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Sagot :
Let's analyze the given events and data step-by-step to determine the independence of the events A and C, and A and D.
1. Total Burritos Sold:
[tex]\[ \text{Total } = 240 \][/tex]
2. Event A: The burrito is a chicken burrito.
- There are 83 chicken burritos sold.
- Probability [tex]\( P(A) \)[/tex]:
[tex]\[ P(A) = \frac{83}{240} = 0.345833 \][/tex]
3. Event C: The customer requested black beans.
- There are 45 black beans requested.
- Probability [tex]\( P(C) \)[/tex]:
[tex]\[ P(C) = \frac{45}{240} = 0.1875 \][/tex]
4. Combined Event A and C: The burrito is a chicken burrito and the customer requested black beans.
- There are 37 chicken burritos with black beans.
- Probability [tex]\( P(A \cap C) \)[/tex]:
[tex]\[ P(A \cap C) = \frac{37}{240} = 0.154167 \][/tex]
To check for independence of A and C, we compare [tex]\( P(A \cap C) \)[/tex] with [tex]\( P(A) \times P(C) \)[/tex]:
[tex]\[ \text{If } P(A \cap C) = P(A) \times P(C), \text{ then A and C are independent.} \][/tex]
Calculation:
[tex]\[ P(A) \times P(C) = 0.345833 \times 0.1875 = 0.064167 \][/tex]
Since:
[tex]\[ P(A \cap C) \neq P(A) \times P(C) \][/tex]
Events A and C are not independent.
5. Event D: The customer requested pinto beans.
- There are 72 pinto beans requested.
- Probability [tex]\( P(D) \)[/tex]:
[tex]\[ P(D) = \frac{72}{240} = 0.3 \][/tex]
6. Combined Event A and D: The burrito is a chicken burrito and the customer requested pinto beans.
- There are 30 chicken burritos with pinto beans.
- Probability [tex]\( P(A \cap D) \)[/tex]:
[tex]\[ P(A \cap D) = \frac{30}{240} = 0.125 \][/tex]
To check for independence of A and D, we compare [tex]\( P(A \cap D) \)[/tex] with [tex]\( P(A) \times P(D) \)[/tex]:
[tex]\[ \text{If } P(A \cap D) = P(A) \times P(D), \text{ then A and D are independent.} \][/tex]
Calculation:
[tex]\[ P(A) \times P(D) = 0.345833 \times 0.3 = 0.103750 \][/tex]
Since:
[tex]\[ P(A \cap D) \neq P(A) \times P(D) \][/tex]
Events A and D are not independent.
---
In summary:
- Events A and C are not independent.
- Events A and D are not independent either.
1. Total Burritos Sold:
[tex]\[ \text{Total } = 240 \][/tex]
2. Event A: The burrito is a chicken burrito.
- There are 83 chicken burritos sold.
- Probability [tex]\( P(A) \)[/tex]:
[tex]\[ P(A) = \frac{83}{240} = 0.345833 \][/tex]
3. Event C: The customer requested black beans.
- There are 45 black beans requested.
- Probability [tex]\( P(C) \)[/tex]:
[tex]\[ P(C) = \frac{45}{240} = 0.1875 \][/tex]
4. Combined Event A and C: The burrito is a chicken burrito and the customer requested black beans.
- There are 37 chicken burritos with black beans.
- Probability [tex]\( P(A \cap C) \)[/tex]:
[tex]\[ P(A \cap C) = \frac{37}{240} = 0.154167 \][/tex]
To check for independence of A and C, we compare [tex]\( P(A \cap C) \)[/tex] with [tex]\( P(A) \times P(C) \)[/tex]:
[tex]\[ \text{If } P(A \cap C) = P(A) \times P(C), \text{ then A and C are independent.} \][/tex]
Calculation:
[tex]\[ P(A) \times P(C) = 0.345833 \times 0.1875 = 0.064167 \][/tex]
Since:
[tex]\[ P(A \cap C) \neq P(A) \times P(C) \][/tex]
Events A and C are not independent.
5. Event D: The customer requested pinto beans.
- There are 72 pinto beans requested.
- Probability [tex]\( P(D) \)[/tex]:
[tex]\[ P(D) = \frac{72}{240} = 0.3 \][/tex]
6. Combined Event A and D: The burrito is a chicken burrito and the customer requested pinto beans.
- There are 30 chicken burritos with pinto beans.
- Probability [tex]\( P(A \cap D) \)[/tex]:
[tex]\[ P(A \cap D) = \frac{30}{240} = 0.125 \][/tex]
To check for independence of A and D, we compare [tex]\( P(A \cap D) \)[/tex] with [tex]\( P(A) \times P(D) \)[/tex]:
[tex]\[ \text{If } P(A \cap D) = P(A) \times P(D), \text{ then A and D are independent.} \][/tex]
Calculation:
[tex]\[ P(A) \times P(D) = 0.345833 \times 0.3 = 0.103750 \][/tex]
Since:
[tex]\[ P(A \cap D) \neq P(A) \times P(D) \][/tex]
Events A and D are not independent.
---
In summary:
- Events A and C are not independent.
- Events A and D are not independent either.
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