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

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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.
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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