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NUR-MED Biostats Predictor Exam 2025–2026 — Complete Practice Questions & Verified Answers | Cross-Sectional Cohort Case-Control | Instant Download

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This NUR-MED Biostats Predictor Exam (2025–2026 edition) is a focused, exam-ready study pack built for advanced nursing and medical students preparing for predictor tests and course assessments. The guide centers on practical biostatistics concepts frequently tested in clinical programs: study design comparisons (cross-sectional vs cohort vs case-control), measures of association (odds ratio, relative risk, attributable risk), hypothesis testing (chi-square), and clinical impact metrics such as number needed to treat (NNT). Each item includes a clear answer and concise rationale to reinforce interpretation and test-taking strategy. The content emphasizes decision rules: use chi-square for cross-sectional prevalence studies, relative risk or attributable risk for cohort incidence studies, and odds ratio for case-control designs. Worked examples (including NNT calculations and 2×2 contingency interpretation) demonstrate step-by-step computation and clinical interpretation so learners can convert numbers into meaningful patient-care decisions. Ideal for last-minute review, predictor practice, or curriculum alignment, this pack sharpens statistical literacy, strengthens critical thinking, and boosts confidence with real-style exam questions. Updated for 2025–2026 and optimized for exam performance, the resource is perfect for nurse exam candidates, NP students, and med-school preparatory courses.

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NUR-MED BIOSTATS PREDICTOR EXAM COMPLETELY UPDATED
2025–2026 EDITION | VERIFIED QUESTIONS & 100% ACCURATE
ANSWERS | GUARANTEED A+ PERFORMANCE
which one of the following can be used for data analysis in Cross sectional?
1. Odds ratio
2. Relative risk
3. Chi square test ***
4. Attributable risk and Chi square test
5. odds ratio and attributable risk
cross sectional: use CHI SQUARE
Cohort: use RR or AR
Case control: use ODD's RATIO



Which is the best study to find out the state of Vitamin D deficiency in
Australia?
a..cohort
b..case control
c..case study
d..Cross-‐sectional study.***
For Prevalance Cross Sectional Study ..... to check incidence Cohort .... So
D here




Two groups are being studied for risk reduction for some disease with aspirin
use. Tables are given as follows.
Aspirin used aspirin not used
Got disease 10 20
Disease free 990 980
Calculate NNT for this?
a. 10
b. 100 ***
c. 1000

,2|Page


its incidance 10 among 1000 population right so inverse of it is
1000/10=100\
The question says 10 got disease amongst 1000 people who used aspirin and
20 amongst those who did not use it so take the total number which is 1000/
10 = 100 is ur ans.




In a village of 3000 people, 500 get Congo Hemorrhagic fever. 450 eventually
recover from the disease in the next 4 weeks while 50 died. What is the case
fatility rate for this disease?
1. 10 ***
2. 20
3. 35
4. 50
5. 200
Case fatality rate = # of deaths from a specific cause / total number of cases
with same disease...

= 10 (A)




You are a doctor in a town ,where 6people out of 100 are non smoker.What are
the chances of stroke.the chances of stroke in smoker is 50%more than non
smoker .Now the pharmaceutical company is introducing a medicine which
reduces the chances of stroke upto 1/3rd in smoker population .What is the
percentage of the stroke population
will get stroke
a)3%
b)6% ***
c)9%
d)12%
e)20%

, 3|Page


6/100 = 6%, 6*1.5 = 9 , 1/3rd reduced so 9/3 = 3, => 9-3 = 6%
9/3 is to calculate reduction which is 1/3 so 9/3. Final level is if you
substract the 1/3 reduction from the 50% increased incidence that will give
you final incidence or
prevalence whatever is asked in the stem.
just take it as in general population this risk is 6/100 ... for smokers it turns
to be 9/100 as gnrl population has 50% less thn smokers... so in smokers
risk is reduced to one third ... so we ll take 1/3rd of 9 which ll be 3 nd
subtarct it from orignal risk of 9 in smokers nd v ll be left wid 6




 In a small village of North QLD with a community of 3000 people,
18%females get URTI while 22% males get it as well who are exposed to
factory smoke. 10% of females also get URTI who live away from the
factory and are not exposed to factory smoke. The data for males is not
available. Calculate the attributable risk for females to get URTI due to
factory smoke?
1. 28%
2. 30%
3. 6%
4. 1.8%
5. 8% ***
ARR =risk in exposed Group - risk in Unexposed group So 18 - 10 = 8%




A study wish to make a relation btw the fatigue in track car driver in high ways
& the incidence of MVA happen. wt is the most suitable method to carry out
study?
a, cohort
b, case control ***
c, RCT
D,cross sectional
E,case study

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