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Grades Assume that the only grades possible in a history course are \(\mathrm{A}, \mathrm{B}, \mathrm{C}\), and lower than \(\mathrm{C}\). The probability that a randomly selected student will get an A in a certain history course is \(0.18\), the probability that a student will get a \(\mathrm{B}\) in the course is \(0.25\), and the probability that a student will get a \(\mathrm{C}\) in the course is \(0.37\). a. What is the probability that a student will get an A OR a B? b. What is the probability that a student will get an A OR a B OR a C? c. What is the probability that a student will get a grade lower than a \(\mathrm{C}\) ?

Short Answer

Expert verified
The probability that a student will get an A OR a B is 0.43, the probability that a student will get an A OR a B OR a C is 0.8 and the probability that a student will get a grade lower than a C is 0.2.

Step by step solution

01

Identify and add probabilities for getting an A or a B

We’re given that the probability of a student getting an A is \(0.18\) and the probability of getting a B is \(0.25\). Since these are mutually exclusive events, we can use the rule of addition to find the probability of a student getting either an A or a B which is \(0.18 + 0.25 = 0.43\). So, the probability of a student getting either an A or a B is \(0.43\).
02

Identify and add probabilities for getting an A or a B or a C

In addition to the probabilities identified in step 1, we also know that the probability of a student getting a C is \(0.37\). We add this to the previous total to get the probability of a student getting either an A, B, or C which is \(0.43 + 0.37 = 0.8\). Therefore, the probability of a student getting either an A, B, or [C] is \(0.8\).
03

Find the probability of getting a grade lower than a C

We know that the sum of the probabilities of all possible outcomes must equal to 1. We subtract the sum of the probabilities of getting either an A or B or C (found out in the previous step) from 1 to get the probability of a student getting a grade lower than a C. Therefore, the probability of a student getting a grade lower than a C is \(1 - 0.8 = 0.2\)

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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, events are considered mutually exclusive when they cannot happen at the same time. This means that the occurrence of one event excludes the possibility of the other occurring. Think about flipping a coin; getting heads and tails at the same time is impossible. Similarly, in the context of grades, receiving an "A" and a "B" simultaneously is not possible for a single student in the same course. Therefore, these grade outcomes are mutually exclusive events.

When dealing with mutually exclusive events like getting an "A" or a "B," you don't have to worry about overlap between events. This makes calculating the probability simpler: you just add the probabilities of each individual event. Understanding this concept is crucial for using the addition rule effectively, especially in problems where multiple outcomes are possible.
Addition Rule
The addition rule is a fundamental concept in probability used to find the likelihood of either of two mutually exclusive events occurring. For mutually exclusive events, this rule is straightforward. You simply sum up their individual probabilities.

In our example, when calculating the probability of receiving either an "A" or a "B" in the history course, you are given that the probability of getting an "A" is 0.18 and for a "B" it is 0.25. Since these two events are mutually exclusive, you can add these probabilities directly:
  • Probability of A or B = 0.18 + 0.25 = 0.43
This tells you there's a 43% chance of a student receiving either grade. Applying the addition rule helps simplify and break down problems with multiple non-overlapping outcomes into manageable parts.
Complement Rule
The complement rule is a handy tool for finding the probability of the opposite of an event. Known as the complement of an event, it simply consists of all the remaining outcomes possible in a scenario. In mathematical terms, the probability of the complement (not occurring) of event E is given by
  • \( P(E') = 1 - P(E) \)
Where \(P(E)\) is the probability of the event happening.

In the scenario with grades, where we want to know the probability of a student getting a grade lower than "C", we use the complement rule. We subtract the combined probability of receiving an "A," "B," or "C" (0.8) from 1:
  • Probability of grade lower than C = 1 - 0.8 = 0.2
This means there is a 20% chance of receiving a grade lower than a "C." The complement rule serves as a powerful tool when direct calculation seems tedious, allowing you to leverage known probabilities to deduce unknown ones.

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Most popular questions from this chapter

Which of the following numbers could not be probabilities, and why? a. \(38.4\) b. \(3.84 \%\) c. \(-3.84\) d. \(384 \%\) e. \(0.00384\)

Empirical vs. Theoretical A Monopoly player claims that the probability of getting a 4 when rolling a six-sided die is \(1 / 6\) because the die is equally likely to land on any of the six sides. Is this an example of an empirical probability or a theoretical probability? Explain.

Eye Color Some estimates say that \(60 \%\) of the population has brown eyes. We wish to design a simulation to find an empirical probability that if 10 babies are born on a single day, at least 6 will have brown eyes. Suppose we decide that the numbers \(0-4\) will represent babies with brown eyes and the numbers \(5-9\) will represent babies with eyes of other colors. Explain what is wrong with the stated simulation method, and provide a correct method.

Empirical vs. Theoretical A person was trying to understand the probability of drawing a black card from a fair deck of cards. He drew a card 20 times, and in these 20 times, a black card was drawn 12 times. On the basis of this, he claims that the probability of drawing a black card from a fair deck of cards is \(60 \%\). Is this an example of empirical probability or theoretical probability? Explain.

Independent? Suppose a person is chosen at random. Use your understanding of commercial vehicle driving to decide whether the event that the person holds a valid commercial driving license and the event that the person drives a cab are independent or associated? Explain.

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