Londell, an accomplished marathon runner, claims that the standard deviation for his time to run a 26.2 mile marathon is less than 11.1 minutes. To test his claim, Londell looks up 17 of his race times (in minutes): 238.6, 240, 231.4, 241.4, 251.9, 230.4, 232.1, 235.7, 234.6, 242.9, 240.5, 237.6, 242.2, 245.7, 235.7, 240.2, 233.9 Borform a hypothesis test using a 1% level of significance to test Londell's claim

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### Hypothesis Testing of Marathon Times

Londell, a skilled marathon runner, claims that the standard deviation of his times for running a 26.2 mile marathon is less than 11.1 minutes. To test his claim, Londell evaluates his times from 17 races, recorded (in minutes) as follows:

238.6, 240, 231.4, 241.4, 251.9, 230.4, 232.1, 235.7, 234.6, 242.9, 240.5, 237.6, 242.2, 245.7, 235.7, 240.2, 233.9

A hypothesis test will be conducted at a 1% level of significance to verify Londell's claim.

#### Step 1: State the Null and Alternative Hypotheses

- **Null Hypothesis (\( H_0 \))**: \( \sigma = 11.1 \)
- **Alternative Hypothesis (\( H_a \))**: \( \sigma < 11.1 \)

(Thus, a left-tailed test will be performed.)

#### Step 2: Determine the Features of the Distribution of Test Statistics

Assuming the null hypothesis is true and considering the test pertains to the population standard deviation, we will use a chi-square distribution. The degrees of freedom will be calculated based on the sample size.

*Note:* The degrees of freedom is equal to the sample size minus one (\( n - 1 \)). In this scenario, with 17 race times, the degrees of freedom will be 16.

Please input the degrees of freedom where indicated to proceed with the analysis.
Transcribed Image Text:### Hypothesis Testing of Marathon Times Londell, a skilled marathon runner, claims that the standard deviation of his times for running a 26.2 mile marathon is less than 11.1 minutes. To test his claim, Londell evaluates his times from 17 races, recorded (in minutes) as follows: 238.6, 240, 231.4, 241.4, 251.9, 230.4, 232.1, 235.7, 234.6, 242.9, 240.5, 237.6, 242.2, 245.7, 235.7, 240.2, 233.9 A hypothesis test will be conducted at a 1% level of significance to verify Londell's claim. #### Step 1: State the Null and Alternative Hypotheses - **Null Hypothesis (\( H_0 \))**: \( \sigma = 11.1 \) - **Alternative Hypothesis (\( H_a \))**: \( \sigma < 11.1 \) (Thus, a left-tailed test will be performed.) #### Step 2: Determine the Features of the Distribution of Test Statistics Assuming the null hypothesis is true and considering the test pertains to the population standard deviation, we will use a chi-square distribution. The degrees of freedom will be calculated based on the sample size. *Note:* The degrees of freedom is equal to the sample size minus one (\( n - 1 \)). In this scenario, with 17 race times, the degrees of freedom will be 16. Please input the degrees of freedom where indicated to proceed with the analysis.
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