(a) Perform a statistical analysis of the data (including hypothesis testing and confidence interval construction) that you think would yield useful information for the researchers.

(b) Construct graphs that you think would be helpful in illustrating the relationships among variables.

(c) Where you think appropriate, use techniques learned in other chapters, such as analysis of variance and hypothesis testing and interval estimation regarding means and proportions.

(d) Determine p values for each computed test statistic.

(e) State all assumptions that are necessary to validate your analysis.

(f) Describe the population(s) about which you think inferences based on your analysis would be applicable.

(g) If available, consult the cited reference and compare your analyses and results with those of the authors.

Bean et al. (A-22) conducted a study to assess the performance of the isoelectric focusing/ immunoblotting/laser densitometry (IEF/IB/LD) procedure to evaluate carbohydrate-deficient transferrin (CDT) derived from dry blood spots. The investigators evaluated paired serum (S) and dry blood spot (DBS) specimens simultaneously for CDT. Assessment of CDT serves as a marker for alcohol abuse. The use of dry blood spots as a source of CDT for analysis by IEF/IB/LD results in simplified sampling, storage, and transportation of specimens. The follow- ing are the IEF/IB/LD values in densitometry units (DU) of CDT from 25 serum and dry blood spot specimens: Specimen No. 1 2 3 4 5 6 7 8 9 10 11 12 13 S 64 74 75 103 10 22 33 10 31 30 28 16 13 DBS 23 38 37 53 9 18 20 5 14 15 12 9 7 Specimen No. 14 15 16 17 18 19 20 21 22 23 24 25 S 9 10 17 38 9 15 70 61 42 20 58 31 DBS 13 8 7 14 9 9 31 26 14 10 26 12