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Refer to Exercise 6.18. Adding probabilities in the first row of the given table yields \(P(\) midsize \()=.45\), whereas from the first column, \(\mathrm{P}\left(4 \frac{3}{8}\right.\) in. grip) \(=.30\). Is the following true? $$ P\left(\text { midsize } \text { or } 4 \frac{3}{8} \text { in. grip }\right)=.45+.30=.75 $$ Explain.

Short Answer

Expert verified
Without further information on the relationship between these events, it cannot be definitively stated whether \(P(\text{midsize or } 4 \frac{3}{8} \text{ in. grip}) = .45 + .30 = .75\). The question hinges on whether the events are mutually exclusive or not.

Step by step solution

01

Understanding Mutually Exclusive Events

Two events are said to be mutually exclusive if they cannot both occur at the same time. In this case, if 'midsize' and '4 3/8 inch grip' are mutually exclusive, the probability of either event occurring would indeed be the sum of their individual probabilities.
02

Considering Overlapping Events

If the events can occur simultaneously, they are not mutually exclusive and we risk 'double counting' when we simply add the probabilities. In such a case, the probability of either event occurring is equal to the sum of individual probabilities minus the probability of both events occurring together.
03

Conclusion

To determine whether \(P(\text{midsize or } 4 \frac{3}{8} \text{ in. grip}) = .45 + .30 = .75\) is true, we need additional information about whether these events can occur at the same time. Without this information, we cannot definitively say if the provided equation is accurate.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Mutually Exclusive Events
In probability theory, understanding mutually exclusive events is crucial. These are events that cannot occur at the same time. For example, when flipping a coin, the result can only be heads or tails, not both—these outcomes are mutually exclusive.

Mathematically, if we have two mutually exclusive events, A and B, their combined probability is the sum of their individual probabilities: \( P(A \text{ or } B) = P(A) + P(B) \). This is known as the Addition Rule for Mutually Exclusive Events.

In the problem presented, the term 'midsize' and the specification '4 \frac{3}{8} inch grip' would be considered mutually exclusive if a tennis racket cannot be both simultaneously. If that's the case, then logically, the probability that a racket is either midsize or has a 4 \frac{3}{8} inch grip would indeed be the sum of their individual probabilities, 0.45 and 0.30, respectively.
Overlapping Events
Unlike mutually exclusive events, overlapping events can occur at the same time. These might be two characteristics that are not mutually exclusive, like a person who is both a teacher and a parent.

When dealing with overlapping events, the addition of their probabilities must account for their intersection to avoid double-counting. The correct formula in such cases is: \( P(A \text{ or } B) = P(A) + P(B) - P(A \cap B) \), where \( P(A \cap B) \) is the probability of both A and B occurring together.

In the context of our textbook problem, if the 'midsize' tennis rackets can sometimes have a '4 \frac{3}{8} inch grip', then the events overlap. The probability equation in question would not be correct unless we subtract the probability that a racket is both midsize and has a 4 \frac{3}{8} inch grip. Without that piece of information, we cannot ascertain the true probability of getting either a midsize racket or one with a 4 \frac{3}{8} inch grip.
Probability Theory
Probability theory is a mathematics branch that deals with the likelihood of different events occurring. It is foundational for various fields such as statistics, finance, and risk assessment.

The fundamental principle of probability is that the sum of probabilities for all possible outcomes in a space is 1. When it comes to events, probabilities range between 0 and 1, with 0 indicating an impossible event and 1 a certain one.

Understanding events as mutually exclusive or overlapping is essential in applying probability theory correctly. Students must recognize the type of events they are working with in problems, as this determines the mathematical approach to finding probabilities. The application of the correct formula, whether for mutually exclusive events or overlapping ones, leads to accurate solutions and greater comprehension of the complex scenarios that probability theory often deals with.

Essentially, good grasp of probability theory helps students not just in mathematics, but in making informed decisions based on likelihoods in everyday life.

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Most popular questions from this chapter

Of the 10,000 students at a certain university, 7000 have Visa cards, 6000 have MasterCards, and 5000 have both. Suppose that a student is randomly selected. a. What is the probability that the selected student has a Visa card? b. What is the probability that the selected student has both cards? c. Suppose you learn that the selected individual has a Visa card (was one of the 7000 with such a card). Now what is the probability that this student has both cards? d. Are the events has \(a\) Visa card and has a MasterCard independent? Explain. e. Answer the question posed in Part (d) if only 4200 of the students have both cards.

The article "SUVs Score Low in New Federal Rollover Ratings" (San Luis Obispo Tribune, January 6,2001 ) gave information on death rates for various kinds of accidents by vehicle type for accidents reported to the police. Suppose that we randomly select an accident reported to the police and consider the following events: \(R=\) event that the selected accident is a single-vehicle rollover, \(F=\) event that the selected accident is a frontal collision, and \(D=\) event that the selected accident results in a death. Information in the article indicates that the following probability estimates are reasonable: \(P(R)=.06, P(F)=.60\), \(P(R \mid D)=.30, P(F \mid D)=.54\).

At a large university, the Statistics Department has tried a different text during each of the last three quarters. During the fall quarter, 500 students used a book by Professor Mean; during the winter quarter, 300 students used a book by Professor Median; and during the spring quarter, 200 students used a book by Professor Mode. A survey at the end of each quarter showed that 200 students were satisfied with the text in the fall quarter, 150 in the winter quarter, and 160 in the spring quarter. a. If a student who took statistics during one of these three quarters is selected at random, what is the probability that the student was satisfied with the textbook? b. If a randomly selected student reports being satisfied with the book, is the student most likely to have used the book by Mean, Median, or Mode? Who is the least likely author? (Hint: Use Bayes' rule to compute three probabilities.)

A single-elimination tournament with four players is to be held. In Game 1 , the players seeded (rated) first and fourth play. In Game 2, the players seeded second and third play. In Game 3 , the winners of Games 1 and 2 play, with the winner of Game 3 declared the tournament winner. Suppose that the following probabilities are given: \(P(\) seed 1 defeats seed 4\()=.8\) \(P(\) seed 1 defeats seed 2\()=.6\) \(P(\) seed 1 defeats seed 3\()=.7\) \(P(\) seed 2 defeats seed 3\()=.6\) \(P(\) seed 2 defeats seed 4\()=.7\) \(P(\) seed 3 defeats seed 4\()=.6\) a. Describe how you would use a selection of random digits to simulate Game 1 of this tournament. b. Describe how you would use a selection of random digits to simulate Game 2 of this tournament. c. How would you use a selection of random digits to simulate Game 3 in the tournament? (This will depend on the outcomes of Games 1 and 2.) d. Simulate one complete tournament, giving an explanation for each step in the process. e. Simulate 10 tournaments, and use the resulting information to estimate the probability that the first seed wins the tournament. f. Ask four classmates for their simulation results. Along with your own results, this should give you information on 50 simulated tournaments. Use this information to estimate the probability that the first seed wins the tournament. g. Why do the estimated probabilities from Parts (e) and (f) differ? Which do you think is a better estimate of the true probability? Explain.

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