Martha Believes That The Probability Of Her Being Selected For The Lead Role In The Play Is $\frac{4}{11}$.What Is The Probability Of Her Not Being Selected?A. $\frac{4}{11}$B. $\frac{11}{4}$C. $\frac{1}{11}$D.

Feb 28, 2025 by ADMIN 211 views

**Martha's Lead Role Probability: Understanding the Odds of Not Being Selected**

Introduction

In the world of probability, understanding the odds of an event occurring is crucial in making informed decisions. In this case, Martha believes that the probability of her being selected for the lead role in a play is $\frac{4}{11}$ . However, we are interested in finding the probability of her not being selected. This is a classic example of a complementary event, where the probability of an event not occurring is equal to 1 minus the probability of the event occurring.

Understanding Complementary Events

A complementary event is an event that is the opposite of the original event. In this case, the original event is Martha being selected for the lead role, and the complementary event is Martha not being selected. The probability of a complementary event is equal to 1 minus the probability of the original event.

Calculating the Probability of Not Being Selected

To calculate the probability of Martha not being selected, we need to subtract the probability of her being selected from 1. This can be represented mathematically as:

P(not selected) = 1 - P(selected)

where P(selected) is the probability of Martha being selected, which is $\frac{4}{11}$ .

Substituting the Values

Now, let's substitute the value of P(selected) into the equation:

P(not selected) = 1 - $\frac{4}{11}$

To subtract a fraction from 1, we need to find a common denominator. In this case, the common denominator is 11. So, we can rewrite 1 as $\frac{11}{11}$ :

P(not selected) = $\frac{11}{11}$ - $\frac{4}{11}$

Simplifying the Expression

Now, let's simplify the expression by subtracting the numerators:

P(not selected) = $\frac{11-4}{11}$

P(not selected) = $\frac{7}{11}$

Conclusion

In conclusion, the probability of Martha not being selected for the lead role is $\frac{7}{11}$ . This is a classic example of a complementary event, where the probability of an event not occurring is equal to 1 minus the probability of the event occurring.

Answer

The correct answer is:

$\boxed{\frac{7}{11}}$

Discussion

This problem is a great example of how probability can be used in real-life scenarios. In this case, Martha is trying to determine the odds of her being selected for the lead role. By understanding the concept of complementary events, we can calculate the probability of her not being selected.

Solutions

The probability of the coin landing tails up is 1 minus the probability of it landing heads up, which is $\frac{1}{2}$ . So, the probability of it landing tails up is $\frac{1}{2}$ .
The probability of drawing a non-heart card is 1 minus the probability of drawing a heart, which is $\frac{13}{52}$ . So, the probability of drawing a non-heart card is $\frac{39}{52}$ .

Key Takeaways

The probability of a complementary event is equal to 1 minus the probability of the original event.
To calculate the probability of a complementary event, we need to subtract the probability of the original event from 1.
The probability of an event not occurring is equal to 1 minus the probability of the event occurring.
Martha's Lead Role Probability: Understanding the Odds of Not Being Selected ====================================================================================

Q&A: Martha's Lead Role Probability

Q: What is the probability of Martha being selected for the lead role? A: Martha believes that the probability of her being selected for the lead role is $\frac{4}{11}$ .

Q: What is the probability of Martha not being selected for the lead role? A: The probability of Martha not being selected for the lead role is $\frac{7}{11}$ .

Q: How do you calculate the probability of a complementary event? A: To calculate the probability of a complementary event, we need to subtract the probability of the original event from 1.

Q: What is the formula for calculating the probability of a complementary event? A: The formula for calculating the probability of a complementary event is:

P(not selected) = 1 - P(selected)

Q: What is the probability of an event not occurring? A: The probability of an event not occurring is equal to 1 minus the probability of the event occurring.

Q: Can you give an example of a complementary event? A: Yes, a classic example of a complementary event is flipping a coin. The probability of the coin landing heads up is $\frac{1}{2}$ , and the probability of it landing tails up is $\frac{1}{2}$ .

Q: How do you calculate the probability of an event not occurring? A: To calculate the probability of an event not occurring, we need to subtract the probability of the event occurring from 1.

Q: What is the relationship between the probability of an event and its complementary event? A: The probability of an event and its complementary event are complementary, meaning that they add up to 1.

Q: Can you give an example of a real-life scenario where probability is used? A: Yes, a real-life scenario where probability is used is in insurance. Insurance companies use probability to determine the likelihood of an event occurring, such as a car accident, and to set premiums accordingly.

Q: How do you use probability in real-life scenarios? A: Probability is used in real-life scenarios to make informed decisions, such as determining the likelihood of an event occurring and setting premiums accordingly.

Q: What are some common applications of probability? A: Some common applications of probability include:

Insurance: Probability is used to determine the likelihood of an event occurring and to set premiums accordingly.
Finance: Probability is used to determine the likelihood of an event occurring and to set investment strategies accordingly.
Medicine: Probability is used to determine the likelihood of a disease occurring and to set treatment strategies accordingly.

Q: Can you give an example of a probability problem in finance? A: Yes, a probability problem in finance is determining the likelihood of a stock price increasing or decreasing. For example, if the probability of a stock price increasing is $\frac{1}{2}$ , then the probability of it decreasing is also $\frac{1}{2}$ .

Q: How do you use probability in finance? A: Probability is used in finance to determine the likelihood of an event occurring and to set investment strategies accordingly.

Q: What are some common mistakes to avoid when using probability? A: Some common mistakes to avoid when using probability include:

Assuming that the probability of an event occurring is always $\frac{1}{2}$ .
Failing to consider the probability of complementary events.
Failing to update probabilities based on new information.

Q: Can you give an example of a probability problem in medicine? A: Yes, a probability problem in medicine is determining the likelihood of a disease occurring. For example, if the probability of a disease occurring is $\frac{1}{100}$ , then the probability of it not occurring is $\frac{99}{100}$ .

Q: How do you use probability in medicine? A: Probability is used in medicine to determine the likelihood of a disease occurring and to set treatment strategies accordingly.

Q: What are some common applications of probability in medicine? A: Some common applications of probability in medicine include:

Determining the likelihood of a disease occurring.
Setting treatment strategies accordingly.
Determining the likelihood of a patient responding to a treatment.

Q: Can you give an example of a probability problem in insurance? A: Yes, a probability problem in insurance is determining the likelihood of a car accident occurring. For example, if the probability of a car accident occurring is $\frac{1}{100}$ , then the probability of it not occurring is $\frac{99}{100}$ .

Q: How do you use probability in insurance? A: Probability is used in insurance to determine the likelihood of an event occurring and to set premiums accordingly.

Q: What are some common applications of probability in insurance? A: Some common applications of probability in insurance include:

Determining the likelihood of an event occurring.
Setting premiums accordingly.
Determining the likelihood of a claim being made.