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4. A company uses three plants to produce a new computer chip. Plant A produces 30% of the chips. Plant B produces 45% of the chips. The rest of the chips are produced by plant C. Each plant has its own defectiv rate. These are: plant A produces 3% defective chips, plant B produces 1% defective chips, plant C produces 5% defective chips. Hint: draw a tree diagram. (a) Construct a tree diagram and write the appropriate probability on each of the branches. (b) Find the probability that a randomly chosen chip is defective and from plant B. Answer: 0.0045 (c) Find the probability that a randomly chosen chip from Plant C is defective. Answer: 0.05 (d) Find the probability that a randomly chosen chip is defective. Answer: 0.026 (e) Find the probability that a randomly chosen defective chip is from plant C. (Hint: look at Example 12 on Pages 3-22 to 3-24.) Answer: 0.481 (f) Find the probability that a randomly chosen chip is not from plant A. Answer: 0.700 (g) Find the probability that a randomly chosen defective chip is not from plant A 0.654 (3.P.2) 5 . Answer:5. A multiple choice exam consists of several questions each having four choices. Joe believes there is a 70% chance of knowing the answer to any of the exam questions. If he doesnt know the answer, then we will guess and the probability of him getting that particular question correct is 1/4. What is the probability that Joe gives the correct answer to a randomly chosen question in the examination? Answer: 0.775 (3.P.5) 6. For this question, you will need to look at the figure on 3-37. (a) Find p. In terms of events, what probability does p represent? (b) Find P(A), P(B), P(C), P(D). (c) Find P(AIC). (d) Find P(B and C). (e) Find P(A or B). (3.P.6) 7. For this question, you will need to look at the figure on 3-38. (a) How many outcomes are there in the sample space? (b) Find P(A). (c) Are A and B mutually exclusive? Explain. (d) Find P(A and B and C). (e) Find P(B). (f) Find P(AIB) (g) Find P(BIA). (h) Find P(A or C). (3.TY2)(a) A student is randomly chosen from the student population. What is the probability that the student purchased five or more books during the current academic term? Answer: 0.3 (b) What is the probability that a randomly chosen student purchased five or more known that the student purchased six books? Answer: 1 books if it is c) What is the probability that a randomly chosen student purchased six books if it is known that the student purchased five or more books? Answer: 0.5 (d) Construct a histogram for this probability distribution. (4.1.3) 11. Building contractors are required by a county planning department to submit two, three, four, five, or six forms, depending on the nature of the project, when applying for a building permit. Let Y number of forms required of the next applicant. The probability that y forms are required is known to be proportional to y. Thus, P(Y y) ky for y 2,3, 4, 5, 6 and k > 0. (a) Find the value of k so that P(Y v) ky is a PDF. (PDFs are discussed in your book.) Answer: 1/20 (b) What is the probability that at most four forms are required of the next applicant? Answer: 9/20 (c) What is the probability that between two and five forms, inclusive, are required of the next applicant? Answer: 0.7 (d) Construct a histogram for this PDF. (4.1.4) 12. Two friends have arranged to meet for dinner at a restaurant. Each person arrives indepen- dently of the other, with equal probability, at one of the following times: 6:30 PM, 7:00 PM, or 7:30 PM. Let X = the time, in minutes, that the first person to arrive has to wait for the other to arrive (hint: if both parties arrive at the same time, then X takes the value 0.) (a) What is the range of X? Answer: 10, 30, 60) (b) Give the probability distribution by assigning probabilities to the values in the range of X. (c) What is the probability that they both arrive at 6:30 PM? Answer: 1/9 (d) What is the probability that the first person to arrive must wait exactly 30 minutes for the second person to arrive? Answer: 4/9 (4.1.5)13. For this problem, look at the number of books problem above. (a) Compute the expected value of X and interpret its meaning. Answer: E(X)4 (b) How many books are expected to be purchased if the enrollment is 20,000 students? Answer: Expected number of books 4-20,000 80,000 (4.2.1) 14. The casino game of American Roulette consists of a circular wheel with 38 spots. Thirty six of the spots are numbered 1, 2, 3, ..., 36. Eighteen of these numbers are colored black and the other eighteen are colored red. The remaining two spots are colored green with no number assignment. If you play a color (either red or black), the casino will pay you even odds. That is, if you play black and wager 1 dollar, you will profit 1 dollar if black comes up on that particular spin of the wheel. (a) Let X- profit or loss for one spin of the wheel when playing black. Find the expected value of X and explain what it means. Answer: $-2/38 (b) How much money is expected to be won or lost after 1,000 games where the player wagers 10 dollars per game on black? Answer: expect to lose S526.32(4.2.2) 15. You enter a raffle to win a cruise from Miami to St. Croix valued at 3,000 dollars. It costs 5 dollars to buy one ticket. You are eager to take the cruise and buy twenty tickets. Suppose 2,000 tickets are sold. (a) What is the probability that you will win the cruise? Answer: 0.01 (b) If X amount of money made or lost by entering the raffle, what is the expected value of X1 Explain the meaning of this result in terms of the 100 dollar ticket purchase. Answer:-$70 (4.2.4) 16. Let Y number of broken eggs in a carton. The probability distribution for Y is given in the table below. Note: a carton of eggs contains 12 eggs. Probability 0.7 0.15 0.06 0.05 0.04(a) Compute the expected value of Y and explain its meaning. Answer: E(Y) = 0.58 (b) If 1,000 egg cartons are inspected, what would be the expected number of broken eggs found? Answer: 580 (c) Why is it that u is not equal to (0+1+2+3+4)/5? (4.2.8) 17. A publishing company proposes to produce and market a textbook in statistics. The authors profit on the number of books sold is called a royalty. The company presents two royalty plans to the author as follows: 5 dollars per book sold or a one-time payment of 100,000 dollars. During the life of the book, projected to be about three years, the estimates for the total number of books that will be sold and their corresponding probabilities are: Y total number of books sold 15,000 21,000 27,000 36,000 0.20 0.40 0.30 0.10 Which of the two plans will produce the most profit to the author? Explain. (Ignore the time value of money.) Answer: Expected value for first plan $5-23,100 115,500. (4.2.9) 18. Young children up to two years of age are often diagnosed with otitis media, which is an infection of the middle ear. The probability distribution of the occurrence of otitis media during the first two years of life is given in the following table. X-number of occurrences | 0 1- 2 T 3 T 4 T 5 T 6 0.09 0.22 0.32 0.20 0.12 0.04 0.01 (a) What is the standard deviation of the number of occurrences of otitis media in young children? Answer: 1.319 (b) Construct a histogram of the probability distribution. (4.2.10)

