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Material Type: Quiz; Professor: Brown; Class: INTRO TO STATISTICAL ANALYSIS; Subject: Economics; University: Clark University; Term: Fall 2010;
Typology: Quizzes
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Problem Set 6 Introduction to Statistics Professor Tan Due: Thursday, December 9 at 1:25 PM Hand in at beginning of class or upload to Cicada
1. Chapter 20, Exercise 2 (Ch. 20; Ex.2) Write the null and alternative hypotheses you would test for each of the following: a.) In the 1950s only about 40% of high school graduates went to college. Has that percentage changed? b.) 20% of cars of a certain model have needed costly transmission work ater being driven between 50,000 and 10,000 miles. The manufacturer hopes that the redesign of a transmission component has solved this problem. c.) We field‐test a new‐flavor soft drink, planning to market it only if we are sure that over 60% of the people like flavor. 2. Ch. 20; Ex. 22 According to the Association of American Medical Colleges, only 46% of medical school applicants were admitted to medical school in the fall of 2006. Upon hearing this, the trustees of Striving College expressed concern that only 77 of the 180 students in their class of 2006 who applied to medical school were admitted. The college president assured the trustees that this was just the kind of year‐to‐year fluctuation in fortunes that is to be expected and that, in fact, the school’s success rate was consistent with the national average. Who is right? a.) What are the hypotheses? b.) Verify that the conditions are satisfied and find the P‐Value c.) Are the trustees right to be concerned, or is the president correct? Explain. 3. Ch. 21; Ex. 4 Have harsher penalties and ad campaigns increased seat‐belt use among drivers and passengers? Observations of a commuter traffic failed to find evidence of a significant change compared with three years ago. Explain what the study’s P‐Vaue of 0.17 means in this context. 4. Ch. 21, Ex. 18 Testing for Alzheimer’s disease can be a long and expensive process, consisting of lengthy tests and medical diagnosis. Recently, a group of researchers (Solomon et al., 1998) devised a 7‐minute test to serve as a quick screen for the disease for use in the general population of senior citizens. A patient who is testing positive would then go through the more expensive battery of tests and medical diagnosis. The authors reported a false positive rate of 4% and a false negative rate of 8%. a.) Put this in the context of a hypothesis test. What are the null and alternative hypotheses? b.) What would a Type I Error mean? c.) A Type II Error? d.) Which is worse, a Type I or Type II Error? e.) What is the power of this test?
**Problem Set 6 Introduction to Statistics Professor Tan Due: Thursday, December 9 at 1:25 PM Hand in at beginning of class or upload to Cicada