One vear consumers spent an average of $22 on a meal at a resturant. Assume that the amount spent on a resturant meal is normally distributed and that the standard deviation is $5. Complete parts (a) through (c) below a. What is the probability that a randomly selected person spent more than $24? P(X> $24) = 0.3446 (Round to four decimal places as needed.) b. What is the probability that a randomly selected person spent between $8 and $19? P($8
One vear consumers spent an average of $22 on a meal at a resturant. Assume that the amount spent on a resturant meal is normally distributed and that the standard deviation is $5. Complete parts (a) through (c) below a. What is the probability that a randomly selected person spent more than $24? P(X> $24) = 0.3446 (Round to four decimal places as needed.) b. What is the probability that a randomly selected person spent between $8 and $19? P($8
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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![**Title: Understanding Probability and Normal Distribution in Restaurant Spending**
**Overview:**
This educational material explores the probability distribution of meal costs at a restaurant. Consumers spent an average of $22 on a meal. The spending is assumed to be normally distributed with a standard deviation of $5. We will examine various probabilities and intervals related to this data.
**Content:**
1. **Probability of Spending More Than $24:**
- **Question:** What is the probability that a randomly selected person spent more than $24?
- **Solution:**
\[
P(X > \$24) = 0.3446
\]
(Rounded to four decimal places as needed)
2. **Probability of Spending Between $8 and $19:**
- **Question:** What is the probability that a randomly selected person spent between $8 and $19?
- **Solution:**
\[
P(\$8 < X < \$19) = 0.2717
\]
(Rounded to four decimal places as needed)
3. **Middle 95% Interval of Spending:**
- **Question:** Between what two values, symmetrically distributed around the mean, will the middle 95% of the amounts of cash spent fall?
- **Solution:**
The middle 95% of the amounts of cash spent will fall between \(X = \$ \_\_\_\) and \(X = \$ \_\_\_\).
(Round to the nearest cent as needed)
**Conclusion:**
These calculations demonstrate the application of the normal distribution to real-world spending scenarios, helping to predict the probability of certain spending behaviors within a given mean and standard deviation framework.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc9b9150f-6f4c-46cb-ba10-f6b4f14c68ea%2F1c2a41e9-448c-4634-a5b4-697dbdc7bdf3%2Fakihq7y_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Title: Understanding Probability and Normal Distribution in Restaurant Spending**
**Overview:**
This educational material explores the probability distribution of meal costs at a restaurant. Consumers spent an average of $22 on a meal. The spending is assumed to be normally distributed with a standard deviation of $5. We will examine various probabilities and intervals related to this data.
**Content:**
1. **Probability of Spending More Than $24:**
- **Question:** What is the probability that a randomly selected person spent more than $24?
- **Solution:**
\[
P(X > \$24) = 0.3446
\]
(Rounded to four decimal places as needed)
2. **Probability of Spending Between $8 and $19:**
- **Question:** What is the probability that a randomly selected person spent between $8 and $19?
- **Solution:**
\[
P(\$8 < X < \$19) = 0.2717
\]
(Rounded to four decimal places as needed)
3. **Middle 95% Interval of Spending:**
- **Question:** Between what two values, symmetrically distributed around the mean, will the middle 95% of the amounts of cash spent fall?
- **Solution:**
The middle 95% of the amounts of cash spent will fall between \(X = \$ \_\_\_\) and \(X = \$ \_\_\_\).
(Round to the nearest cent as needed)
**Conclusion:**
These calculations demonstrate the application of the normal distribution to real-world spending scenarios, helping to predict the probability of certain spending behaviors within a given mean and standard deviation framework.
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