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Applied Statistics Using SPSS, STATISTICA, MATLAB and R

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220 5 Non-Parametric Tests of Hypotheses<br />

variables describing the previous knowledge of Boole’s Algebra <strong>and</strong> binary arithmetic<br />

are independent.<br />

5.15 Redo Example 5.14 for the variable AB.<br />

5.16 The FHR dataset contains measurements of foetal heart rate baseline performed by<br />

three human experts <strong>and</strong> an automatic system. Is there evidence at the 5% level of<br />

significance that there is no difference among the four measurement methods? Is there<br />

evidence, at 5% level, of no agreement among the human experts?<br />

5.17 The Culture dataset contains budget percentages spent on promoting sport activities<br />

in samples of Portuguese boroughs r<strong>and</strong>omly drawn from three regions. Based on the<br />

sample evidence is it possible to conclude that there are no significant differences<br />

among those three regions on how the respective boroughs assign budget percentages<br />

to sport activities? Also perform the budget percentage comparison for pairs of regions.<br />

5.18 Consider the flow rate data measured at Cávado <strong>and</strong> Toco Dams included in the Flow<br />

Rate dataset. Assume that the December samples are valid r<strong>and</strong>om samples for that<br />

period of the year <strong>and</strong>, furthermore, assume that one wishes to compare the flow rate<br />

distributions at the two samples.<br />

a) Can the comparison be performed using a parametric test?<br />

b) Show that the conclusions of the sign test <strong>and</strong> of the Wilcoxon signed ranks test<br />

are contradictory at 5% level of significance.<br />

c) Estimate the power of the Wilcoxon signed ranks test.<br />

d) Repeat the previous analyses for the January samples.<br />

5.19 <strong>Using</strong> the McNemar Change test compare the pre <strong>and</strong> post-functional class of patients<br />

having undergone heart valve implant using the data sample of the Heart Valve<br />

dataset.<br />

5.20 Determine which variables are important in the discrimination of carcinoma from other<br />

tissue types using the Breast Tissue dataset, as well as in the discrimination<br />

among all tissue types.<br />

5.21 Consider the bacterial counts in the spleen contained in the Cells’ dataset <strong>and</strong> check<br />

the following statements:<br />

a) In general, the CD4 marker is more efficacious than the CD8 marker in the<br />

discrimination of the knock-out vs. the control group.<br />

b) However, in the first two weeks the CD8 marker is by far the most efficacious in<br />

the discrimination of the knock-out vs. the control group.<br />

c) Two months after the infection the biochemical markers CD4 <strong>and</strong> CD8 are unable<br />

to discriminate the knock-out from the control group.<br />

5.22 Based on the sample data included in the Clays’ dataset, compare the holocenic with<br />

pliocenic clays according to the content of chemical oxides <strong>and</strong> show that the main<br />

difference is in terms of alumina, Al2O3. Estimate what is the needed difference in<br />

alumina that will correspond to an approximate power of 90%.

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