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魅影直播

Chance of winning at 鈥渃raps.鈥 A version of the dice game鈥渃raps鈥 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?

Short Answer

Expert verified
  1. The probability for wins is 0.222.
  2. The probability for loss is 0.08.
  3. The probability of wins or loses is 0.25.

Step by step solution

01

Important formula

The formula for probability isP=favourableoutcomestotaloutcomes

02

The probability that a player wins the game on the first roll of the dice.

The 2 balanced dice are rolled by a player according to information. A player wins if the rolls is 7 or 11, the player loses if the roll is 2 or 3. Other than a 7 or a recurrence of the original outcomes, the player keeps throwing the dice.

The events are

P(2)={1,1}

P(3)={1,2}, {2,1}

P(4)={1,3}, {2,2},{3,1}

P(5)={1,4}, {2,3}, {3,2}, {4,1}

P(6)={1,5}, {2,4},{3,3},{4,2},{5,1}

P(7)={1,6},{2,5},{3,4},{4,3},{5,2},{6,1}

P(8)= {2,6},{3,5},{4,4},{5,3},{6,2}

P(9)={3,6},{4,5},{5,4},{6,3}

P(10)={4,6},{5,5},{6,4}

P(11)={5,6},{6,5}

P(12)={6,6}

P(WINS)=P(7)+P(11)=636+236=0.222

Hence, the probability of wins is 0.222.

03

The probability that a player loses the game on the first roll of the dice.

P(loss)=P(2)+P(3)=136+236=0.08

Thus, the probability for loss is 0.08.

04

what is the probability that the game ends (win or lose) on the next roll.

P(winorloss)=P(4)+P(7)=336+636=0.25

Therefore, the probability of wins or loses is 0.25.

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Most popular questions from this chapter

For two events, A and B, P(A)= .4, P(B)= .2 , and P(AB) = .1:

a. Find P (A/B).

b. Find P(B/A).

c. Are A and B independent events?

Confidence of feedback information for improving quality. In the semiconductor manufacturing industry, a key to improved quality is having confidence in the feedback generated by production equipment. A study of the confidence level of feedback information was published in Engineering Applications of Artificial Intelligence(Vol. 26, 2013). At any point in time during the production process, a report can be generated. The report is classified as either 鈥淥K鈥 or 鈥渘ot OK.鈥 Let Arepresent the event that an 鈥淥K鈥 report is generated in any time period (t).Let Brepresent the event that an 鈥淥K鈥 report is generated in the next time period. Consider the following probabilities:

P(A)=0.8,PBA=0.9, andPBAC=0.5.

a. Express the event B|Ain the words of the problem.

b. Express the event B|ACin the words of the problem.

c. FindP(AC).

d. FindP(AB).

e. FindP(ACB).

f. Use the probabilities, parts d and e, to find P(B).

g. Use Bayes鈥 Rule to find P(A|B), i.e., the probability that an 鈥淥K鈥 report was generated in one time period(t), given that an 鈥淥K鈥 report is generated in the next time period(t+1).

The outcomes of two variables are (Low, Medium, High) and (On, Off), respectively. An experiment is conducted in which the outcomes of each of the two variables are observed. The accompanying two-way table gives the probabilities associated with each of the six possible outcome pairs.

Low

Medium

High

On

.50

.10

.05

Off

.25

.07

.03

Consider the following events:

A: {On}

B: {Medium or on}

C: {Off and Low}

D: {High}

a. Find P (A).

b. Find P (B).

c. Find P (C).

d. Find P (D).

e. FindP(AC).

f. FindP(AB).

g. FindP(AB).

h. Consider each pair of events (A and B, A and C, A and D, B and C, B and D, C and D). List the pairs of events that are mutually exclusive. Justify your choices.

A pair of fair dice is tossed. Define the following events:

A: [Exactly one of the dice shows a 1.]

B: [The sum of the numbers on the two dice is even.]

a. Identify the sample points in the events A,B,AB,AB,andAc.

b. Find the probabilities of all the events from part a by summing the probabilities of the appropriate sample points.

C. Using your result from part b, explain why A and B are not mutually exclusive.

d. Find P(AB) using the additive rule. Is your answer the same as in part b?

Characteristics of a new product. The long-run success of a business depends on its ability to market products with superior characteristics that maximize consumer satisfaction and that give the firm a competitive advantage (Kotler & Keller, Marketing Management, 2015). Ten new products have been developed by a food-products firm. Market research has indicated that the 10 products have the characteristics described by the following Venn diagram:

  1. Write the event that a product possesses all the desired characteristics as an intersection of the events defined in the Venn diagram. Which products are contained in this intersection?
  2. If one of the 10 products were selected at random to be marketed, what is the probability that it would possess all the desired characteristics?
  3. Write the event that the randomly selected product would give the firm a competitive advantage or would satisfy consumers as a union of the events defined in the Venn diagram. Find the probability of this union.
  4. Write the event that the randomly selected product would possess superior product characteristics and satisfy consumers. Find the probability of this intersection.
  5. Two of the 10 products will be selected for an ad campaign. How many different pairs of products are possible?
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