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Statistical Analysis Homework Solutions: Confidence Intervals for Means and Differences - , Assignments of Statistics

Solutions to statistical analysis homework problems related to finding confidence intervals for population means and differences between means. The problems involve calculating point estimates, standard deviations, and confidence intervals using given data sets. The document also covers the relationship between confidence level and interval width, as well as the impact of sample size on interval width.

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Pre 2010

Uploaded on 12/16/2006

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Download Statistical Analysis Homework Solutions: Confidence Intervals for Means and Differences - and more Assignments Statistics in PDF only on Docsity! Stat 4706 HW 2 Solutions Total Points Possible: 26 Instructions: Show all work. Calculations of x-bar and s and intermediate calculations may be done with a calculator or software, but do not use any software programs to generate the interval for you. 1) Methyl t-butyl ether (MTBE) is an organic water contaminant that often results from gasoline spills. The level of MTBE is thought to follow a normal distribution. The level of MTBE (in parts per billion) was measured for a sample of 12 well sites located near a gasoline service station in New Jersey, with the following results: 150, 367, 38, 11, 134, 12, 251, 63, 8, 13, 107. a) Find a point estimate for the population mean MTBE level for all well sites located near that NJ gasoline station. b) Calculate a 90% confidence interval for the population mean. c) Calculate a 99% confidence interval for the population mean. What happens to the width of the interval when we increase the confidence level? Worth 2 points Worth 2 points: -1 if formula correct bur answer is wrong Worth 1 point: -1 if relationship between confidence level and interval width is not mentioned d) Suppose we took a new sample of 25 well sites and found a sample mean and standard deviation equal to those for the above sample. Calculate a 90% confidence interval for the population mean using n=25. What happens to the width of the interval when we increase the sample size? 2) The Journal of Environmental Engineering (2/86) reported on a heat transfer model designed to predict winter heat loss in wastewater treatment clarifiers. The analysis involved a comparison of clear-sky solar irradiation for horizontal surfaces at different sites in the Midwest. The day-long solar irradiation levels (in BTU/sq. ft.) at two Midwestern locations of different latitudes (St. Joseph, MO and Iowa Great Lakes) were recorded on each of seven clear-sky winter days. The data are given in the table below. Find a 95% confidence interval for the mean difference between the day-long clear-sky solar irradiation levels at the two sites. Day St. Joseph Iowa Great Lakes Difference Difference-Squared Day 1 782 593 189 35721 Day 2 956 672 284 80656 Day 3 948 750 198 39204 Day 4 1181 988 193 37249 Day 5 1414 1226 188 35344 Day 6 1633 1462 171 29241 Day 7 1852 1698 154 23716 Total 1377 281131 Worth 2 points: -1 if formula correct bur answer is wrong Worth 1 point: -1 if relationship between sample size and interval width is not mentioned
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