Let's eat: A fast-food restaurant chain has 603 outlets in the United States. The following table categorizes them by city population size and location, and presents the number of restaurants in each category. A restaurant is to be chosen at random from the 603 to test market a new menu. Round your answers to four decimal places.

(a) Given that the restaurant is located in a city with a population over 500000, what is the probability that it is in the Northeast?

(b) Given that the restaurant is located in the Southeast, what is the probability that it is in a city with a population under 500000?

(c) Given that the restaurant is located in the Southwest, what is the probability that it is in a city with a population of 500000 or less?

(d) Given that the restaurant is located in a city with a population of 500000 or less, what is the probability that it is in the Southwest?

(e) Given that the restaurant is located in the South (either SE or SW), what is the probability that it is in a city with a population of 500000 or more?

5 answers

To solve these problems, we need to categorize the 603 fast-food outlets by their population sizes and locations, which we have not been provided directly. Therefore, let’s assume a hypothetical distribution for the sake of explanation and calculation. Let's say we have the following distribution of restaurants:

| Region | Population ≤ 500,000 | Population > 500,000 | Total | |--------------|-----------------------|-----------------------|-------| | Northeast | 50 | 100 | 150 | | Southeast | 100 | 50 | 150 | | Southwest | 80 | 20 | 100 | | West | 100 | 20 | 120 | | Total | 430 | 290 | 603 |

Now let's answer each question step by step.

(a) Given that the restaurant is located in a city with a population over 500,000, what is the probability that it is in the Northeast?

Total outlets in cities with population > 500,000: \( 290 \)

Northeast outlets in cities with population > 500,000: \( 100 \)

Probability: \[ P(\text{Northeast} | \text{Population} > 500,000) = \frac{100}{290} \approx 0.3448 \]

(b) Given that the restaurant is located in the Southeast, what is the probability that it is in a city with a population under 500,000?

Total outlets in the Southeast: \( 150 \)

Southeast outlets in cities with population ≤ 500,000: \( 100 \)

Probability: \[ P(\text{Population} \leq 500,000 | \text{Southeast}) = \frac{100}{150} \approx 0.6667 \]

(c) Given that the restaurant is located in the Southwest, what is the probability that it is in a city with a population of 500,000 or less?

Total outlets in the Southwest: \( 100 \)

Southwest outlets in cities with population ≤ 500,000: \( 80 \)

Probability: \[ P(\text{Population} \leq 500,000 | \text{Southwest}) = \frac{80}{100} = 0.8000 \]

(d) Given that the restaurant is located in a city with a population of 500,000 or less, what is the probability that it is in the Southwest?

Total outlets in cities with population ≤ 500,000: \( 430 \)

Southwest outlets in cities with population ≤ 500,000: \( 80 \)

Probability: \[ P(\text{Southwest} | \text{Population} \leq 500,000) = \frac{80}{430} \approx 0.1860 \]

(e) Given that the restaurant is located in the South (either SE or SW), what is the probability that it is in a city with a population of 500,000 or more?

Total outlets in the South: \( 150 + 100 = 250 \)

Outlets in the South in cities with population > 500,000: \( 50 + 20 = 70 \)

Probability: \[ P(\text{Population} > 500,000 | \text{South}) = \frac{70}{250} = 0.2800 \]

Summary of Results:

  • (a) \( 0.3448 \)
  • (b) \( 0.6667 \)
  • (c) \( 0.8000 \)
  • (d) \( 0.1860 \)
  • (e) \( 0.2800 \)

Note: Please replace the hypothetical distribution with the actual data for accurate calculations and results.

Region
Population of City NE SE SW NW
Under 50000 32 39 20 3
50000-500000 63 93 69 30
Over 500000 151 22 27 54

Answer the questions again

Using the provided data, we can summarize the number of outlets in each category by region (NE, SE, SW, NW) and population size:

\[ \begin{array}{|c|c|c|c|c|c|} \hline \text{Population of City} & \text{NE} & \text{SE} & \text{SW} & \text{NW} & \text{Total} \ \hline \text{Under 50,000} & 32 & 39 & 20 & 3 & 94 \ \text{50,000 - 500,000} & 63 & 93 & 69 & 30 & 255 \ \text{Over 500,000} & 151 & 22 & 27 & 54 & 254 \ \hline \text{Total} & 246 & 154 & 116 & 87 & 603 \ \hline \end{array} \]

Now we can answer each question using the data:

(a) Given that the restaurant is located in a city with a population over 500,000, what is the probability that it is in the Northeast?

Total outlets in cities with population > 500,000: \[ 151 + 22 + 27 + 54 = 254 \]

Northeast outlets in cities with population > 500,000: \[ 151 \]

Probability: \[ P(\text{Northeast} | \text{Population} > 500,000) = \frac{151}{254} \approx 0.5945 \]

(b) Given that the restaurant is located in the Southeast, what is the probability that it is in a city with a population under 500,000?

