(a) Acandy vending machine is out of order. The probability that you get a candybar (with or without return of your money) is12, the probability that you getyour money back (with or without candy) is 12, and the probability that youget both the candy and your money back is 112. What is the probability that youget nothing at all? Suggestion: Sketch a geometric diagram similar to Figure 3.1, indicate regions representing the various possibilities and their probabilities; then set up a four-point sample space and the associated probabilities of the points.

(b) Suppose you try again to get a candy bar as in part (a). Set up the 16-point

sample space corresponding to the possible results of your two attempts tobuy a candy bar, and find the probability that you get two candy bars (andno money back); that you get no candy and lose your money both times; thatyou just get your money back both times.

Short Answer

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Answer

(a) The probability of getting nothing is 14.

(b) The probability to get two candy bars without getting any money back is role="math" localid="1654777977384" PAAB'B'=25144;probability to not get candy and also lose your money both times is role="math" localid="1654777997726" PA'A'B'B'=116; that to just get your money back both times is PA'A'B'B'=116.

Step by step solution

01

Given Information

The probability that you get a candy bar (with or without return of your money) is 12, the probability that you get your money back (with or without candy) is 13, and the probability that you get both the candy and your money back is 112.

02

Definition of Independent Event

The events are said to be independent when the occurrence or non-occurrence of any event does not have any effect on the occurrence or non-occurrence of the other event.

When events are independent, apply the formula PAB=PA·PBwhere A and B are the events.

03

Draw the region for the given scenario

Let A be the event of getting a bar and B be the event of getting the money back.

Thus PA=12,PB=13and PAB=112.

Draw the region depicting the respective probabilities.

04

Creating Sample Space for experiment when two die are rolled

Let A be the event of getting a bar and B be the event of getting the money back, thus A' and B' would mean not getting bar and money back respectively.

There are 4 points in the sample space.

Find the sample space for the given problem.

ABA'BAB'A'B'

05

Finding the probability of getting nothing

The probability of getting nothing can be found by subtracting the probability of getting at least one thing from 1.

Find the probability of getting money or bar or both, that is PA+B, using the formula PA+B=PA+PB-PB-AB.

PA+B=12+13-112=6+4-112=34

Find the probability of getting nothing

PA'B'=1-34=14

06

Creating the sample space when two attempts to buy a candy bar is made

There are 16 points in the sample space.

Find the sample space for the given problem.

AABBAABB'AAB'BAAB'B'A'ABBA'ABB'A'AB'BA'AB'B'AA'BBAA'BB'AA'B'BAA'B'B'A'A'BBA'A'BB'A'A'B'BA'A'B'B'

07

Finding the probability that you get two candy bars (and no money back); that you get no candy and lose your money both times; that you just get your money back both times

When PABis subtracted from PA, the probability of getting only the bar and no money is obtained.

Find the probability of only getting the bar in both tries, that is role="math" localid="1654779029963" P(AAB'B').

P(AAB'B')=(12-112)×(12-112)=512×512=25144

Find the probability of not getting anything in both tries, that is role="math" localid="1654779182049" P(A'A'B'B').

P(AAB'B')=14×14=116

When PABis subtracted from PB, the probability of getting only the money and no bar is obtained.

Find the probability of only getting the bar in both tries, that is P(A'A'BB).

P(A'A'BB)=(13-112)×(13-112)=312×312=116

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Most popular questions from this chapter

Given a non uniform sample space and the probabilities associated with the points, we defined the probability of an event A as the sum of the probabilities associated with the sample points favorable to A. [You used this definition in Problem 15with the sample space (2.5).] Show that this definition is consistent with the definition by equally likely cases if there is also a uniform sample space for the problem (as there was in Problem 15). Hint: Let the uniform sample space have n<Npoints each with the probability N-1. Let the nonuniform sample space have n points, the first point corresponding to N1 points of the uniform space, the second to N2 points, etc. What is N1 + N2 + .... Nn ?What are p1, p2, ...the probabilities associated with the first, second, etc., points of the nonuniform space? What is p1 + p2 +....+ pn? Now consider an event for which several points, say i, j, k, of the nonuniform sample space are favorable. Then using the nonuniform sample space, we have, by definition of the probability p of the event, p = pi + pj + pk . Write this in terms of the N’s and show that the result is the same as that obtained by equally likely cases using the uniform space. Refer to Problem 15as a specific example if you need to.

A basketball player succeeds in making a basket 3 tries out of 4. How many tries arenecessary in order to have probability >0.99of at least one basket?

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(a) Find the probability of getting exactly 320 tails.

(b) Find the probability of getting between 300 and 320 tails.

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(b) What is the probability of at least one3?

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