A group of students estimated the length of one minute without reference to a watch or clock, and the times (seconds) are listed below. Use a 0.10 significance level to test the claim that these times are from a population with a mean equal to 60 seconds. Does it appear that students are reasonably good at estimating one minute? 72 81 41 62 41 21 59 61 68 50 62 70 91 92 64 O Assuming all conditions for conducting a hypothesis test are met, what are the null and alternative hypotheses? O A. Hg: = 60 seconds Hp<60 seconds OB. H = 60 seconds H > 60 seconds OC. Ho: =60 seconds H p#60 seconds OD. H: 60 seconds H p= 60 seconds Determine the test statistic. ORound to two decimal places as needed.) Determine the P-value. ORound to three decimal places as needed.) State the final conclusion that addresses the original claim V Họ. There is V evidence to conclude that the original claim that the mean of the population of estimates is 60 seconds V correct. It V that as a group. the students are reasonably good at estimating one minute.

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For the last part the options are:

 

FAIL TO REJECT or REJECT; SUFFICIENT or NOT SUFFICIENT; IS or IS NOT; DOES NOT APPEAR or APPEARS.

### Estimating One Minute: Hypothesis Testing

#### Context
A group of students was asked to estimate the length of one minute without using any timekeeping devices. The recorded times (in seconds) are as follows:

72, 81, 41, 62, 41, 59, 61, 68, 60, 72, 90, 91, 92, 64

The task is to determine if these estimations are from a population with a mean of 60 seconds using a significance level of 0.10. The question is whether students are reasonably accurate at estimating one minute.

#### Hypotheses Formulation
Choose the appropriate null and alternative hypotheses:

- **Option A:**  
  \( H_0: \mu = 60 \) seconds  
  \( H_1: \mu \neq 60 \) seconds

- **Option B:**  
  \( H_0: \mu \leq 60 \) seconds  
  \( H_1: \mu > 60 \) seconds

- **Option C:**  
  \( H_0: \mu \geq 60 \) seconds  
  \( H_1: \mu < 60 \) seconds

- **Option D:**  
  \( H_0: \mu \neq 60 \) seconds  
  \( H_1: \mu = 60 \) seconds

#### Statistical Analysis

- **Determine the Test Statistic**  
  - Calculate the test statistic and round it to two decimal places.

- **Determine the P-value**  
  - Compute the P-value and round it to three decimal places.

#### Conclusion
Formulate a conclusion based on the hypothesis test:

- **Statement Options:**
  - Reject \( H_0 \) if there is sufficient evidence.
  - Fail to reject \( H_0 \) if there is insufficient evidence.

- Assess the original claim about the population mean being 60 seconds and determine whether the group estimations are reasonably accurate.
Transcribed Image Text:### Estimating One Minute: Hypothesis Testing #### Context A group of students was asked to estimate the length of one minute without using any timekeeping devices. The recorded times (in seconds) are as follows: 72, 81, 41, 62, 41, 59, 61, 68, 60, 72, 90, 91, 92, 64 The task is to determine if these estimations are from a population with a mean of 60 seconds using a significance level of 0.10. The question is whether students are reasonably accurate at estimating one minute. #### Hypotheses Formulation Choose the appropriate null and alternative hypotheses: - **Option A:** \( H_0: \mu = 60 \) seconds \( H_1: \mu \neq 60 \) seconds - **Option B:** \( H_0: \mu \leq 60 \) seconds \( H_1: \mu > 60 \) seconds - **Option C:** \( H_0: \mu \geq 60 \) seconds \( H_1: \mu < 60 \) seconds - **Option D:** \( H_0: \mu \neq 60 \) seconds \( H_1: \mu = 60 \) seconds #### Statistical Analysis - **Determine the Test Statistic** - Calculate the test statistic and round it to two decimal places. - **Determine the P-value** - Compute the P-value and round it to three decimal places. #### Conclusion Formulate a conclusion based on the hypothesis test: - **Statement Options:** - Reject \( H_0 \) if there is sufficient evidence. - Fail to reject \( H_0 \) if there is insufficient evidence. - Assess the original claim about the population mean being 60 seconds and determine whether the group estimations are reasonably accurate.
Expert Solution
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In this case, the population standard deviation is not given. In addition, the sample size is not large enough. Hence, one sample t test is used.

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