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Material Type: Exam; Class: Statistics 2 - Intermediate; Subject: Statistics; University: Carleton University; Term: Forever 1989;
Typology: Exams
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TEST #1 – ECON 2202 – TUESDAY, JANUARY 26, 2010 – Professor Dubey
1. The test lasts 1 hour and 30 minutes It is worth 100 marks, and contains two sections: a. Section A – 79 marks : 4 long-answer questions. Full explanations required. Use 5-step method for hypothesis tests and confidence intervals. Round answers to at least 4 decimal places. b. Section B – 20 marks : 5 short-answer questions. No explanations required, though they may earn part-marks if your answer is incorrect or incomplete. c. 1 bonus mark to start. If your solutions are not legible or tidy, you will lose this mark. PART A –79 MARKS – LONG ANSWER QUESTIONS. For full marks, you must show your work, including the formulae used, and use the 5-step method. Q1. (18) A study is conducted on the amount of time teenagers spend on the internet, which is normally distributed for both boys and girls. The population variances are unknown and unequal. Data from a random sample of teenage girls and boys are summarized below. Sample Results Boys (Population 1) Girls (Population 2) Sample Size 16 9 Average Daily Internet Use (in hrs) 3.2 2 Standard Deviation (s) 4 1. You are also told (do not waste time verifying these calculations!):
1 2 2 2 2 2 2 1 2 1 2 1 2 2 2 2 1 2 1
a) (2) State (do not calculate) the formula to build a 95% confidence interval (CI) for the difference in average daily Internet Use between boys and girls. b) (2) Calculate the point estimate for the 95% CI. c) (2) Determine the degrees of freedom for the 95% CI. d) (2) Calculate the standard error in this question. e) (10) Test the belief of Internet providers that boys and girls spent the same time on the internet, on average, using a 5% significance level.
Q2. (25) Are people in their 30s more likely to get the H1N1 vaccine than people in their 20s? Two
Canadians in their 30s Population 1 Canadians in their 20s Population 2 Sample Size 50 50 Number vaccinated = Number of Successes
a. (3) Determine if the CLT applies to each population. b. (10) Test if People in their 30s are more likely to get the H1N1 vaccine than People in their 20s (i.e. if Population 1 has a larger proportion of success than Population 2). Use α = 0. c. (10) Construct a 90% Confidence Interval for the difference in population proportions. d. (2) Would you have concluded from your CI that the two age groups were different? Explain. Q3. (20) Final grades for Carleton’s MA and PhD students are normally distributed. A random sample is drawn from each group (both samples independent), and the following results are obtained. Using a significance level of 10%, test the following research hypotheses: MA (Sample 1) PhD (Sample 2) x 1 (^) 68 x 2 64 s 1 (^) 6 s 2 8 n 1 (^) 13 n 2 9 a. (10) The marks of both groups have the same population variance. b. (10) The marks of PhD students have a population standard deviation less than 10. Q4. (16) A movie theatre wants to determine if movie-goers watched the same number of movies in 2009 as they did in 2008 (i.e. if the difference is zero). They contact 5 people at random and ask how many movies each person watched in each year. (Assume movie watching is normally distributed): 2009 2008 11 12 22 24 6 4 12 10 26 22 a. (6) Calculate the sample average and sample variance for this paired sample. b. (10) Calculate the 95% CI for the difference in average movies watched (between 2009 and 2008).