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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
Reconsider the filtration rate–moisture content data introduced in Example 12.6
a. Compute a 90% CI for ß0 + 125ß1, true average moisture content when the filtration rate is 125.
b. Predict the value of moisture content for a single experimental run in which the filtration rate is 125 using a 90% prediction level. How does this interval compare to the interval of part (a)? Why is this the case?
c. How would the intervals of parts (a) and (b) compare to a CI and PI when filtration rate is 115? Answer without actually calculating these new intervals
d. Interpret the hypotheses
Â
 and then carry out a test at significance level .0
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