Decision Making - Intermediate-Advanced Level: decision criteria INTERMEDIATE-ADVANCED

Ready to master decision making? This time-bound test features 20 intermediate-advanced-level challenges. Worksheet 22 of 30 sharpens your decision criteria skills. Master decision logic, choice selection, optimal decisions through guided practice. Perfect for advanced developing test preparation.

📝 Worksheet 22 of 30 • 20 questions • ⏱️ Estimated time: 20 minutes • 🎯 Intermediate-advanced level

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Worksheet 22 of 30 (73% complete)

Question 1

Situation: Medical treatment decision for 75-year-old patient with heart condition Considering risk assessment, what is the most appropriate decision?
For an elderly patient, balancing success rate with mortality risk is key. Medication offers reasonable success (60%) with low mortality (5%), avoiding surgical risks while providing meaningful improvement.

Question 2

Decision: Hospital choosing between specialized cancer center or expanded general services Considering all stakeholder impacts, what is the most ethical and practical approach?
Greatest good for greatest number - 10,000 patients vs 500. General services impact broader community while cancer center serves niche population. This approach balances competing interests while prioritizing overall welfare.

Question 3

Situation: John has 4 hours of free time: study for exam (improve grades), work part-time job (earn $60), or exercise and relax (improve health) Considering opportunity costs, what is the best choice?
Long-term academic success typically has higher lifetime value than $60 or immediate health benefits. The opportunity cost of studying is short-term earnings, but education ROI justifies this choice.

Question 4

Situation: A government agency needs to allocate limited disaster relief funds between flood-prone and earthquake-prone regions. What should be the primary criterion for this decision?
Risk assessment should prioritize areas with highest probability of imminent disaster, as prevention is more effective than post-disaster relief.

Question 5

Situation: Emergency room with one ventilator left. Four patients need it: 20-year-old (90% survival), 40-year-old (70% survival), 60-year-old (50% survival), 80-year-old (30% survival). What is the best decision in this emergency situation?
Utilitarian approach - maximizing total life years saved. Youngest patient has highest potential remaining lifespan and good survival probability.

Question 6

Scenario: Selecting a candidate for promotion Criteria weights: Technical skills (30%), Leadership (30%), Experience (25%), Cultural fit (15%) Scores: Candidate P: 9/7/8/8, Candidate Q: 7/9/7/7, Candidate R: 8/8/9/9 Based on weighted multi-criteria evaluation, which option should be selected?
P=2.7+2.1+2.0+1.2=8.0; Q=2.1+2.7+1.75+1.05=7.6; R=2.4+2.4+2.25+1.35=8.4. Candidate R scores highest across all criteria.

Question 7

Situation: You're the captain of a ship that hits an iceberg. You have 30 minutes before sinking. 100 passengers, lifeboats capacity 80. What is the best decision in this emergency situation?
In maritime emergencies, traditional protocol prioritizes vulnerable populations. This maintains order, maximizes survival of those with least chance of self-rescue.

Question 8

Situation: A company can use $500,000 to: upgrade equipment (increase efficiency 20%), hire employees (expand capacity 30%), or keep as cash reserve (maintain financial stability) Considering opportunity costs, what is the best choice?
30% capacity expansion provides highest growth potential if market demand supports it. The opportunity cost of hiring is foregone efficiency gains, but capacity growth typically drives revenue more directly.

Question 9

Situation: Factory fire with 50 workers inside. You can either: try to extinguish fire (30% success, 10 minutes, saves all) or evacuate (100% success, 5 minutes, saves 40 workers). What is the best decision in this emergency situation?
Expected value: Extinguish = 50×0.3 = 15 expected saved; Evacuate = 40 guaranteed saved. Guarantee of 40 saved is better than 15 expected.

Question 10

Scenario: Choosing a location for new factory Criteria weights: Labor costs (25%), Logistics (25%), Tax incentives (20%), Skilled workforce (20%), Energy costs (10%) Scores: Location X: 8/7/9/6/8, Location Y: 6/8/7/9/7, Location Z: 7/9/6/8/9 Based on weighted multi-criteria evaluation, which option should be selected?
X=2.0+1.75+1.8+1.2+0.8=7.55; Y=1.5+2.0+1.4+1.8+0.7=7.4; Z=1.75+2.25+1.2+1.6+0.9=7.7. Location Z scores highest.

Question 11

Situation: Emergency room with one ventilator left. Four patients need it: 20-year-old (90% survival), 40-year-old (70% survival), 60-year-old (50% survival), 80-year-old (30% survival). What is the best decision in this emergency situation?
Utilitarian approach - maximizing total life years saved. Youngest patient has highest potential remaining lifespan and good survival probability.

Question 12

Situation: Medical treatment decision for 75-year-old patient with heart condition Considering risk assessment, what is the most appropriate decision?
For an elderly patient, balancing success rate with mortality risk is key. Medication offers reasonable success (60%) with low mortality (5%), avoiding surgical risks while providing meaningful improvement.

Question 13

Decision: Pharmaceutical company setting price for life-saving drug Considering all stakeholder impacts, what is the most ethical and practical approach?
Balances profit motive with access to medicine. Differentiated pricing maximizes revenue while ensuring affordability in developing nations. This approach balances competing interests while prioritizing overall welfare.

Question 14

Situation: Investment decision for conservative investor nearing retirement (5 years from retirement) Considering risk assessment, what is the most appropriate decision?
For a conservative investor nearing retirement, capital preservation is paramount. Government bonds provide guaranteed returns with zero loss risk, aligning with the short time horizon and risk tolerance.

Question 15

Decision: Pharmaceutical company setting price for life-saving drug Considering all stakeholder impacts, what is the most ethical and practical approach?
Balances profit motive with access to medicine. Differentiated pricing maximizes revenue while ensuring affordability in developing nations. This approach balances competing interests while prioritizing overall welfare.

Question 16

Situation: Technology adoption decision for traditional manufacturing company Considering risk assessment, what is the most appropriate decision?
Partial automation balances risk and reward - moderate investment ($800k) with good efficiency gain (40%) and acceptable failure risk (15%). Full automation's 30% failure risk on $2M is too high for traditional company.

Question 17

Decision: Expand to international market or focus on domestic growth? Based on expected value analysis, what is the optimal strategy?
International: 25% chance of 1000 profit, 75% chance of 100 loss → EV=250-75=175. Domestic: 60% chance of 400 profit, 40% chance of 50 loss → EV=240-20=220. Domestic focus has higher expected value.

Question 18

Situation: Business expansion decision for cash-strapped startup with limited runway (6 months of cash left) Considering risk assessment, what is the most appropriate decision?
With only 6 months runway, survival is priority. Maintaining current operations gives 90% survival chance with minimal investment, avoiding overextension risk.

Question 19

Situation: A hospital must choose between purchasing new MRI machine (improves diagnosis) or upgrading emergency room (reduces wait times). What should be the primary criterion for this decision?
In healthcare, patient outcomes should be the primary decision criterion. Both options improve care, but the one with greater impact on patient health should be prioritized.

Question 20

Decision: Launch new product now or wait 6 months for more market research? Based on expected value analysis, what is the optimal strategy?
Launch now: 40% success → expected value = 0.4×1000 = 400. Wait: 70% success after research → expected value = 0.7×900 = 630 (accounting for 100 research cost). Higher EV makes waiting optimal.
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