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Decreases in body temperature (degrees Fahrenheit)
Group 1 (aspirin)
0.95
1.48
1.33
1.28
Group 2 (ibuprofen)
0.39
0.44
1.31
2.48
1.39
Group 3 (acetaminophen)
0.19
1.02
0.07
0.01
0.62
-0.39
This trial evaluated the fever reducing effects of three substances. Study subjects were adults seen in an emergency room with diagnosis of flu with body temperatures between 100.0 degrees F to 100.9 degree F. The three treatments aspirin, ibuprofen, and acetaminophen were assigned randomly to study subjects. Body temperatures were reevaluated 2 hours after administration of treatments. Displays the above data with side-by-side box plots and calculate the mean and standard deviation of each group and describe what you find then produce an ANOVA for the problem. Conduct post hoc comparisons with the LSD method. Which groups differ significantly at α = 0.05?
Describe what you find then produce an ANOVA for the problem.
Test the hypothesis that no difference exists between the groups at α = .05 and perform and report all related tests and statistics.
Determine the probability of choosing at random license plate which ends in the even number?
The upper limit of a 95% confidence interval for the population mean would equal:
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Data in table represent number of consumer complaints against major U.S. airlines. If one complaint from table is arbitrarily chosen, determine the probability that it was filed against United Airlines.
Use a scatter plot to determine the relationship between the x values and the y values.
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For the data giben below, prepare a R-chart. Note that the sample size is three.
Based on this information, confidence level would be 90% that population mean is somewhere between?
You have two unbiased estimates, e 1 and e 2 , of a quantity with variances V 1 and V 2 respectively, and covariance Cov {e1,e 2 } = C. Form a new unbiased estimate:
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