Suppose that researchers are interested if people with permanent pacemakers are at a higher risk of sinus node dysfunction (inappropriate atrial rates). A sample of 486 people aged 50-70 years with permanent pacemakers were asked if they ever had a diagnosis of sinus node dysfunction and 85 said yes. Another sample of 510 people in the same age group without a pacemaker were asked if they ever had sinus node dysfunction and 71 said yes. What test(s) is/are appropriate for the analysis of these data? Check all that apply. Group of answer choices relative risk test chi-square contingency test odds ratio test binomial test
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- The data are categorical (presence or absence of sinus node dysfunction) in two independent groups (with pacemaker vs. without pacemaker). - The research question is whether having a pacemaker is associated with a higher risk of sinus node dysfunction. Show more…
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5. Let's say I wanted to be able to predict a person's systolic blood pressure from their sodium level. What test would allow me to create this prediction? 6. Five hundred employees of a firm that manufactures a product suspected of being associated with lung disorders were classified by level of exposure (exposed, no exposure) and whether or not they exhibited symptoms of lung disease. What would be an appropriate test to determine the association between disease (present or absent) and exposure? 7. The effects of 2 drugs on reaction time to a stimulus were studied in two separate groups. Group one was given drug A and Group two was given drug B. We want to determine if the samples differ in respect to their mean reaction time. What test do you perform?
Sri K.
Researchers were interested in whether patients with a history of angina are more likely to take anticoagulant drugs. (5 points) Angina2 * Taking anticoagulant drugs Crosstabulation Taking anticoagulant drugs Total Yes No Angina Yes Count 311 25 336 Expected Count 177.3 158.7 336.0 Std. Residual 10.0 -10.6 No Count 242 470 712 Expected Count 375.7 336.3 712.0 Std. Residual -6.9 7.3 Total Count 553 495 1048 Expected Count 553.0 495.0 1048.0 Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Pearson Chi-Square 314.204 1 .000 Continuity Correction 311.859 1 .000 Likelihood Ratio 358.893 1 .000 Fisher's Exact Test .000 .000 Linear-by-Linear Association 313.904 1 .000 N of Valid Cases 1048 Value 95% Confidence Interval Lower Upper Odds Ratio for angina2 (Yes / No) 24.160 15.623 37.363 For cohort Taking anticoagulant drugs = Yes 2.723 2.447 3.030 For cohort Taking anticoagulant drugs = No .113 .077 .165 N of Valid Cases 1048 Identify the null and alternate hypothesis. Interpret test statistic and state conclusion based on original hypothesis. Assume alpha = .05 Interpret the odds ratio based on original research hypothesis. Interpret the relative risk for those patients who take anticoagulant medications.
Patha S.
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