Total outlets in the Southeast: \[ 39 + 93 + 22 = 154 \]

Southeast outlets in cities with population under 500,000: \[ 39 + 93 = 132 \]

Probability: \[ P(\text{Population} \leq 500,000 | \text{Southeast}) = \frac{132}{154} \approx 0.8571 \]

(c) Given that the restaurant is located in the Southwest, what is the probability that it is in a city with a population of 500,000 or less?

Total outlets in the Southwest: \[ 20 + 69 + 27 = 116 \]

Southwest outlets in cities with population ≤ 500,000: \[ 20 + 69 = 89 \]

Probability: \[ P(\text{Population} \leq 500,000 | \text{Southwest}) = \frac{89}{116} \approx 0.7655 \]

(d) Given that the restaurant is located in a city with a population of 500,000 or less, what is the probability that it is in the Southwest?

Total outlets in cities with population ≤ 500,000: \[ 94 + 255 = 349 \]

Southwest outlets in cities with population ≤ 500,000: \[ 20 + 69 = 89 \]

Probability: \[ P(\text{Southwest} | \text{Population} \leq 500,000) = \frac{89}{349} \approx 0.2553 \]

(e) Given that the restaurant is located in the South (either SE or SW), what is the probability that it is in a city with a population of 500,000 or more?

Total outlets in the South (SE and SW): \[ 154 + 116 = 270 \]

Outlets in the South in cities with population > 500,000: \[ 22 + 27 = 49 \]

Probability: \[ P(\text{Population} > 500,000 | \text{South}) = \frac{49}{270} \approx 0.1815 \]

Summary of Results:

  • (a) 0.5945
  • (b) 0.8571
  • (c) 0.7655
  • (d) 0.2553
  • (e) 0.1815

These probabilities have been rounded to four decimal places as requested.

A is the only correct answer you have

Let's re-evaluate the calculations step-by-step using the provided data and ensuring all probability calculations are correct.

Given Data Table:

\[ \begin{array}{|c|c|c|c|c|c|} \hline \text{Population of City} & \text{NE} & \text{SE} & \text{SW} & \text{NW} & \text{Total} \ \hline \text{Under 50,000} & 32 & 39 & 20 & 3 & 94 \ \text{50,000 - 500,000} & 63 & 93 & 69 & 30 & 255 \ \text{Over 500,000} & 151 & 22 & 27 & 54 & 254 \ \hline \text{Total} & 246 & 154 & 116 & 87 & 603 \ \hline \end{array} \]

Total Breakdown:

  • Total outlets: 603
  • Total outlets with Population ≤ 500,000: 349 (from under 50,000 + 50,000-500,000)
  • Total outlets with Population > 500,000: 254

Now let's go through each question again carefully.

(a) Given that the restaurant is located in a city with a population over 500,000, what is the probability that it is in the Northeast?

Northeast outlets with population > 500,000: 151
Total outlets with population > 500,000: 254

Probability: \[ P(\text{Northeast} | \text{Population} > 500,000) = \frac{151}{254} \approx 0.5945 \]

(b) Given that the restaurant is located in the Southeast, what is the probability that it is in a city with a population under 500,000?

Total outlets in the Southeast: 154
Southeast outlets with population under 500,000: 39 + 93 = 132

Probability: \[ P(\text{Population} \leq 500,000 | \text{Southeast}) = \frac{132}{154} \approx 0.8571 \]

(c) Given that the restaurant is located in the Southwest, what is the probability that it is in a city with a population of 500,000 or less?

Total outlets in the Southwest: 116
Southwest outlets with population ≤ 500,000: 20 + 69 = 89

Probability: \[ P(\text{Population} \leq 500,000 | \text{Southwest}) = \frac{89}{116} \approx 0.7655 \]

(d) Given that the restaurant is located in a city with a population of 500,000 or less, what is the probability that it is in the Southwest?

Total outlets with population ≤ 500,000: 349
Southwest outlets with population ≤ 500,000: 89

Probability: \[ P(\text{Southwest} | \text{Population} \leq 500,000) = \frac{89}{349} \approx 0.2553 \]

(e) Given that the restaurant is located in the South (either SE or SW), what is the probability that it is in a city with a population of 500,000 or more?

Total outlets in the South (SE + SW): 154 + 116 = 270
Outlets in the South with population > 500,000: 22 + 27 = 49

Probability: \[ P(\text{Population} > 500,000 | \text{South}) = \frac{49}{270} \approx 0.1815 \]

Summary of Results:

  1. (a) 0.5945
  2. (b) 0.8571
  3. (c) 0.7655
  4. (d) 0.2553
  5. (e) 0.1815

Based on the reevaluation, it appears that the initial information I provided was correct as calculated according to your data. If there are specific values or concepts that are not correct, please provide clarification so I can address those accurately.