Math 1070-003 Exam 3 Review 15 April 2013 The following questions are designed to help you prepare for Exam 3. You should also study the relevant vocabulary, concepts, and formulas. You will be allowed one 8.5 × 5.5 sheet of paper (half of a letter-size sheet of paper) in the exam. The relevant tables will be provided for you. For each question, determine which procedures to use, and then carry out the hypothesis test or find the confidence interval. 1. A researcher believes that the weights (in grams) of adult males in two species of beetles follow the Normal distribution. He takes an SRS of each species and calculates the following information: Group n x s A 31 15 4.61 B 17 21 7.34 Is there strong evidence (at the level α = 0.10) that species B is larger than species A, on average? 2. Many years of data support the assumption that the lifetimes of bald eagles are Normally Distributed with mean 37 years and standard deviation 6 years. Rachel Carson finds that an SRS of 9 bald eagles in agricultural areas with long-term heavy DDT use have an average lifespan of 15 years. Is there sufficient evidence, at the level α = 0.10 that DDT causes bald eagles to die prematurely? Find a 99% confidence interval for the lifespan of bald eagles in the presence of DDT. 3. Some people claim that eating meat causes higher cancer rates. In the general population, 8.70% of adults ages 40-60 are diagnosed with some form of cancer. Let’s say that the cancer rate in a simple random sample of 300 adults ages 40-60 who eat meat is 8.92%. Is this difference significant at the level α = 0.05? (In other words, is there sufficient evidence to conclude that the proportion of meat-eaters who are diagnosed with cancer is higher than the proportion in the general population?) 4. Researchers want to determine whether children with obese parents are more likely to be obese. In a matched-pairs study, 10 single-child two-parent families with two obese parents were matched with similar families with two non-obese parents. The average difference between the children’s body mass indexes (obese parents minus non-obese parents) was 1.25 with sample standard deviation 0.97. Is there significant evidence (at the level α = 0.01) that children with obese parents are more likely to be obese? 5. The National Longitudinal Study of Adolescent Health interviewed several thousand teens (grades 7 to 12). One question asked was “What do you think are the chances that you will be married in the next ten years?” Here is a table of the responses by gender: Female Almost no chance 119 150 Some chance, but probably not A 50-50 chance 447 735 A good chance Almost certain 1174 Male 103 171 512 710 756 Is there evidence of a difference between male and female teenagers in their distributions of opinions about marriage? 6. Give an example of a Type I error. 7. Give an example of a Type II error. 8. Assuming that the null hypothesis (H0 : µ = µ0 ) is true, what distribution do each of the following statistics have? (Assume a random sample of size n, with σ, µ0 , x, s, etc as usual.) x − µ0 (a) z = σ √ / n x − µ0 (b) t = s √ / n p̂ − p0 (c) z = q p̂(1−p̂) n 9. What is the relationship between the margin of error of a 99% confidence interval and the margin of error of a 90% confidence interval, calculated from the same data? 10. Suppose that Alice and Bob are researchers studying the same variable in the same population. They find the same sample mean and sample standard deviation and are testing the same hypotheses, but Alice’s study has a larger sample size than Bob’s. What can you say about the P -value of Alice’s hypothesis test in relation to Bob’s? Page 2