The data given below show the number of overtime hours worked in one week per employee. Use the data to complete parts (a) and (b). Overtime hours Employees 0 8 X P(x) 0 1 11 1 2 31 (a) Construct a probability distribution. (b) Graph the probability distribution using a histogram and describe its shape. (a) Construct the probability distribution by completing the table below. 2 3 57 3 4 44 4 5 29 5 6 15 6 Time Remaining: 02:28:04 Next

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## Probability Distribution of Overtime Hours

The data provided below represents the number of overtime hours worked in one week per employee. Use this data to complete parts (a) and (b).

### Table of Overtime Hours and Employees

| Overtime Hours | Number of Employees |
|----------------|---------------------|
| 0              | 8                   |
| 1              | 11                  |
| 2              | 31                  |
| 3              | 57                  |
| 4              | 44                  |
| 5              | 29                  |
| 6              | 15                  |

### Tasks

**(a) Construct a Probability Distribution:**

Complete the probability distribution table below:

| \( x \) | 0  | 1  | 2  | 3  | 4  | 5  | 6  |
|---------|----|----|----|----|----|----|----|
| \( P(x) \) |    |    |    |    |    |    |    |

**(b) Graph the Probability Distribution Using a Histogram:**

Create a histogram that represents the probability distribution of the overtime hours. Ensure to describe its shape (e.g., symmetric, skewed left, skewed right).

### Instructions

1. **Calculate the Total Number of Employees:**
   Add up the number of employees for each overtime hour to find the total.

2. **Determine \( P(x) \):**
   Calculate the probability for each number of overtime hours by dividing the number of employees for each hour by the total number of employees.

3. **Draw the Histogram:**
   - The x-axis will represent the number of overtime hours.
   - The y-axis will represent the probability \( P(x) \).
   - Each bar in the histogram should correspond to an overtime hour and have a height proportional to its probability.

### Conclusion

Once you have completed the table and histogram, analyze the distribution and provide a description of its shape and any notable features.
Transcribed Image Text:## Probability Distribution of Overtime Hours The data provided below represents the number of overtime hours worked in one week per employee. Use this data to complete parts (a) and (b). ### Table of Overtime Hours and Employees | Overtime Hours | Number of Employees | |----------------|---------------------| | 0 | 8 | | 1 | 11 | | 2 | 31 | | 3 | 57 | | 4 | 44 | | 5 | 29 | | 6 | 15 | ### Tasks **(a) Construct a Probability Distribution:** Complete the probability distribution table below: | \( x \) | 0 | 1 | 2 | 3 | 4 | 5 | 6 | |---------|----|----|----|----|----|----|----| | \( P(x) \) | | | | | | | | **(b) Graph the Probability Distribution Using a Histogram:** Create a histogram that represents the probability distribution of the overtime hours. Ensure to describe its shape (e.g., symmetric, skewed left, skewed right). ### Instructions 1. **Calculate the Total Number of Employees:** Add up the number of employees for each overtime hour to find the total. 2. **Determine \( P(x) \):** Calculate the probability for each number of overtime hours by dividing the number of employees for each hour by the total number of employees. 3. **Draw the Histogram:** - The x-axis will represent the number of overtime hours. - The y-axis will represent the probability \( P(x) \). - Each bar in the histogram should correspond to an overtime hour and have a height proportional to its probability. ### Conclusion Once you have completed the table and histogram, analyze the distribution and provide a description of its shape and any notable features.
The data given below show the number of overtime hours worked in one week per employee. Use the data to answer the following questions.

(a) Construct the probability distribution by completing the table below.

| x    | 0     | 1     | 2     | 3     | 4     | 5     | 6     |
|------|-------|-------|-------|-------|-------|-------|-------|
| P(x) |       |       |       |       |       |       |       |

(Round to three decimal places as needed.)

(b) Choose the correct graph of the probability distribution.

- Option A: A bar graph is displayed with probabilities increasing from 0.1 to 0.3 as x increases from 0 to 6.
- Option B: A bar graph is displayed with a different distribution pattern; showing varied heights for each bar.
- Option C: A bar graph is displayed showing decreasing probabilities from 0.4 to 0.1 as x increases from 0 to 6.
- Option D: A bar graph is displayed with probabilities forming a peak around the middle values of x.

**Time Remaining:** 02:27:56

**Next Button**: Proceeds to the next screen or question.
Transcribed Image Text:The data given below show the number of overtime hours worked in one week per employee. Use the data to answer the following questions. (a) Construct the probability distribution by completing the table below. | x | 0 | 1 | 2 | 3 | 4 | 5 | 6 | |------|-------|-------|-------|-------|-------|-------|-------| | P(x) | | | | | | | | (Round to three decimal places as needed.) (b) Choose the correct graph of the probability distribution. - Option A: A bar graph is displayed with probabilities increasing from 0.1 to 0.3 as x increases from 0 to 6. - Option B: A bar graph is displayed with a different distribution pattern; showing varied heights for each bar. - Option C: A bar graph is displayed showing decreasing probabilities from 0.4 to 0.1 as x increases from 0 to 6. - Option D: A bar graph is displayed with probabilities forming a peak around the middle values of x. **Time Remaining:** 02:27:56 **Next Button**: Proceeds to the next screen or question.
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