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Various statistical questions related to inferencing about means and proportions for two populations. The questions involve calculating confidence intervals and conducting hypothesis tests using given data. The data sets include ratings of international airports, heating costs for insulated and uninsulated houses, and other statistical problems from a textbook. Students are required to use excel to solve the problems.
Typology: Assignments
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1) The international Air Transportation Association surveyed business travelers to determine ratings of various international airports. The maximum possible rating score was 10. Suppose 50 business travelers were asked to rate the Miami airport, and 50 other business travelers were asked to rate the Los Angeles airport. The rating scores are stored in Question 1 – Data. a) Assuming standard deviations of Miami ratings and Los Angeles ratings are known as 12 = 2.2 and 22 = 2.4, develop a 95% confidence interval estimate of the difference between the mean ratings of the Miami and Los Angeles airport. b) How many travelers in Miami and Los Angeles should be surveyed to estimate the true average difference in rating to within ±0.5? c) Assuming standard deviations of Miami rating and Los Angeles ratings are not known ; develop a 95% confidence interval estimate of the difference between the mean ratings of the Miami and Los Angeles airport. **2) KELLER Book, Page 456, Question 13.
**11) KELLER Book, Page 475, Question 13.