Three fair coins are tossed and either heads(H) or tails(T) are observed for each coin.

  1. List the sample points for the experiment.
  2. Assign probabilities to the sample points.
  3. Determine the probability of observing each of the following events:

A= {Three heads are observed}

B= {Exactly two heads are observed}

C= {At least two heads are observed}

Short Answer

Expert verified
  1. (H,H,H), (H,T,H), (H,H,T), (T,H,H), (T, T, H), (H, T, T), (H, T, H), (T, T, T)
  2. Assigned to table below
  3. P(A)=18,P(B)=38,P(C)=12

Step by step solution

01

Listing the sample points for experiment

While tossing a fair coin 3 times, the number of total outcomes will be equal to 23 = 8. Let us denote H for observing a head and T for observing a tail,

Therefore, the Sample points are=H,H,H,H,T,H,H,H,T,T,H,H,T,T,H,H,T,T,H,T,H,T,T,T

02

Assigning probabilities to sample points

03

Determining the probability of event A, B and C

A=Three heads are observed

One observes three heads on the coin only once, n(A) = 1, n(S) = total number of outcomes = 8

localid="1662212971078" P(A)=FavourablenumberofoutcomesTotalnumberofoutcomes=n(A)n(S)=18

Therefore, the probability of getting 3 heads is 18 .

B=Exactly two heads are observed

One observes exactly two heads (H, H, T), (H, T, H), and (T, H, H), thus n (B) = 3, n(S) = total number of outcomes = 8

localid="1662213016079" P(B)=FavourablenumberofoutcomesTotalnumberofoutcomes=n(B)n(S)=38

Therefore, the probability of getting exactly 2 heads is 38.

C= At least two heads are observed.

One observes at least 2 heads (H,H,T), (H,T,H), and (T,H,H), and (H,H,H), thus n(A) = 4, n(S) = total number of outcomes = 8.

localid="1662213070863" P(C)=FavourablenumberofoutcomesTotalnumberofoutcomes=n(C)n(S)=48=12

Therefore, the probability of getting at least 2 heads is12.

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Most popular questions from this chapter

Suppose the events B1,B2,B3 are mutually exclusive and complementary events, such thatP(B1)=0.2, P(B2)=0.4and P(B3)=0.5. Consider another event A such thatP(AB1)=P(AB2)=0.1andP(AB3)=0.2Use Baye’s Rule to find

a.P(B1A)

b.PB2A

c.role="math" localid="1658214716845" P(B3A)

Exit poll candidates and voters.In an exit poll, 45% of voters said that the main issue affecting their choice of candidates was the economy, 35% said national security, and the remaining 20% were not sure. Suppose we select one of the voters who participated in the exit poll at random and ask for the main issue affecting his or her choice of candidates.

  1. List the sample points for this experiment.
  2. Assign reasonable probabilities to the sample points.
  3. What is the probability that the main issue affecting randomly selected voters’ choice was either the economy or national security?

Encoding variability in software. At the 2012 Gulf Petrochemicals and Chemicals Association (GPCA) Forum, Oregon State University software engineers presented a paper on modelling and implementing variation in computer software. The researchers employed the compositional choice calculus (CCC)—a formal language for representing, generating, and organizing variation in tree-structured artefacts. The CCC language was compared to two other coding languages—the annotative choice calculus (ACC) and the computational feature algebra (CFA). Their research revealed the following: Any type of expression (e.g., plain expressions, dimension declarations, or lambda abstractions) found in either ACC or CFA can be found in CCC; plain expressions exist in both ACC and CFA; dimension declarations exist in ACC, but not CFA; lambda abstractions exist in CFA, but not ACC. Based on this information, draw a Venn diagram illustrating the relationships among the three languages. (Hint: An expression represents a sample point in the Venn diagram.)

Chance of winning at “craps.” A version of the dice game“craps” is played in the following manner. A player starts by rolling two balanced dice. If the roll (the sum of the two numbers showing on the dice) results in a 7 or 11, the player wins. If the roll results in a 2 or a 3 (called craps), the player loses. For any other roll outcome, the player continues to throw the dice until the original roll outcome recurs (in which case the player wins) or until a 7 occurs

(in which case the player loses).

a. What is the probability that a player wins the game on the first roll of the dice?

b. What is the probability that a player loses the game on the first roll of the dice?

c. If the player throws a total of 4 on the first roll, what is the probability that the game ends (win or lose) on the next roll?

Stock market participation and IQ.Refer to The Journal of Finance(December 2011) study of whether the decisionto invest in the stock market is dependent on IQ, Exercise3.46 (p. 182). The summary table giving the number ofthe 158,044 Finnish citizens in each IQ score/investment category is reproduced below. Again, suppose one of the citizens is selected at random.

IQ Score

Invest in Market

No Investment

Totals

1

2

3

4

5

6

7

8

9

893

1,340

2,009

5,358

8,484

10,270

6,698

5,135

4,464

4,659

9,409

9,993

19,682

24,640

21,673

11,260

7,010

5,067

5,552

10,749

12,002

25,040

33,124

31,943

17,958

12,145

9,531

Totals

44,651

113,393

158,044

Source:Based on M. Grinblatt, M. Keloharju, and J. Linnainaa, “IQ and Stock Market Participation,” The Journal of Finance, Vol. 66, No. 6, December 2011 (data from Table 1 and Figure 1).

a.Given that the Finnish citizen has an IQ score of 6 or higher, what is the probability that he/she invests in the stock market?

b.Given that the Finnish citizen has an IQ score of 5 or lower, what is the probability that he/she invests in the stock market?

c.Based on the results, parts a and b, does it appear that investing in the stock market is dependent on IQ? Explain.

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