Test the pair of events C and D for independence based on the following table. A B 0.18 0.02 D E Total 0.06 0.06 0.30 0.10 0.08 0.20 C 0.20 0.04 0.26 0.50 Total 0.40 0.20 0.40 1.00 and P(C)P(D)= Are C and D independent or dependent and why? Select the correct answer below and fill in the answer boxes to complete your choice. O A. C and D are dependent because P(COD) does not equal P(C)P(D). P(CND)= O B. C and D are independent because P(COD) does not equal P(C)P(D). P(CND)= and P(C)P(D)= OC. C and D are dependent because P(CND) equals P(C)P(D). P(COD)= and P(C)P(D)= OD. C and D are independent because P(CND) equals P(C)P(D). P(CND)= and P(C)P(D)=
Test the pair of events C and D for independence based on the following table. A B 0.18 0.02 D E Total 0.06 0.06 0.30 0.10 0.08 0.20 C 0.20 0.04 0.26 0.50 Total 0.40 0.20 0.40 1.00 and P(C)P(D)= Are C and D independent or dependent and why? Select the correct answer below and fill in the answer boxes to complete your choice. O A. C and D are dependent because P(COD) does not equal P(C)P(D). P(CND)= O B. C and D are independent because P(COD) does not equal P(C)P(D). P(CND)= and P(C)P(D)= OC. C and D are dependent because P(CND) equals P(C)P(D). P(COD)= and P(C)P(D)= OD. C and D are independent because P(CND) equals P(C)P(D). P(CND)= and P(C)P(D)=
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
![**Testing Independence of Events C and D**
Examine the pair of events C and D for independence using the following table:
| | A | B | C | Total |
|---|-----|-----|-----|-------|
| D | 0.18| 0.02| 0.20| 0.40 |
| E | 0.06| 0.10| 0.04| 0.20 |
| F | 0.06| 0.08| 0.26| 0.40 |
| Total | 0.30| 0.20| 0.50| 1.00 |
**Determining Independence**
Are C and D independent or dependent and why? Select the correct answer below and fill in the answer boxes to complete your choice.
**Options:**
- **A.** C and D are dependent because P(C∩D) does not equal P(C)P(D). P(C∩D) = [ ], and P(C)P(D) = [ ].
- **B.** C and D are independent because P(C∩D) does not equal P(C)P(D). P(C∩D) = [ ], and P(C)P(D) = [ ].
- **C.** C and D are dependent because P(C∩D) equals P(C)P(D). P(C∩D) = [ ], and P(C)P(D) = [ ].
- **D.** C and D are independent because P(C∩D) equals P(C)P(D). P(C∩D) = [ ], and P(C)P(D) = [ ].
**Explanation:**
- **P(C∩D):** This represents the probability of both events C and D occurring simultaneously.
- **P(C):** This represents the probability of event C occurring.
- **P(D):** This represents the probability of event D occurring.
To determine if events C and D are independent, fill in the probabilities to check if P(C∩D) equals P(C)P(D). If they are equal, the events are independent. If not, they are dependent.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6e89c8a0-b5c7-4d5d-8bc4-e417f7670c5e%2Fb0c9abcd-e9c4-4120-a942-1d7c88e24487%2F4a7t2cv_processed.png&w=3840&q=75)
Transcribed Image Text:**Testing Independence of Events C and D**
Examine the pair of events C and D for independence using the following table:
| | A | B | C | Total |
|---|-----|-----|-----|-------|
| D | 0.18| 0.02| 0.20| 0.40 |
| E | 0.06| 0.10| 0.04| 0.20 |
| F | 0.06| 0.08| 0.26| 0.40 |
| Total | 0.30| 0.20| 0.50| 1.00 |
**Determining Independence**
Are C and D independent or dependent and why? Select the correct answer below and fill in the answer boxes to complete your choice.
**Options:**
- **A.** C and D are dependent because P(C∩D) does not equal P(C)P(D). P(C∩D) = [ ], and P(C)P(D) = [ ].
- **B.** C and D are independent because P(C∩D) does not equal P(C)P(D). P(C∩D) = [ ], and P(C)P(D) = [ ].
- **C.** C and D are dependent because P(C∩D) equals P(C)P(D). P(C∩D) = [ ], and P(C)P(D) = [ ].
- **D.** C and D are independent because P(C∩D) equals P(C)P(D). P(C∩D) = [ ], and P(C)P(D) = [ ].
**Explanation:**
- **P(C∩D):** This represents the probability of both events C and D occurring simultaneously.
- **P(C):** This represents the probability of event C occurring.
- **P(D):** This represents the probability of event D occurring.
To determine if events C and D are independent, fill in the probabilities to check if P(C∩D) equals P(C)P(D). If they are equal, the events are independent. If not, they are dependent.
Expert Solution

Step 1
Solution:
We know that two events C and D are independent if any one of the following conditions hold.
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