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91Ó°ÊÓ

A multiple-choice question on a test has five answers. If Dianne chooses one answer based on "pure guess," what is the probability that her answer is a. correct? b. wrong?

Short Answer

Expert verified
The probability that her answer is correct is \(\frac{1}{5}\) and the probability that her answer is wrong is \(\frac{4}{5}\).

Step by step solution

01

Calculate the Probability of Guessing Correctly

The probability of an event is calculated by dividing the number of successful outcomes by the total number of possible outcomes. Since there are five options and only one is correct, the probability of guessing correctly is \(\frac{1}{5}\).
02

Calculate the Probability of Guessing Incorrectly

The probability of guessing incorrectly is found by subtracting the probability of guessing correctly from 1, since the sum of probabilities for all possible outcomes of an event equals 1. Therefore, the probability of guessing incorrectly is \(1 - \frac{1}{5} = \frac{4}{5}\).

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Key Concepts

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

Multiple-Choice Questions
Multiple-choice questions are a type of assessment where you are given several answer options and need to pick the correct one. These types of questions are common in exams and quizzes because they can evaluate your knowledge across various subjects fairly quickly. However, when you don't know the answer, guessing might seem like the only option. Typically, a multiple-choice question includes:
  • A question or statement
  • Several possible answers (options), usually labeled A, B, C, etc.
  • Only one correct answer among those options
For example, in a question with five answer choices, like the one Dianne faces, having the correct answer relies not just on knowledge but also on probability when guessing.
Successful Outcomes
A successful outcome in the context of a multiple-choice question occurs when you correctly select the answer from a set of choices. This means for a possible event, such as picking an answer, the successful outcome is picking the right one. In Dianne's case, if she has five options (A, B, C, D, E) and only one is correct, then the number of successful outcomes is 1. Success in this context doesn't mean achieving a high score overall but rather picking the correct answer for a given question. This forms the basis for calculating probabilities, as these are built on the foundation of counting successful outcomes.
Probability of an Event
The probability of an event is a way to measure the likelihood of that event occurring. It's expressed as a fraction or percentage, representing the ratio of successful outcomes to the total possible outcomes. The general formula for the probability of an event (A) is:\[ P(A) = \frac{\text{Number of successful outcomes}}{\text{Total number of possible outcomes}} \]Applying this to Dianne's multiple-choice question:
  • There is 1 successful outcome (the correct answer)
  • The total number of possible outcomes is 5 (the options)
This gives us a probability of \( \frac{1}{5} \) for a correct guess. This simple fraction effectively tells us the likelihood of Dianne picking the exact right answer by guessing. Probabilities can provide insights into how likely particular outcomes are and guide decisions even when relying on guesses.
Incorrect Answers
Incorrect answers in a multiple-choice question are those that do not match the correct answer. If you pick any of these, your choice is wrong. Calculating the probability of picking an incorrect answer involves a simple subtraction from the total probability of all outcomes, which equals 1. In our example with Dianne:
  • The probability of selecting the correct answer is \( \frac{1}{5} \).
  • The probability of all possible outcomes (getting it right or wrong) collectively is always 1.
Thus, the probability of Dianne picking an incorrect answer is:\[ 1 - \frac{1}{5} = \frac{4}{5} \]This means there's a much greater chance she will choose incorrectly if she is guessing. Recognizing this helps in understanding risk, and in test-taking, knowing when to make an educated guess or deducing answers through other questions.

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Most popular questions from this chapter

How is the addition rule of probability for two mutually exclusive events different from the rule for two mutually nonexclusive events?

A company is to hire two new employees. They have prepared a final list of eight candidates, all of whom are equally qualified. Of these eight candidates, five are women. If the company decides to select two persons randomly from these eight candidates, what is the probability that both of them are women? Draw a tree diagram for this problem.

A random sample of 80 lawyers was taken, and they were asked if they are in favor of or against capital punishment. The following table gives the two-way classification of their responses. $$\begin{array}{lcc} \hline & \begin{array}{c} \text { Favors Capital } \\ \text { Punishment } \end{array} & \begin{array}{c} \text { Opposes Capital } \\ \text { Punishment } \end{array} \\ \hline \text { Male } & 32 & 24 \\ \text { Female } & 13 & 11 \\ \hline \end{array}4\( a. If one lawyer is randomly selected from this group, find the probability that this lawyer i. favors capital punishment ii. is a female iii. opposes capital punishment given that the lawyer is a female iv. is a male given that he favors capital punishment \)\mathrm{v}\(. is a female and favors capital punishment vi. opposes capital punishment \)o r$ is a male b. Are the events "female" and "opposes capital punishment" independent? Are they mutually exclusive? Explain why or why not.

A random sample of 400 college students was asked if college athletes should be paid. The following table gives a two-way classification of the responses. $$\begin{array}{lcc} \hline & \text { Should Be Paid } & \text { Should Not Be Paid } \\ \hline \text { Student athlete } & 90 & 10 \\ \text { Student nonathlete } & 210 & 90 \end{array}$$ a. If one student is randomly selected from these 400 students, find the probability that this student i. is in favor of paying college athletes ii. favors paying college athletes given that the student selected is a nonathlete iii. is an athlete and favors paying student athletes iv. is a nonathlete or is against paying student athletes b. Are the events "student athlete" and "should be paid" independent? Are they mutually exclusive? Explain why or why not.

Consider the following games with two dice. a. A gambler is going to roll a die four times. If he rolls at least one 6, you must pay him \(\$ 5 .\) If he fails to roll a 6 in four tries, he will pay you \(\$ 5\). Find the probability that you must pay the gambler. Assume that there is no cheating. b. The same gambler offers to let you roll a pair of dice 24 times. If you roll at least one double 6 , he will pay you \(\$ 10\). If you fail to roll a double 6 in 24 tries, you will pay him \(\$ 10\). The gambler says that you have a better chance of winning because your probability of success on each of the 24 rolls is \(1 / 36\) and you have 24 chances. Thus, he says, your probability of winning \(\$ 10\) is \(24(1 / 36)=2 / 3\). Do you agree with this analysis? If so, indicate why. If not, point out the fallacy in his argument, and then find the correct probability that you will win.

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