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Hypothesis Testing: Bio statistics

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See data file attached.

CD4 % LYMPHOCYTES WBC (X1000/ul) HB (g/dl) PLATELETS (x1000/ul) MCV (f/l)

1. Analyze the test data (for the assays given above A, B, C, C, D, E) at the 1, 5, 9 month time points.

2. Determine if the results for each assay at the respective time points do not differ at the 95% significance level.

For Example given assay A (CD4%) there are 160 values for each time point (i.e. 160 for 3 mos, 160 for 5 mos, 160 for 9 mos).

We want to determine if the data sets for this assay at the 3 time points are "the same" (i.e. do not differ from each other) with a 95% significance.

Do this analysis for the remaining assays (B, C, D, and E) and summarize the results. (i.e. do the data sets for the respective assays at the time points differ significantly or can the time points be combined such that each assay has?
3 X 160 values for each assay.

Please use Minitab for the statistical tests if possible (excel is not acceptable)

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Solution Summary

This solution gives the step by step method for ANOVA using MINITAB.

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BioStatistics: Effect of cigarette smoking on the development of myocardial infarction

An investigator wishes to study the effect of cigarette smoking on the development of myocardial infarction (MI) in women. A sample of 2000 disease-free current smoking women and 100 disease-free ex-smoking women, aged 50-59, are identified in 1996, and the incidence of MI between 1996 and 1998 is noted at follow-up visits 2 years later. Investigators find that 40 currently smoking women and 10 ex-smoking women have developed the disease.

a. Is a one-sample or a two-sample test needed here?
b. Is a one-sided or a two-sided needed here?
c. What is the hypothesis?
d. Which of the following test procedure should be used to test this hypothesis? (More than one may be necessary)
i. Ï?2 test for 2x2 contingency tables
ii. Fisher's exact test
iii. McNemar's test
iv. One sample binomial test
v. One sample t test
vi. Two sample t test with equal variance
e. Carry out the test procedure(s) mentioned in (d) and report the p-value.
f. Compute the odds ratio and its 95% confidence interval.
g. Compare the results from (e) and (f). Are they consistent? What is your final conclusion for the investigator?

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