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Get rich A survey of 4826 randomly selected young adults (aged 19 to 25) asked, “What do you think are the chances you will have much more than a middle-class income at age 30?” The two-way table shows the responses.

14 Choose a survey respondent at random.

(a) Given that the person selected is male, what’s the probability that he answered “almost certain”?

(b) If the person selected said “some chance but probably not,” what’s the probability that the person is female?

Short Answer

Expert verified

Part (a) P (Almost certain/Male) =0.2428

Part (b) P (Female/some chance)=0.5983

Step by step solution

01

Part (a) Step 1. Given Information 

N=4826 young adults were chosen as part of the sample. The responses are organised in a two-way table.

02

Part (a) Step 2. Concept Used

Formula's used:P(A)=totalnumberofoutcomescorrespondingtoeventAnumberofoutcomesinsamplespace

03

Part (a) Step 3. Calculation

The selected person is a man, according to the inquiry. Now we must calculate the chance that the result for "nearly certain" is correct.

Therefore,P(AlmostcertainandMale)=favorableoutcomespossibleoutcomes=5974826

P(Male)=favorableoutcomespossibleoutcomes=24594826

As a result, the conditional probability is:

P(Almostcertain|Male)=P(AlmostcertainandMale)P(Male)P(Almostcertain|Male)=597482624594856P(Almostcertain|Male)=5972459P(Almostcertain|Male)0.2428

As a result, the likelihood of the result being "nearly definite" is

P(Almostcertain/Male)=0.2428

04

Part (b) Step 1. Calculation

The chosen person is female, according to the query. The next step is to calculate the probability that the result for "some chance but probability not" is correct. Therefore,

P(Femaleandsomechance)=favorableoutcomespossibleoutcomes=4264826

P(somechance)=favorableoutcomespossibleoutcomes=7124826

As a result, the conditional probability is:

P(Female/somechance)=P(Femaleandsomechance)P(Female)P(Female/somechance)=42648267124826P(Female/somechance)=426712P(Female/somechance)0.5983

As a result, the probability that the result for "some chance but probability not" is "some chance but probability not" is P(Female/somechance)=0.5983

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Most popular questions from this chapter

Sampling senators Refer to Exercise 50.

(a) Construct a Venn diagram that models the chance process using events R: is a Republican, and F: is female.

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

(c) Find P(RcFc) Interpret this value in context.

Urban voters The voters in a large city are 40%white, 40%black, and 20%Hispanic. (Hispanics may be of any race in official statistics, but here we are speaking of political blocks.) A mayoral candidate anticipates attracting 30%of the white vote, 90%of the black vote, and 50%of the Hispanic vote. Draw a tree diagram to represent this situation. What percent of the overall vote does the candidate expect to get? Use the four-step process to guide your work.

Airport security The Transportation Security Administration (TSA) is responsible for airport safety. On some flights, TSA officers randomly select passengers for an extra security check prior to boarding. One such flight had 76passengers12in first class and 64 in coach class. Some passengers were surprised when none of the 10passengers chosen for screening were seated in first class. We can use a simulation to see if this result is likely to happen by chance.

(a) State the question of interest using the language of probability.

(b) How would you use random digits to imitate one repetition of the process? What variable would you measure?

(c) Use the line of random digits below to perform one repetition. Copy these digits onto your paper. Mark directly on or above them to show how you determined the outcomes of the chance process.

Probability models? In each of the following situations, state whether or not the given assignment of probabilities to individual outcomes is legitimate, that is, satisfies the rules of probability. If not, give specific reasons for your answer.

(a) Roll a die and record the count of spots on the up-face: P(1) = 0, P(2) = 1/6, P(3) = 1/3, P(4) = 1/3,

P(5) = 1/6, P(6) = 0.

(b) Choose a college student at random and record gender and enrollment status: P(female full-time) = 0.56, P(male full-time) = 0.44, P(female part-time) = 0.24, P(male part-time) = 0.17.

(c) Deal a card from a shuffled deck: P(clubs) = 12/52, P(diamonds) = 12/52, P(hearts) = 12/52,

P(spades) = 16/52.

Make a two-way table that displays the sample space.

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