A simulated exercise gave n = 26 observations on escape time (sec) for oil workers, from which the sample mean and sample standard deviation are 371.15 and 23.02, respectively. Suppose the investigators had believed a priori that true average escape time would be at most 6 min. Does the data contradict this prior belief? Assuming normality, test the appropriate hypotheses using a significance level of 0.05. USE SALT

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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A simulated exercise gave \( n = 26 \) observations on escape time (sec) for oil workers, from which the sample mean and sample standard deviation are 371.15 and 23.02, respectively. Suppose the investigators had believed *a priori* that true average escape time would be at most 6 min. Does the data contradict this prior belief? Assuming normality, test the appropriate hypotheses using a significance level of 0.05.

---

**State the appropriate hypotheses.**

- \( H_0 : \mu = 360 \)  
  \( H_a : \mu < 360 \)

- \( H_0 : \mu = 360 \)  
  \( H_a : \mu > 360 \)

- \( H_0 : \mu = 360 \)  
  \( H_a : \mu \leq 360 \)

- \( H_0 : \mu = 360 \)  
  \( H_a : \mu \neq 360 \)

---

**Calculate the test statistic and determine the P-value.** (Round your test statistic to two decimal places and your \( P \)-value to three decimal places.)

\[ t = \]  
\[ P\text{-value} = \]

---

**What can you conclude?**

- Do not reject the null hypothesis. There is not sufficient evidence that true average escape time exceeds 6 min.

- Do not reject the null hypothesis. There is sufficient evidence that true average escape time exceeds 6 min.

- Reject the null hypothesis. There is sufficient evidence that true average escape time exceeds 6 min.

- Reject the null hypothesis. There is not sufficient evidence that true average escape time exceeds 6 min.

*You may need to use the appropriate table in the [Appendix of Tables](#) to answer this question.*
Transcribed Image Text:A simulated exercise gave \( n = 26 \) observations on escape time (sec) for oil workers, from which the sample mean and sample standard deviation are 371.15 and 23.02, respectively. Suppose the investigators had believed *a priori* that true average escape time would be at most 6 min. Does the data contradict this prior belief? Assuming normality, test the appropriate hypotheses using a significance level of 0.05. --- **State the appropriate hypotheses.** - \( H_0 : \mu = 360 \) \( H_a : \mu < 360 \) - \( H_0 : \mu = 360 \) \( H_a : \mu > 360 \) - \( H_0 : \mu = 360 \) \( H_a : \mu \leq 360 \) - \( H_0 : \mu = 360 \) \( H_a : \mu \neq 360 \) --- **Calculate the test statistic and determine the P-value.** (Round your test statistic to two decimal places and your \( P \)-value to three decimal places.) \[ t = \] \[ P\text{-value} = \] --- **What can you conclude?** - Do not reject the null hypothesis. There is not sufficient evidence that true average escape time exceeds 6 min. - Do not reject the null hypothesis. There is sufficient evidence that true average escape time exceeds 6 min. - Reject the null hypothesis. There is sufficient evidence that true average escape time exceeds 6 min. - Reject the null hypothesis. There is not sufficient evidence that true average escape time exceeds 6 min. *You may need to use the appropriate table in the [Appendix of Tables](#) to answer this question.*
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