A certain statistics instructor participates in triathlons. The accompanying table lists times (in minutes and seconds) he recorded while riding a bicycle for five laps through each mile of a 3-mile loop. Use a 0.05 significance level to test the claim that it takes the same time to ride each of the miles. Does one of the miles appear to have a hill? Click the icon to view the data table of the riding times. X Riding Times (minutes and seconds) Determine the null and alternative hypotheses. D 3:16 3:23 3:24 3:21 3:22 Ho Mile 1 Mile 2 Mile 3 H₁ 3:18 3:21 3:20 3:20 3:16 3:33 3:30 3:28 3:31 3:28 Find the F test statistic. F = (Round to four decimal places as needed.) (Note: when pasting the data into your technology, each mile row will have separate columns for each minute and second entry. You will need to convert each minute/second entry into seconds only.) Find the P-value using the F test statistic. P-value= (Round to four decimal places as needed.) What is the conclusion for this hypothesis test? Print Done ▼

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### Hypothesis Testing for Bicycle Riding Times in a Triathlon

A certain statistics instructor participates in triathlons. The accompanying table lists times (in minutes and seconds) he recorded while riding a bicycle for five laps through each mile of a 3-mile loop. Use a 0.05 significance level to test the claim that it takes the same time to ride each of the miles. Does one of the miles appear to have a hill?

#### Riding Times (minutes and seconds)
| Mile  | Lap 1 | Lap 2 | Lap 3 | Lap 4 | Lap 5 |
|------|-------|-------|-------|-------|-------|
| **Mile 1** | 3:16  | 3:23  | 3:24  | 3:21  | 3:22  |
| **Mile 2** | 3:18  | 3:21  | 3:20  | 3:16  | 3:20  |
| **Mile 3** | 3:33  | 3:30  | 3:28  | 3:31  | 3:28  |

(Note: when pasting the data into your technology, each mile row will have separate columns for each minute and second entry. You will need to convert each minute/second entry into seconds only.)

#### Hypothesis
Determine the null and alternative hypotheses.

- **Null Hypothesis (H₀)**:
  - There is no significant difference in the riding times for the three miles.
  
- **Alternative Hypothesis (H₁)**:
  - There is a significant difference in the riding times for the three miles.

#### Analysis Steps
1. **Find the F test statistic**:
   - Compute the F-value after converting the times into a single unit (seconds). 
   - Round to four decimal places as needed.

2. **Find the P-value using the F test statistic**:
   - Determine the significance of the computed F-value.
   - Round to four decimal places as needed.

#### Conclusion
State the conclusion for this hypothesis test. Determine whether to reject the null hypothesis based on the comparison between the P-value and the significance level (0.05).

Click on the icon below to view the data table of the riding times:
[Data Table Icon]

#### Tools and Interpretation
- It is important to convert the times from
Transcribed Image Text:### Hypothesis Testing for Bicycle Riding Times in a Triathlon A certain statistics instructor participates in triathlons. The accompanying table lists times (in minutes and seconds) he recorded while riding a bicycle for five laps through each mile of a 3-mile loop. Use a 0.05 significance level to test the claim that it takes the same time to ride each of the miles. Does one of the miles appear to have a hill? #### Riding Times (minutes and seconds) | Mile | Lap 1 | Lap 2 | Lap 3 | Lap 4 | Lap 5 | |------|-------|-------|-------|-------|-------| | **Mile 1** | 3:16 | 3:23 | 3:24 | 3:21 | 3:22 | | **Mile 2** | 3:18 | 3:21 | 3:20 | 3:16 | 3:20 | | **Mile 3** | 3:33 | 3:30 | 3:28 | 3:31 | 3:28 | (Note: when pasting the data into your technology, each mile row will have separate columns for each minute and second entry. You will need to convert each minute/second entry into seconds only.) #### Hypothesis Determine the null and alternative hypotheses. - **Null Hypothesis (H₀)**: - There is no significant difference in the riding times for the three miles. - **Alternative Hypothesis (H₁)**: - There is a significant difference in the riding times for the three miles. #### Analysis Steps 1. **Find the F test statistic**: - Compute the F-value after converting the times into a single unit (seconds). - Round to four decimal places as needed. 2. **Find the P-value using the F test statistic**: - Determine the significance of the computed F-value. - Round to four decimal places as needed. #### Conclusion State the conclusion for this hypothesis test. Determine whether to reject the null hypothesis based on the comparison between the P-value and the significance level (0.05). Click on the icon below to view the data table of the riding times: [Data Table Icon] #### Tools and Interpretation - It is important to convert the times from
### Hypothesis Testing in Triathlons Study

**Context:**
A certain statistics instructor participates in triathlons. The accompanying table lists times (in minutes and seconds) he recorded while riding a bicycle for five laps through each mile of a 3-mile loop. Use a 0.05 significance level to test the claim that it takes the same time to ride each of the miles. Does one of the miles appear to have a hill?

**Data Access:**
Click the icon to view the data table of the riding times.

---

**Hypothesis Test Conclusion:**
What is the conclusion for this hypothesis test?

- **A.** Reject H₀. There is sufficient evidence to warrant rejection of the claim that the three different miles have the same mean ride time.
- **B.** Fail to reject H₀. There is insufficient evidence to warrant rejection of the claim that the three different miles have the same mean ride time.
- **C.** Fail to reject H₀. There is sufficient evidence to warrant rejection of the claim that the three different miles have the same mean ride time.
- **D.** Reject H₀. There is insufficient evidence to warrant rejection of the claim that the three different miles have the same mean ride time.

**Further Analysis:**
Does one of the miles appear to have a hill?

- **A.** Yes, these data suggest that the second mile appears to take longer, and a reasonable explanation is that it has a hill.
- **B.** No, these data do not suggest that any of the miles have a hill.
Transcribed Image Text:### Hypothesis Testing in Triathlons Study **Context:** A certain statistics instructor participates in triathlons. The accompanying table lists times (in minutes and seconds) he recorded while riding a bicycle for five laps through each mile of a 3-mile loop. Use a 0.05 significance level to test the claim that it takes the same time to ride each of the miles. Does one of the miles appear to have a hill? **Data Access:** Click the icon to view the data table of the riding times. --- **Hypothesis Test Conclusion:** What is the conclusion for this hypothesis test? - **A.** Reject H₀. There is sufficient evidence to warrant rejection of the claim that the three different miles have the same mean ride time. - **B.** Fail to reject H₀. There is insufficient evidence to warrant rejection of the claim that the three different miles have the same mean ride time. - **C.** Fail to reject H₀. There is sufficient evidence to warrant rejection of the claim that the three different miles have the same mean ride time. - **D.** Reject H₀. There is insufficient evidence to warrant rejection of the claim that the three different miles have the same mean ride time. **Further Analysis:** Does one of the miles appear to have a hill? - **A.** Yes, these data suggest that the second mile appears to take longer, and a reasonable explanation is that it has a hill. - **B.** No, these data do not suggest that any of the miles have a hill.
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