Developing the null and alternative hypotheses, Type I and II errors, interpreti

Question

Developing the null and alternative hypotheses, Type I and II errors, interpreting p-values The Sunnytown tourism bureau claims that the mean number of sunny days per year in Sunnytown is at least 300. To test this, the Better Business Bureau formulates the alternative hypothesis as: The mean number of sunny days per year in Sunnytown is equal to 300. The mean number of sunny days per year in Sunnytown is greater than or equal to 300. The mean number of sunny days per year in Sunnytown is less than 300. The mean number of sunny days per year in Sunnytown is greater than 300. The Better Business Bureau commits a Type II error if it concludes that: The tourism bureau's claim is incorrect when it is actually correct. The tourism bureau's claim is supported when it is actually incorrect. Suppose that the Better Business Bureau conducts the hypothesis test and uses the value of the test statistic to compute a p-value for the test. The p-value is 0.005. Using the guidelines suggested by statisticians for interpreting small p-values, the sample data provide ______________ evidence against the null hypothesis.

Explanation / Answer

Q(a) Option C is Correct because alternative hypothesis should have < sign in this situation

B) Option B is Correct

C) Sufficient

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