Witte & Witte, 9e Chapter 12 Page 1 of 3 Pages Chapter 12: Estimation (Confidence Intervals) Exercise 1 The American Wedding Study 2009 provides information related to weddings in the United States. The results are based on a sample of 3,946 brides. Calculate the standard error and construct a 95 percent confidence interval for the unknown population mean. Sources: http://honeymoons.about.com/cs/eurogen1/a/weddingstats.htm http://press.brides.com/Bridescom/PressReleases/Article2073.htm http://www.housewares.org/kc/gourmet/4.aspx a. Average total amount spent on a wedding is $28,082. Assume that the population standard deviation equals $6,000. b. Average number of guests at a destination wedding equals 90. Assume that the population standard deviation equals 20 guests. c. Average age of the bride is 27 years. Assume that the population standard deviation equals 2 years. d. Average age of the groom is 29 years. Assume that the population standard deviation equals 2 years. e. The couple is engaged for an average of 14 months. Assume that the population standard deviation equals 3 months. f. The average amount spent on an engagement ring is $6,348. Assume that the population standard deviation equals $1,000. Answers: a. b. c. d. e. f. Standard Error = 95.52; 95% CI: $27,894.78 - $28,269.22 Standard Error = 0.32; 95% CI: 89.37 – 90.63 Standard Error = .03; 95% CI: 26.94 – 27.06 Standard Error = .03; 95% CI: 28.94 – 29.06 Standard Error = .05; 95% CI: 13.90 – 14.10 Standard Error = 15.92; 95% CI: $6,316.80 - $6,379.20 Exercise 2 The 2006-2007 Consumer Expenditure Survey for the Baltimore Metropolitan area provided information on average annual expenditures. Source: http://www.bls.gov/ro3/cexbalt.pdf. Use a sample size of 100 for each of the following problems. a. Mean spent on food at home = $3,386. Assume that the population standard deviation equals $700. (1) Compute a 95% confidence interval and calculate the confidence interval width. 1 Witte & Witte, 9e Chapter 12 Page 2 of 3 Pages (2) Compute a 99% confidence interval and calculate the confidence interval width. b. Mean spent on food away from home = $2,836. Assume that the population standard deviation equals $650. (1) Compute a 95% confidence interval and calculate the confidence interval width. (2) Compute a 99% confidence interval and calculate the confidence interval width. c. Mean spent on entertainment = $2,726. Assume that the population standard deviation equals $500. (1) Compute a 95% confidence interval and calculate the confidence interval width. (2) Compute a 99% confidence interval and calculate the confidence interval width. d. Mean spent on tobacco products and smoking supplies = $229. Assume that the population standard deviation equals $80. (1) Compute a 95% confidence interval and calculate the confidence interval width. (2) Compute a 99% confidence interval and calculate the confidence interval width. Problem 1 Answers: a. (1) 95% CI: $3,248.80 - $3,523.20; Width = $274.40 (2) 99% CI: $3,205.40 - $3,566.60; Width = $361.20 b. (1) 95% CI: $2,708.60 - $2,963.40; Width = $254.80 (2) 99% CI: $2,668.30 - $3,003.70; Width = $335.40 c. (1) 95% CI: $2,628.00 - $2,824.00; Width = $196.00 (2) 99% CI: $2,597.00 - $2,855.00; Width = $258.00 d. (1) 95% CI: $213.32 - $244.68; Width = $31.36 (2) 99% CI: $208.36 - $249.64; Width = $41.28 2. Look at your problem 1 results and present a summary statement regarding the relationship between the 95% confidence interval and 99% confidence interval for the same set of data. Answer: The 99% confidence interval is wider than the 95% confidence interval. Exercise 3 A Harris poll conducted in July 2009 asked respondents to indicate the prestige they associated with a number of different professions. The top choice was the profession of firefighter. The results indicated that 62% of the respondents thought that the profession of firefighter had very great prestige, with a margin of error of +/- 4% for a 95% confidence interval. Source: http://www.pollingreport.com/work.htm 2 Witte & Witte, 9e Chapter 12 Page 3 of 3 Pages a. Calculate the lower and upper bounds of the 95% confidence interval. b. Calculate the confidence interval width. c. Based on the 95% confidence interval, is it likely that the true population proportion is equal to 50 percent? Explain your answer. d. Based on the 95% confidence interval, is it likely that the true population proportion is equal to 60 percent? Explain your answer. Answers: a. Lower bound = 58%; Upper bound = 66% b. Confidence interval width = 66 – 58 = 8 c. No; We are 95% confident that the true proportion falls between 58% and 66%. The suggested proportion of 50% is less than the lower bound of the confidence interval. d. Yes; We are 95% confident that the true proportion falls between 58% and 66%. The suggested proportion of 60% is captured in this interval. 3