ory 31 A test was given to a group of students. The grades and gender are summarized below A B C Total Male 10 15 9 34 Female 12 14 3 29 Total 22 29 12 63 If one student is chosen at random from those who took the test, Find the probability that the student was female GIVEN they got a 'C'. Round answer 4 places after the decimal if needed. Submit Question 86°F Sunny SM DALL 10:24 6/21/20

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### Probability and Statistics: Analyzing Gender and Grades

In this lesson, we will analyze the probability of an event occurring based on given data. Let's consider the following scenario:

#### Test Data Summary
A test was administered to a group of students. The table below summarizes the grades (A, B, C) received by male and female students:

| Grade/Gender | A  | B  | C  | Total |
|--------------|----|----|----|-------|
| Male         | 10 | 15 | 9  | 34    |
| Female       | 12 | 14 | 3  | 29    |
| Total        | 22 | 29 | 12 | 63    |

#### Question:
If one student is chosen at random from those who took the test, find the probability that the student was female GIVEN they got a ‘C’. Round the answer to 4 decimal places if needed.

### Step-by-Step Solution:

1. **Identify the Given Data:**
   - Total number of students who got a ‘C’: 12.
   - Number of female students who got a ‘C’: 3.

2. **Conditional Probability Formula:**
   The conditional probability that a student is female given they got a ‘C’ is given by:
   \[
   P(\text{Female} \mid \text{C}) = \frac{P(\text{Female and C})}{P(\text{C})}
   \]

3. **Calculate the Probabilities:**
   - \(P(\text{Female and C})\): This is the number of female students who got a ‘C’ divided by the total number of students. 
     \[
     P(\text{Female and C}) = \frac{3}{63}
     \]
   - \(P(\text{C})\): This is the total number of students who got a ‘C’ divided by the total number of students.
     \[
     P(\text{C}) = \frac{12}{63}
     \]

4. **Compute the Conditional Probability:**
   \[
   P(\text{Female} \mid \text{C}) = \frac{\frac{3}{63}}{\frac{12}{63}} = \frac{3}{12} = \frac{1}{4} = 0.25
   \]

Thus, the probability that
Transcribed Image Text:### Probability and Statistics: Analyzing Gender and Grades In this lesson, we will analyze the probability of an event occurring based on given data. Let's consider the following scenario: #### Test Data Summary A test was administered to a group of students. The table below summarizes the grades (A, B, C) received by male and female students: | Grade/Gender | A | B | C | Total | |--------------|----|----|----|-------| | Male | 10 | 15 | 9 | 34 | | Female | 12 | 14 | 3 | 29 | | Total | 22 | 29 | 12 | 63 | #### Question: If one student is chosen at random from those who took the test, find the probability that the student was female GIVEN they got a ‘C’. Round the answer to 4 decimal places if needed. ### Step-by-Step Solution: 1. **Identify the Given Data:** - Total number of students who got a ‘C’: 12. - Number of female students who got a ‘C’: 3. 2. **Conditional Probability Formula:** The conditional probability that a student is female given they got a ‘C’ is given by: \[ P(\text{Female} \mid \text{C}) = \frac{P(\text{Female and C})}{P(\text{C})} \] 3. **Calculate the Probabilities:** - \(P(\text{Female and C})\): This is the number of female students who got a ‘C’ divided by the total number of students. \[ P(\text{Female and C}) = \frac{3}{63} \] - \(P(\text{C})\): This is the total number of students who got a ‘C’ divided by the total number of students. \[ P(\text{C}) = \frac{12}{63} \] 4. **Compute the Conditional Probability:** \[ P(\text{Female} \mid \text{C}) = \frac{\frac{3}{63}}{\frac{12}{63}} = \frac{3}{12} = \frac{1}{4} = 0.25 \] Thus, the probability that
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