In a sample of seven cars, each car was tested for nitrogen oxide emissions (in grams per mile). The results appear below. Assuming that nitrogen oxide emissions are normally distributed, 4. Car 1 2 3 4 6 7 Nitrogen oxide emission (g/mi) 0.13 0.18 0.15 0.09 0.12 0.18 0.08 a. Construct a 95% confidence interval for the mean amount of nitrogen oxide emissions for all cars. b. What effect would increasing the level of confidence have on the length of the interval?
In a sample of seven cars, each car was tested for nitrogen oxide emissions (in grams per mile). The results appear below. Assuming that nitrogen oxide emissions are normally distributed, 4. Car 1 2 3 4 6 7 Nitrogen oxide emission (g/mi) 0.13 0.18 0.15 0.09 0.12 0.18 0.08 a. Construct a 95% confidence interval for the mean amount of nitrogen oxide emissions for all cars. b. What effect would increasing the level of confidence have on the length of the interval?
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### Nitrogen Oxide Emissions in Vehicles
**Problem 4: Nitrogen Oxide Emissions in Cars**
In a sample of seven cars, each car was tested for nitrogen oxide emissions (in grams per mile). The results appear below. Assuming that nitrogen oxide emissions are normally distributed,
| Car | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|-----|------|------|------|------|------|------|------|
| Nitrogen oxide emission (g/mi) | 0.13 | 0.18 | 0.15 | 0.09 | 0.12 | 0.18 | 0.08 |
**a. Construct a 95% confidence interval** for the mean amount of nitrogen oxide emissions for all cars.
**b. What effect would increasing the level of confidence have on the length of the interval?**
### Explanation:
- **Table**: The table lists the nitrogen oxide emissions for seven different cars. The emissions are measured in grams per mile for each car. The values are as follows:
- Car 1: 0.13 g/mi
- Car 2: 0.18 g/mi
- Car 3: 0.15 g/mi
- Car 4: 0.09 g/mi
- Car 5: 0.12 g/mi
- Car 6: 0.18 g/mi
- Car 7: 0.08 g/mi
- **Confidence Interval Construction**:
- A confidence interval gives a range of values that, with a certain level of confidence (e.g., 95%), is believed to contain the true mean of the population.
- Constructing a 95% confidence interval involves calculating the mean and standard deviation from the sample data, then using these to find the interval.
- **Effect of Increasing Confidence Level**:
- Increasing the level of confidence tends to widen the confidence interval. This is because a higher confidence level means you want to be more certain that the interval contains the true mean, thus requiring a broader range.
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Transcribed Image Text:**Text Transcription for Educational Website:**
---
### Nitrogen Oxide Emissions in Vehicles
**Problem 4: Nitrogen Oxide Emissions in Cars**
In a sample of seven cars, each car was tested for nitrogen oxide emissions (in grams per mile). The results appear below. Assuming that nitrogen oxide emissions are normally distributed,
| Car | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|-----|------|------|------|------|------|------|------|
| Nitrogen oxide emission (g/mi) | 0.13 | 0.18 | 0.15 | 0.09 | 0.12 | 0.18 | 0.08 |
**a. Construct a 95% confidence interval** for the mean amount of nitrogen oxide emissions for all cars.
**b. What effect would increasing the level of confidence have on the length of the interval?**
### Explanation:
- **Table**: The table lists the nitrogen oxide emissions for seven different cars. The emissions are measured in grams per mile for each car. The values are as follows:
- Car 1: 0.13 g/mi
- Car 2: 0.18 g/mi
- Car 3: 0.15 g/mi
- Car 4: 0.09 g/mi
- Car 5: 0.12 g/mi
- Car 6: 0.18 g/mi
- Car 7: 0.08 g/mi
- **Confidence Interval Construction**:
- A confidence interval gives a range of values that, with a certain level of confidence (e.g., 95%), is believed to contain the true mean of the population.
- Constructing a 95% confidence interval involves calculating the mean and standard deviation from the sample data, then using these to find the interval.
- **Effect of Increasing Confidence Level**:
- Increasing the level of confidence tends to widen the confidence interval. This is because a higher confidence level means you want to be more certain that the interval contains the true mean, thus requiring a broader range.
---
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