health officer thinks that there is an association between diabetes (DM) and hypertension (HPT). He believes that those with DM are more likely to have HPT as well. For his research, from the hospital records, he selected a random sample of 400 patients, 300 with DM and 100 without DM. Out of the 300 DM patients, 60 had HPT as well and out of the 100 non DM patients 10 had HPT. He also recorded the patients’ gender. With the data, he performed two analyses, one for all policyholders and the other by gender. The following are some of the output from SPSS. Must the manager consider gender as well in this case? If yes, stating the evidence, explain why. If you are the health officer, how would the results above help you in making decision? What other variables, if any, should be considered as well?

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A health officer thinks that there is an association between diabetes (DM) and hypertension (HPT). He believes that those with DM are more likely to have HPT as well. For his research, from the hospital records, he selected a random sample of 400 patients, 300 with DM and 100 without DM. Out of the 300 DM patients, 60 had HPT as well and out of the 100 non DM patients 10 had HPT. He also recorded the patients’ gender. With the data, he performed two analyses, one for all policyholders and the other by gender. The following are some of the output from SPSS.

  1. Must the manager consider gender as well in this case? If yes, stating the evidence, explain why.
  2. If you are the health officer, how would the results above help you in making decision?
  3. What other variables, if any, should be considered as well?

 

Table 1
ΗPΤ
Total
Yes
No
Yes
60
240
300
DM
No
10
90
100
Total
70
330
400
Table 2
Value
Df
Asymp. Sig. (2-sided)
Pearson Chi-Square
5.195
1
0.023
Table 3
Asymp. Sig. (2-sided)
0.038
Gender
Value
Df
Pearson Chi-Square
Female Pearson Chi-Square
Male
4.301
1
1.524
1
0.217
Transcribed Image Text:Table 1 ΗPΤ Total Yes No Yes 60 240 300 DM No 10 90 100 Total 70 330 400 Table 2 Value Df Asymp. Sig. (2-sided) Pearson Chi-Square 5.195 1 0.023 Table 3 Asymp. Sig. (2-sided) 0.038 Gender Value Df Pearson Chi-Square Female Pearson Chi-Square Male 4.301 1 1.524 1 0.217
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