Weatherwise is a magazine published by the American Meteorological Society. One issue gives a rating system used to classify Nor'easter storms that frequently hit New England and can cause much damage near the ocean. A severe storm has an average peak wave height of u = 16.4 feet for waves hitting the shore. Suppose that a Nor'easter is in progress at the severe storm class rating. Peak wave heights are usually measured from land (using binoculars) off fixed cement piers. Suppose that a reading of 36 waves showed an average wave height of x = 16.9 feet. Previous studies of severe storms indicate that o = 3.5 feet. Does this information suggest that the storm is (perhaps temporarily) increasing above the severe rating? Use a = 0.01. (a) What is the level of significance? State the null and alternate hypotheses. O Ho: H = 16.4 ft; H,: u > 16.4 ft O Ho: H < 16.4 ft; H,: u = 16.4 ft O Ho: H = 16.4 ft; H,: µ < 16.4 ft O Ho: H = 16.4 ft; H,: u + 16.4 ft O Ho: H > 16.4 ft; H,: µ = 16.4 ft (b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution. O The standard normal, since the sample size is large and o is known. O The Student's t, since the sample size is large and o is known. O The standard normal, since the sample size is large and o is unknown. O The Student's t, since the sample size is large and o is unknown. What is the value of the sample test statistic? (Round your answer to two decimal places.) (c) Estimate the P-value. O P-value > 0.250 O 0.100 < P-value < 0.250 O 0.050 < P-value < 0.100 O 0.010 < P-value < 0.050 O P-value < 0.010

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**Weatherwise** is a magazine published by the American Meteorological Society. One issue gives a rating system used to classify Nor'easter storms that frequently hit New England and can cause much damage near the ocean. A severe storm has an average peak wave height of \(\mu = 16.4\) feet for waves hitting the shore. Suppose that a Nor'easter is in progress at the severe storm class rating. Peak wave heights are usually measured from land (using binoculars) off fixed cement piers. Suppose that a reading of 36 waves showed an average wave height of \(\bar{x} = 16.9\) feet. Previous studies of severe storms indicate that \(\sigma = 3.5\) feet. Does this information suggest that the storm is (perhaps temporarily) increasing above the severe rating? Use \(\alpha = 0.01\).

### (a) What is the level of significance?
State the null and alternate hypotheses:

- \( H_0: \mu = 16.4 \text{ ft}; \; H_1: \mu > 16.4 \text{ ft} \)
- \( H_0: \mu < 16.4 \text{ ft}; \; H_1: \mu = 16.4 \text{ ft} \)
- \( H_0: \mu = 16.4 \text{ ft}; \; H_1: \mu < 16.4 \text{ ft} \)
- \( H_0: \mu = 16.4 \text{ ft}; \; H_1: \mu \neq 16.4 \text{ ft} \)
- \( H_0: \mu > 16.4 \text{ ft}; \; H_1: \mu = 16.4 \text{ ft} \)

### (b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution.
- \( \text{The standard normal, since the sample size is large and }\sigma \text{ is known.} \)
- \( \text{The Student's } t, \text{ since the sample size is large and }\sigma \text{ is known.} \)
- \( \text{The standard normal, since the sample size is large and }\sigma \text{ is unknown.} \)
- \( \text
Transcribed Image Text:**Weatherwise** is a magazine published by the American Meteorological Society. One issue gives a rating system used to classify Nor'easter storms that frequently hit New England and can cause much damage near the ocean. A severe storm has an average peak wave height of \(\mu = 16.4\) feet for waves hitting the shore. Suppose that a Nor'easter is in progress at the severe storm class rating. Peak wave heights are usually measured from land (using binoculars) off fixed cement piers. Suppose that a reading of 36 waves showed an average wave height of \(\bar{x} = 16.9\) feet. Previous studies of severe storms indicate that \(\sigma = 3.5\) feet. Does this information suggest that the storm is (perhaps temporarily) increasing above the severe rating? Use \(\alpha = 0.01\). ### (a) What is the level of significance? State the null and alternate hypotheses: - \( H_0: \mu = 16.4 \text{ ft}; \; H_1: \mu > 16.4 \text{ ft} \) - \( H_0: \mu < 16.4 \text{ ft}; \; H_1: \mu = 16.4 \text{ ft} \) - \( H_0: \mu = 16.4 \text{ ft}; \; H_1: \mu < 16.4 \text{ ft} \) - \( H_0: \mu = 16.4 \text{ ft}; \; H_1: \mu \neq 16.4 \text{ ft} \) - \( H_0: \mu > 16.4 \text{ ft}; \; H_1: \mu = 16.4 \text{ ft} \) ### (b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution. - \( \text{The standard normal, since the sample size is large and }\sigma \text{ is known.} \) - \( \text{The Student's } t, \text{ since the sample size is large and }\sigma \text{ is known.} \) - \( \text{The standard normal, since the sample size is large and }\sigma \text{ is unknown.} \) - \( \text
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