IHP 525 Quiz Four

1. A trial evaluated the fever-inducing effects of three substances. Study subjects were adults seen in an emergency room with diagnoses of the flu and body temperatures between 100.0 and 100.9F. The three treatments (aspirin, ibuprofen and acetaminophen) were assigned randomly to study subjects. Body temperatures were reevaluated 2 hours after administration of treatments. The below table lists the data.

Data Table: Decreases in body temperature (degrees Fahrenheit) for each patient

							Mean
Group 1 (aspirin)	0.95	1.48	1.33	1.28			1.26
Group 2 (ibuprofen)	0.39	0.44	1.31	2.48	1.39		1.20
Group 3 (acetaminophen)	0.19	1.02	0.07	0.01	0.62	-0.39	0.25

The ANOVA table that corresponds to this data is below.

1. State the research question that this ANOVA answers.
2. Answer your research question using the means in the Data Table and the ANOVA results.
3. Which treatment(s) would you recommend to reduce a fever for this population?
4. What type of tests could you conduct that would allow you to compare each treatment group to the other (2 at a time) without inflating the type I error ()?
5. Why is it important to make sure you do not increase the type I error?

ANOVA Table:

Fev_red	Sum of Squares	df	Mean Square	F	Sig.
Between groups	3.426	2	1.713	4.777	0.030
Within groups	4.303	12	0.359
Total	7.729	14

1. Evidence of nonrandom differences between group means occurs when the variance between groups is _____________________________________ the variance within groups.

1. Why are scatterplots helpful when investigating the association between quantitative variables?

1. The Pearson correlation statistic, r, is always greater than or equal to _____ and less than or equal to _____. Absolutely no association is present when r = ___. Between r = -0.56 and r = +0.46, the stronger correlation is _____.
2. A Pearson correlation statistic is only valid when the relationship between the two quantitative (continuous) variables is ____________.

1. Explain why it is true that the slope of a line is related to the Pearson correlation statistic, r.
2. make a scatterplot to investigate the association between the amount of fluoride in domestic water (ppm) and the number of dental caries in permanent teeth per 100 children for 21 cities. The data are below.
3. make the scatterplot
4. Describe the association you see in your scatterplot.
5. The value of r is -0.86, -0.36, 0.36, or 0.86?

CityID	FLUORIDE (ppm)	CARIES
1	1.9	236
2	2.6	246
3	1.8	252
4	1.2	258
5	1.2	281
6	1.2	303
7	1.3	323
8	0.9	343
9	0.6	412
10	0.5	444
11	0.4	556
12	0.3	652
13	0.0	673
14	0.2	703
15	0.1	706
16	0.0	722
17	0.2	733
18	0.1	772
19	0.0	810
20	0.1	823
21	0.1	1037

Data from Dean, H.T., Arnold, F. A., Jr., & Elvove, E. (1942). Domestic water and dental caries. Public Health Reports, 57, 1155-1179.