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Ch. 3 - Probability
Larson - Elementary Statistics: Picturing the World 8th Edition
Larson8th EditionElementary Statistics: Picturing the WorldISBN: 9780137493470Non è quello che usi tu?Cambia libro di testo
Capitolo 3, Problema 3.2.12

"Classifying Events as Independent or Dependent In Exercises 9-14, determine whether the events are independent or dependent. Explain your reasoning.
12. Not putting money in a parking meter and getting a parking ticket"

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Understand the definition of independent and dependent events: Independent events are those where the occurrence of one event does not affect the probability of the other event. Dependent events are those where the occurrence of one event does affect the probability of the other event.
Analyze the scenario: The two events in question are (1) not putting money in a parking meter and (2) getting a parking ticket.
Consider the relationship between the events: If you do not put money in a parking meter, it increases the likelihood of getting a parking ticket. This suggests that the occurrence of the first event directly influences the probability of the second event.
Conclude the classification: Since the occurrence of not putting money in a parking meter affects the likelihood of getting a parking ticket, these events are dependent.
Explain the reasoning: The dependency arises because the action of not paying at the parking meter creates a situation where a parking ticket is more likely to be issued, showing a causal relationship between the two events.

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Independent Events

Independent events are those whose outcomes do not affect each other. In probability, two events A and B are independent if the occurrence of A does not change the likelihood of B occurring, and vice versa. For example, flipping a coin and rolling a die are independent events because the result of one does not influence the other.
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Probability of Multiple Independent Events

Dependent Events

Dependent events are those where the outcome of one event affects the outcome of another. In probability, events A and B are dependent if the occurrence of A changes the probability of B occurring. For instance, drawing cards from a deck without replacement creates dependent events, as the first draw alters the composition of the deck for subsequent draws.
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Multiplication Rule: Dependent Events

Conditional Probability

Conditional probability refers to the probability of an event occurring given that another event has already occurred. It is denoted as P(A|B), which represents the probability of event A occurring given that event B has occurred. Understanding conditional probability is crucial for determining whether events are dependent, as it helps assess how the occurrence of one event influences the likelihood of another.
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Conditional Probability Rule
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Domanda del libro di testo

True or False? In Exercises 5 and 6, determine whether the statement is true or false. If it is false, rewrite it as a true statement.

6. If events A and B are dependent, then P(A and B) = P(A) · P(B).

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1. When you calculate the number of permutations of n distinct objects taken r at a time, what are you counting? Give an example.

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Domanda del libro di testo

"2. Give an example of

a. two events that are independent.

b. two events that are dependent."

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Domanda del libro di testo

13. Students A physics class has 40 students. Of these, 12 students are physics majors and 16 students are minoring in math. Of the physics majors, three are minoring in math. Find the probability that a randomly selected student is minoring in math or a physics major.

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Domanda del libro di testo

"Classifying Events Based on Studies In Exercises 15-18, identify the two events described in the study. Do the results indicate that the events are independent or dependent? Explain your reasoning.

15. A study was conducted to debunk the idea that abilities in music and math are related. Instead, the study showed a strong relationship between achievements in music and math.

(Source: University of Kansas)"

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Domanda del libro di testo

16. Can Defects Of the cans produced by a company, 96% do not have a puncture, 93% do not have a smashed edge, and 89.3% have neither a puncture nor a smashed edge. Find

the probability that a randomly selected can does not have a puncture or a smashed edge.

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