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Answer #1

Let P=Probability

Let Defective =D and non-defective =Dc

4.

(a)

The probability tree diagram:

Probability e D.99

(b)

P(D and B) =P(BD) =P(B).P(D/B)=0.45(0.01)=0.0045​​​​​​

(c)

P(D/C) =0.05​​​​​​

(d)

P(D) =P(AD)+P(BD)+P(CD) =0.009+0.0045+0.0125 =0.026​​​​​

(e)

BY Baye's rule, P(C/D) =P(D/C).P(C)/P(D) =0.05(0.25)/0.026 =0.481

(f)

P(Ac) =1 - P(A) =1 - 0.30 =0.70​​​​​​

(g)

P(Ac/D) =1 - P(A/D) =1 - [P(D/A).P(A)/P(D)] =1-[0.03(0.30)/0.026] = 1-0.346 =0.654

5.

Let P=Probability

Let answer known =K. So, P(K) =0.70 and also P(KC) =0.70 because when the answer is known, it becomes correct answer only. So, the probability of knowing the answer and correct answer =0.70

Let answer is not known =Kc. So, P(Kc​​​​​​) =1 - 0.70 =0.30

Let correct answer =C

The probability of correct answer when it is unknown =P(C/Kc) =1/4 =0.25

Now, the probability of a randomly chosen question becoming a correct answer =P(C) =P(KC)+P(KcC) =0.70+P(Kc).P(C/Kc) =0.70+[0.30(0.25)] =0.70+0.075 =0.775

-010 C) I P,as

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