e. Select a value of a, the probability of Type l error. Interpret this value in thé words of O A. There would still be sufficient evidence to reject the null hypothesis if a>0.202. B. There would still be sufficient evidence to reject the null hypothesis if a = 0.001 O C. There would still be sufficient evidence to reject the null hypothesis if a>0.001 D. There would still be suficient evidence to reject the null hypothesis if a<0.202.

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14) part E
**Trap Spacing Measurements Analysis for Red Spiny Lobster Fishermen**

*Introduction:*
Trap spacing measurements (in meters) for a sample of seven teams of red spiny lobster fishermen are provided in the accompanying table. Let \(\mu\) represent the average of the trap spacing measurements for the population of red spiny lobster fishermen. The mean (\(\bar{x}\)) and the standard deviation (s) of the sample measurements are \(\bar{x} = 88.4\) meters and \(s = 12.2\) meters, respectively. Suppose you want to determine if the true value of \(\mu\) differs from 95 meters. Complete parts a through h below.

| 91 | 97 | 105 | 94 | 80 | 68 | 84 |

**Part b:**
Since \(\bar{x} = 88.4\) is less than 95, a fisherman wants to reject the null hypothesis. What are the problems with using such a decision rule?

- **A.** To reject the null hypothesis, the problem must specify the critical value of t.
- **B.** To reject the null hypothesis, the problem must specify the value of \(\alpha\) and the probability that the test will lead to rejection and then consult the t or z table depending on the size of the sample.
- **C.** To reject the null hypothesis, the problem must specify the critical value of z.
- **D.** To reject the null hypothesis, the problem must specify the sample size.

**Part c: Compute the value of the test statistic.**

\[ t = \frac{\bar{x} - \mu}{s/\sqrt{n}} = \frac{88.4 - 95}{12.2/\sqrt{7}} = -\frac{6.6}{4.6188} = -1.42 \]

(Round to two decimal places as needed.)

**Part d: Find the approximate p-value of the test.**

Using a t-distribution table or statistical software, you find:

\[ \text{p-value} = 0.205 \] 

(Round to three decimal places as needed.)

**Part e: Select the value of \(\alpha\), the probability of Type I error. Interpret this value in the words of the problem.**

- **A.** There would still be sufficient evidence to reject the null hypothesis if
Transcribed Image Text:**Trap Spacing Measurements Analysis for Red Spiny Lobster Fishermen** *Introduction:* Trap spacing measurements (in meters) for a sample of seven teams of red spiny lobster fishermen are provided in the accompanying table. Let \(\mu\) represent the average of the trap spacing measurements for the population of red spiny lobster fishermen. The mean (\(\bar{x}\)) and the standard deviation (s) of the sample measurements are \(\bar{x} = 88.4\) meters and \(s = 12.2\) meters, respectively. Suppose you want to determine if the true value of \(\mu\) differs from 95 meters. Complete parts a through h below. | 91 | 97 | 105 | 94 | 80 | 68 | 84 | **Part b:** Since \(\bar{x} = 88.4\) is less than 95, a fisherman wants to reject the null hypothesis. What are the problems with using such a decision rule? - **A.** To reject the null hypothesis, the problem must specify the critical value of t. - **B.** To reject the null hypothesis, the problem must specify the value of \(\alpha\) and the probability that the test will lead to rejection and then consult the t or z table depending on the size of the sample. - **C.** To reject the null hypothesis, the problem must specify the critical value of z. - **D.** To reject the null hypothesis, the problem must specify the sample size. **Part c: Compute the value of the test statistic.** \[ t = \frac{\bar{x} - \mu}{s/\sqrt{n}} = \frac{88.4 - 95}{12.2/\sqrt{7}} = -\frac{6.6}{4.6188} = -1.42 \] (Round to two decimal places as needed.) **Part d: Find the approximate p-value of the test.** Using a t-distribution table or statistical software, you find: \[ \text{p-value} = 0.205 \] (Round to three decimal places as needed.) **Part e: Select the value of \(\alpha\), the probability of Type I error. Interpret this value in the words of the problem.** - **A.** There would still be sufficient evidence to reject the null hypothesis if
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