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Multiple choice. You take a quiz with 6 multiple choice questions. After you studied, you estimated that you would have about an \(80 \%\) chance of getting any individual question right. What are your chances of getting them all right? Use at least 20 trials.

Short Answer

Expert verified
The probability is 26.2%.

Step by step solution

01

Understand the Problem

We need to find the probability of correctly answering all 6 multiple-choice questions, where each question has an 80% chance of being answered correctly.
02

Set Up the Problem

Since each question has an independent probability of 0.8 of being correct, the probability of getting all 6 questions right is the product of the probabilities for each question.
03

Calculate the Probability

The probability of getting all questions correct is given by multiplying 0.8 (the probability of getting one question correct) by itself six times. The formula for this is: \[ P( ext{all correct}) = 0.8^6 \]
04

Compute the Result

Calculate \( 0.8^6 \) using a calculator or computation: \[ 0.8^6 = 0.262144 \]
05

Evaluate Solution

With this calculation, the probability of getting all questions correct is approximately 0.262, or 26.2%.

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Key Concepts

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

Independent Events
In probability, independent events are scenarios where the outcome of one event does not affect the outcome of another. This concept is essential when calculating probabilities over multiple trials, like in the case of a quiz with multiple choice questions.

Imagine you are tossing a coin. Whether it lands on heads or tails on the first toss does not influence what will happen on the second toss. Similarly, when you're taking a quiz, the probability of getting each question correct remains constant, regardless of your performance on other questions.

Understanding this concept is crucial because it allows us to simplify probability calculations by treating each event independently. In the case of our quiz with 6 questions, each question is an independent event with a consistent probability of being answered correctly.
Multiple Choice Questions
Multiple choice questions are a common form of assessment and they offer several potential answers, with only one correct option. In the context of probability, what makes multiple choice questions interesting is the fixed probability of getting the question right if you know the answer, or if you were guessing completely.

When you estimate your chance of answering correctly, like 80% in this case, it means that based on your knowledge and preparation, you are confident in choosing the correct answer 8 out of 10 times. This estimation plays a crucial role in determining the overall probability of passing or failing a quiz, especially if you can anticipate your performance across multiple questions.

Therefore, multiple choice questions are not just about luck; they are a blend of understanding and probability, which leads to strategic preparation and calculation.
Probability Calculation
Probability calculation is the process of determining how likely an event is to occur. It involves the use of formulas to calculate the chance of a specific outcome when certain conditions are met.

In the exercise given, we calculated the probability of answering all 6 questions correctly. Since each question is an independent event with a success probability of 0.8, the overall probability of getting all answers correct is the product of the individual probabilities.

This is mathematically represented as:
  • Probability per question = 0.8
  • Number of questions = 6
  • Overall Probability = \( 0.8^6 \)
To find \( 0.8^6 \), you multiply 0.8 by itself six times, resulting in approximately 0.262, or 26.2%.

This probability calculation helps you understand how likely it is to achieve a full score on your quiz based on your estimated probability of success on each individual question.

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Most popular questions from this chapter

More bad simulations. Explain why each of the following simulations fails to model the real situation: a) Use random numbers 2 through 12 to represent the sum of the faces when two dice are rolled. b) Use a random integer from 0 through 5 to represent the number of boys in a family of 5 children. c) Simulate a baseball player's performance at bat by letting \(0=\) an out, \(1=\) a single, \(2=\) a double, \(3=\) a triple, and \(4=\) a home run.

Wrong conclusion. A Statistics student properly simulated the length of checkout lines in a grocery store and then reported, "The average length of the line will be \(3.2\) people." What's wrong with this conclusion?

Birth defects. The American College of Obstetricians and Gynecologists says that out of every 100 babies born in the United States. 3 have some kind of major birth defect. How would you assign random numbers to conduct a simulation based on this statistic?

Blood donors. A person with type O-positive blood can receive blood only from other type \(\mathrm{O}\) donors. About \(44 \%\) of the U.S. population has type \(\mathrm{O}\) blood. At a blood drive, how many potential donors do you expect to examine in order to get three units of type \(\mathrm{O}\) blood?

Job discrimination? A company with a large sales staff announces openings for three positions as regional managers. Twenty-two of the current salespersons apply, 12 men and 10 women. After the interviews, when the company announces the newly appointed managers, all three positions go to women. The men complain of job discrimination. Do they have a case? Simulate a random selection of three people from the applicant pool, and make a decision about the likelihood that a fair process would result in hiring all women.

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