The color of the Star Trek uniform represents each crew-member's work area. In the original Star Trek series, blue shirts are worn by medical and science staff, gold shirts are worn by the command division, and the red shirts were worn by engineering, security and communications division. We will statistically assess whether there is a connection between uniform color and the fatality rate. The table below shows a sample of how many crew-members in each area have died onscreen and their shirt color. Use α = 0.05 to test to see if a crew-member's fatality onscreen is dependent on their uniform color. Alive Dead Total 39 21 28 Blue Gold Red Total 88 8 9 27 ^^ 47 30 55 132

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### Analysis of Star Trek Uniform Colors and Crew-Member Fatalities

The color of the Star Trek uniform represents each crew-member's work area. In the original Star Trek series, blue shirts are worn by medical and science staff, gold shirts are worn by the command division, and the red shirts were worn by engineering, security, and communications division. We will statistically assess whether there is a connection between uniform color and the fatality rate. The table below shows a sample of how many crew-members in each area have died onscreen and their shirt color. Use α = 0.05 to test if a crew-member's fatality onscreen is dependent on their uniform color.

| Shirt Color | Alive | Dead | Total |
|-------------|-------|------|-------|
| Blue        | 39    | 8    | 47    |
| Gold        | 21    | 9    | 30    |
| Red         | 28    | 27   | 55    |
| **Total**   | **88**| **44**| **132**|

### Key Insights:
1. **Blue Shirts**:
   - Alive: 39
   - Dead: 8
   - Total: 47
   
2. **Gold Shirts**:
   - Alive: 21
   - Dead: 9
   - Total: 30
   
3. **Red Shirts**:
   - Alive: 28
   - Dead: 27
   - Total: 55

4. **Overall**:
   - Alive: 88
   - Dead: 44
   - Total: 132
  
### Statistical Analysis:
To determine if a crew-member's fatality onscreen is dependent on their uniform color, we need to conduct a chi-square test of independence with a significance level of α = 0.05. This test will help ascertain whether there is a significant relationship between the variables (uniform color and fatality rate).

The data suggests that the red shirts have a noticeably higher fatality rate compared to blue and gold shirts. However, a formal statistical analysis is essential to confirm if this observed difference is statistically significant.
Transcribed Image Text:### Analysis of Star Trek Uniform Colors and Crew-Member Fatalities The color of the Star Trek uniform represents each crew-member's work area. In the original Star Trek series, blue shirts are worn by medical and science staff, gold shirts are worn by the command division, and the red shirts were worn by engineering, security, and communications division. We will statistically assess whether there is a connection between uniform color and the fatality rate. The table below shows a sample of how many crew-members in each area have died onscreen and their shirt color. Use α = 0.05 to test if a crew-member's fatality onscreen is dependent on their uniform color. | Shirt Color | Alive | Dead | Total | |-------------|-------|------|-------| | Blue | 39 | 8 | 47 | | Gold | 21 | 9 | 30 | | Red | 28 | 27 | 55 | | **Total** | **88**| **44**| **132**| ### Key Insights: 1. **Blue Shirts**: - Alive: 39 - Dead: 8 - Total: 47 2. **Gold Shirts**: - Alive: 21 - Dead: 9 - Total: 30 3. **Red Shirts**: - Alive: 28 - Dead: 27 - Total: 55 4. **Overall**: - Alive: 88 - Dead: 44 - Total: 132 ### Statistical Analysis: To determine if a crew-member's fatality onscreen is dependent on their uniform color, we need to conduct a chi-square test of independence with a significance level of α = 0.05. This test will help ascertain whether there is a significant relationship between the variables (uniform color and fatality rate). The data suggests that the red shirts have a noticeably higher fatality rate compared to blue and gold shirts. However, a formal statistical analysis is essential to confirm if this observed difference is statistically significant.
---

### Chi-Square Test for Independence

#### Contingency Table

|         | Alive | Dead |
|---------|-------|------|
| Blue    |       |      |
| Gold    |       |      |
| Red     |       |      |

#### Instructions

1. **Compute the Value of the Test Statistic:**
   - Calculate the chi-square (χ²) value to 4 decimal places.
   
     \[
     \chi² = \_\_\_\_
     \]

2. **Compute the p-value:**
   - Determine the p-value corresponding to the computed chi-square value. Round your answer to 4 decimal places.
   
     \[
     p\text{-value} = \_\_\_\_
     \]

---
Transcribed Image Text:--- ### Chi-Square Test for Independence #### Contingency Table | | Alive | Dead | |---------|-------|------| | Blue | | | | Gold | | | | Red | | | #### Instructions 1. **Compute the Value of the Test Statistic:** - Calculate the chi-square (χ²) value to 4 decimal places. \[ \chi² = \_\_\_\_ \] 2. **Compute the p-value:** - Determine the p-value corresponding to the computed chi-square value. Round your answer to 4 decimal places. \[ p\text{-value} = \_\_\_\_ \] ---
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