people who went to the party? (Let F = got food poisoning and A = attended party.)

a. P(F|A) = 0.40

b. P(A|FC) = 0.40

c. P(F|AC) = 0.40

d. P(AC|F) = 0.40

e. P(A|F) = 0.40

If a player rolls a 2,3,or12, it is called craps. What is the probability of getting craps or an even sum on one roll of the dice?

a. 4/36

b. 18/36

c. 20/36

d. 22/36

e. 32/36

Lucky penny? Harris Interactive reported that 33%of U.S. adults believe that

finding and picking up a penny is good luck. Assuming that responses from different

individuals are independent, what is the probability of randomly selecting 10U.S. adults

and finding at least 1person who believes that finding and picking up a penny is good

luck?

The dotplot displays the number of made shots in 100simulated sets of 50free throw by someone with probability 0.56of making a free throw.

Which of the following is an appropriate statement about Wilt鈥檚 free-throw shooting

based on this dotplot?

a. If Wilt were still only a 56%shooter, the probability that he would make at least 34of his shots is about0.03.

b. If Wilt were still only a 56%shooter, the probability that he would make at least 34of his shots is about 0.97..

c. If Wilt is now shooting better than 56%, the probability that he would make at least 34of his shots is about 0.03.

d. If Wilt is now shooting better than56%, the probability that he would make at least 34of his shots is about0.97.

e. If Wilt were still only a 56%shooter, the probability that he would make at least 34of his shots is about 0.01.

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