A researcher believes that the mean earnings of top-paid actors, athletes and musicians are the same. The earnings (in millions of dollars) for several randomly selected people from each category are shown in the table below. It has been confirmed that the population variance for each group is equal and that earnings follow a normal distribution for top-pain actors, athletes and musicians. Use a 1% significance to test the claim. Job Actor Actor Actor Actor Actor Actor Actor Actor Actor Actor Actor Actor Actor Actor Athlete Athlete Athlete Athlete Athlete Athlete Athlete Athlete Athlete Athlete Musician Musician Musician Musician Musician Musician Musician Musician Musician Musician Musician Musician Musician Musician Musician Earnings 23 22 35 35 35 27 29 48 35 28 36 40 22 33 33 42 46 30 34 38 28 58 59 38 50 58 44 38 37 65 29 54 37 39 54 47 52 35 64 What is the factor variable? Select an answer

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**Research Hypothesis Test on Earnings**

A researcher believes that the mean earnings of top-paid actors, athletes, and musicians are the same. The earnings (in millions of dollars) for several randomly selected individuals from each category are presented in the table. It has been confirmed that the population variance for each group is equal and that earnings follow a normal distribution for top-paid actors, athletes, and musicians. Use a 1% significance level to test the claim.

**Earnings Data:**

| Job       | Earnings (Millions) |
|-----------|---------------------|
| Actor     | 23                  |
| Actor     | 22                  |
| Actor     | 35                  |
| Actor     | 35                  |
| Actor     | 35                  |
| Actor     | 27                  |
| Actor     | 29                  |
| Actor     | 48                  |
| Actor     | 35                  |
| Actor     | 28                  |
| Actor     | 36                  |
| Actor     | 40                  |
| Actor     | 22                  |
| Actor     | 33                  |
| Athlete   | 33                  |
| Athlete   | 42                  |
| Athlete   | 46                  |
| Athlete   | 30                  |
| Athlete   | 34                  |
| Athlete   | 38                  |
| Athlete   | 28                  |
| Athlete   | 58                  |
| Athlete   | 59                  |
| Athlete   | 38                  |
| Musician  | 50                  |
| Musician  | 58                  |
| Musician  | 44                  |
| Musician  | 38                  |
| Musician  | 37                  |
| Musician  | 65                  |
| Musician  | 29                  |
| Musician  | 54                  |
| Musician  | 37                  |
| Musician  | 39                  |
| Musician  | 54                  |
| Musician  | 47                  |
| Musician  | 52                  |
| Musician  | 35                  |
| Musician  | 64                  |

**Test Information:**

- **Factor Variable:**
  - Job (Actor, Athlete, Musician)
  
- **Response Variable:**
  - Earnings (in millions)

- **Significance Level:**
  - 1% (0.01)

**Analysis Steps to Complete:**
Transcribed Image Text:**Research Hypothesis Test on Earnings** A researcher believes that the mean earnings of top-paid actors, athletes, and musicians are the same. The earnings (in millions of dollars) for several randomly selected individuals from each category are presented in the table. It has been confirmed that the population variance for each group is equal and that earnings follow a normal distribution for top-paid actors, athletes, and musicians. Use a 1% significance level to test the claim. **Earnings Data:** | Job | Earnings (Millions) | |-----------|---------------------| | Actor | 23 | | Actor | 22 | | Actor | 35 | | Actor | 35 | | Actor | 35 | | Actor | 27 | | Actor | 29 | | Actor | 48 | | Actor | 35 | | Actor | 28 | | Actor | 36 | | Actor | 40 | | Actor | 22 | | Actor | 33 | | Athlete | 33 | | Athlete | 42 | | Athlete | 46 | | Athlete | 30 | | Athlete | 34 | | Athlete | 38 | | Athlete | 28 | | Athlete | 58 | | Athlete | 59 | | Athlete | 38 | | Musician | 50 | | Musician | 58 | | Musician | 44 | | Musician | 38 | | Musician | 37 | | Musician | 65 | | Musician | 29 | | Musician | 54 | | Musician | 37 | | Musician | 39 | | Musician | 54 | | Musician | 47 | | Musician | 52 | | Musician | 35 | | Musician | 64 | **Test Information:** - **Factor Variable:** - Job (Actor, Athlete, Musician) - **Response Variable:** - Earnings (in millions) - **Significance Level:** - 1% (0.01) **Analysis Steps to Complete:**
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