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MATH225 Week 8 Final Exam (4 versions, 200 Q & A, Latest-2021) / MATH 225N Week 8 Final Exam / MATH 225 Final Exam / MATH225N Final Exam: Chamberlain College of Nursing |100% Correct Answers, Download to Score “A”|
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MATH225 / MATH225N
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Chamberlain College Of Nursing
MATH225 Week 8 Final Exam (4 versions, 200 Q & A, Latest-2021) / MATH 225N Week 8 Final Exam / MATH 225 Final Exam / MATH225N Final Exam: Chamberlain College of Nursing |100% Correct Answers, Download to Score “A”|
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MATH225 WEEK 8 FINAL
4 Latest Versions
,
,
, The building inspector thinks that no more than 15% of the structures in the county were
built without permits when, in fact, no more than 15% of the structures really were built
without permits.
The building inspector thinks that more than 15% of the structures in the county were
built without permits when, in fact, more than 15% of the structures really were built
without permits.
The building inspector thinks that more than 15% of the structures in the county were
built without permits when, in fact, at most 15% of the structures were built without
permits.
The building inspector thinks that no more than 15% of the structures in the county were
built without permits when, in fact, more than 15% of the structures were built without
permits.
Answer Explanation
Correct answer:
The building inspector thinks that no more than 15% of the structures in the county
were built without permits when, in fact, more than 15% of the structures were built
without permits.
A Type II error is the decision not to reject the null hypothesis when, in fact, it is false. In
this case, the Type II error is when the building inspector thinks that no more
than 15% of the structures were built without permits when, in fact, more than 15% of
the structures were built without permits.
QUESTION 4
1/1 POINTS
Suppose a chef claims that her meatball weight is less than 4 ounces, on average.
Several of her customers do not believe her, so the chef decides to do a hypothesis
test, at a 10% significance level, to persuade them. She cooks 14 meatballs. The
mean weight of the sample meatballs is 3.7 ounces. The chef knows from experience
that the standard deviation for her meatball weight is 0.5 ounces.
H 0:
μ≥4; Ha: μ<4
α=0.1 (significance level)
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