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Use the following information to answer the next ten exercises. On a baseball team, there are infielders and outfielders. Some players are great hitters, and some players are not great hitters. Let I = the event that a player in an infielder. Let O = the event that a player is an outfielder. Let H = the event that a player is a great hitter. Let N = the event that a player is not a great hitter Write the symbols for the probability that a player is an outfielder and is a great hitter.

Short Answer

Expert verified
\( P(O \cap H) \)

Step by step solution

01

Identify the Events

First, identify the relevant events from the problem description. We have four events: I (infielder), O (outfielder), H (great hitter), and N (not a great hitter). For this exercise, we are interested in the events O and H.
02

Determine the Intersection of Events

Since we want the probability of a player being an outfielder and a great hitter, we need to find the intersection of the events O and H. Intersection in probability is represented by both events occurring simultaneously.
03

Write the Probability Expression

The probability of both events occurring is represented using the intersection notation. Thus, the probability of a player being an outfielder and a great hitter is represented as \( P(O \cap H) \).

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Key Concepts

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

Intersection of Events
Probabilities often deal with the likelihood of multiple events happening together. When we talk about the intersection of events in probability, we're referring to situations where two or more events occur simultaneously.
For example, consider two events: one that a baseball player is an outfielder (O), and another that the player is a great hitter (H). The intersection of these two events, denoted as \( O \cap H \), includes all players who are both outfielders and great hitters.
In simpler terms, the intersection of events narrows down the possibilities to only those that satisfy all conditions being considered. It’s a handy way to focus your attention on events that share common traits.
  • Intersection is about finding common ground between events.
  • It’s denoted by \( \cap \), a symbol similar to an upside-down "U".
  • Understanding intersections helps in calculating more complex probabilities.
Conditional Probability
Conditional probability involves finding the probability of an event, given that another event has already occurred. This concept helps us understand how existing information can influence the likelihood of future events.
In our baseball team scenario, we might be interested in knowing the probability that a player is a great hitter (H), given that they are already an outfielder (O). This would be represented as \( P(H|O) \), which reads as "the probability of H given O."
It showcases the dependency of one event happening in the context of another event having occurred.
  • Conditional probability is denoted by the symbol "|" (vertical bar).
  • It answers probability questions within a specific context or condition.
  • It is a crucial concept for refining event predictions based on known criteria.
Probability Notation
Probability notation uses symbols and letters to concisely describe different probability scenarios and expressions. This standardized form of writing makes complex probability concepts easier to understand.
For instance, when we want to denote the probability of an event such as a player being a great hitter, we might simply write \( P(H) \). Similarly, for the intersection of being an outfielder and a great hitter, we use \( P(O \cap H) \).
Using these symbols helps simplify communication in probability, making it easier to follow intricate calculations and reasoning.
  • \( P(\cdot) \) denotes the probability of an event.
  • Intersection is shown by \( \cap \), and union by \( \cup \).
  • Notations allow for clear expression of multi-event probabilities.

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Most popular questions from this chapter

Use the following information to answer the next two exercises. You see a game at a local fair. You have to throw a dart at a color wheel. Each section on the color wheel is equal in area. Let B = the event of landing on blue. Let R = the event of landing on red. Let G = the event of landing on green. Let Y = the event of landing on yellow. If you land on Y, you get the biggest prize. Find P(Y).

Use the following information to answer the next seven exercises. An article in the New England Journal of Medicine, reported about a study of smokers in California and Hawaii. In one part of the report, the self-reported ethnicity and smoking levels per day were given. Of the people smoking at most ten cigarettes per day, there were 9,886 African Americans, 2,745 Native Hawaiians, 12,831 Latinos, 8,378 Japanese Americans, and 7,650 Whites. Of the people smoking 11 to 20 cigarettes per day, there were 6,514 African Americans, 3,062 Native Hawaiians, 4,932 Latinos, 10,680 Japanese Americans, and 9,877 Whites. Of the people smoking 21 to 30 cigarettes per day, there were 1,671 African Americans, 1,419 Native Hawaiians, 1,406 Latinos, 4,715 Japanese Americans, and 6,062 Whites. Of the people smoking at least 31 cigarettes per day, there were 759 African Americans, 788 Native Hawaiians, 800 Latinos, 2,305 Japanese Americans, and 3,970 Whites. Find the probability that the person was Latino.

After Rob Ford, the mayor of Toronto, announced his plans to cut budget costs in late 2011, the Forum Research polled 1,046 people to measure the mayor’s popularity. Everyone polled expressed either approval or disapproval. These are the results their poll produced: • In early 2011, 60 percent of the population approved of Mayor Ford’s actions in office. • In mid-2011, 57 percent of the population approved of his actions. • In late 2011, the percentage of popular approval was measured at 42 percent. a. What is the sample size for this study? b. What proportion in the poll disapproved of Mayor Ford, according to the results from late 2011? c. How many people polled responded that they approved of Mayor Ford in late 2011? d. What is the probability that a person supported Mayor Ford, based on the data collected in mid-2011? e. What is the probability that a person supported Mayor Ford, based on the data collected in early 2011?

The following table of data obtained from www.baseball-almanac.com shows hit information for four players. Suppose that one hit from the table is randomly selected. $$\begin{array}{|l|l|l|l|l|}\hline \text { Name } & {\text { single }} & {\text { Double }} & {\text { Triple }} & {\text { Home Run }} & {\text { Total Hits }} \\ \hline \text { Babe Ruth } & {1,517} & {506} & {136} & {714} & {2,873} \\ \hline \text { Jackie Robinson } & {1,054} & {273} & {54} & {137} & {1,518} \\ \hline \text { Ty Cobb } & {3,603} & {174} & {295} & {114} & {4,189} \\ \hline \text { Hank Aaron } & {2,294} & {624} & {98} & {755} & {3,771} \\ \hline\end{array}$$ Are "the hit being made by Hank Aaron" and "the hit being a double" independent events? a. Yes, because P(hit by Hank Aaron|hit is a double) = P(hit by Hank Aaron) b. No, because P(hit by Hank Aaron|hit is a double) ? P(hit is a double) c. No, because P(hit is by Hank Aaron|hit is a double) ? P(hit by Hank Aaron) d. Yes, because P(hit is by Hank Aaron|hit is a double) = P(hit is a double)

Use the following information to answer the next ten exercises. On a baseball team, there are infielders and outfielders. Some players are great hitters, and some players are not great hitters. Let I = the event that a player in an infielder. Let O = the event that a player is an outfielder. Let H = the event that a player is a great hitter. Let N = the event that a player is not a great hitter Write the symbols for the probability that a player is an infielder, given that the player is a great hitter.

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