Statistics Study Material

STATISTICS
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Question 1
(a) The requisite contingency table as obtained from SPSS based on the data provided is shown
below.
(b) The objective is to determine the female patient proportion who have experienced ‘Coronary
Artery Disease’
Favorable cases i.e. female patients with ‘Coronary Artery Disease’ =15
Total cases i.e. patient count= 146
Requisite probability = (15/146) = 0.1027
(c) The objective is to determine the male patient proportion from the patients who have
experienced ‘Silent Ischemia’
Favorable cases i.e.male patients with ‘Silent Ischemia’ = 13
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Total cases i.e.patients experiencing ‘Silent Ischemia’ = 20
Requisite probability = 13/20 = 0.65
(d) In order to determine if there is any association between type of cardiac arrest and gender,
the two types of cardiac arrest i.e. “coronary heart disease” and “arrhythmia” have been
considered. The requisite incidence of these two types of cardiac arrests has been indicated
in the conditional table indicated below.
Patients who have suffered fromarrhythmia= 58
Proportion of male amongst the patients of arrhythmia = (29/58) = 50%
Proportion of female amongst the patients of arrhythmia = (29/58) = 50%
Patients who have suffered from coronary artery disease = 44
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Proportion of male amongst the patients of coronary artery disease = (29/44) = 65.91%
Proportion of female amongst the patients of coronary artery = (15/44) = 34.09%
The above calculations clearly highlight that gender and type of cardiac arrest tend to have an
association since the conditional probabilities associated with different genders under different
forms of cardiac arrest is not the same.
Question 2
(a) The following histogram indicates the distribution related to the patients height.
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