Decision Making - Beginner Level: decision analysis BEGINNER

Boost your speed and accuracy with this beginner friendly 📈 worksheet. Worksheet 5 of 30 presents 20 beginner-level decision making problems. Focus on decision analysis while practicing decision analysis, outcome evaluation, decision criteria. Difficulty: foundational concepts and basic patterns. Perfect for entry-level test takers.

📝 Worksheet 5 of 30 • 20 questions • ⏱️ Estimated time: 20 minutes • 🎯 Beginner level

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Worksheet 5 of 30 (16% complete)

Question 1

Situation: Career decision for mid-level professional with family responsibilities (sole earner, 2 children) Considering risk assessment, what is the most appropriate decision?
As sole earner with family responsibilities, income stability is critical. The downside risk of startup failure (50%) or business failure (70%) is too high given family obligations.

Question 2

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 3

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 4

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 5

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.

Question 6

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 7

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 8

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 9

Situation: A professional can either: take a promotion with 20% raise but 10 hours more work weekly, or start a side business with potential for 50% income increase but high failure risk Considering opportunity costs, what is the best choice?
Promotion offers guaranteed 20% raise with known trade-offs. Side business has high failure risk (typically 50%+). The opportunity cost of not taking promotion is guaranteed income loss for uncertain gain.

Question 10

Decision: Invest in R&D for new product or improve existing product? Based on expected value analysis, what is the optimal strategy?
New product: 30% success → 500 profit, 70% failure → -200 loss = EV = 150-140=10. Improve existing: 80% success → 200 profit, 20% no gain = EV=160. Existing product improvement has higher EV.

Question 11

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 12

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 13

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 14

Situation: A professional can either: take a promotion with 20% raise but 10 hours more work weekly, or start a side business with potential for 50% income increase but high failure risk Considering opportunity costs, what is the best choice?
Promotion offers guaranteed 20% raise with known trade-offs. Side business has high failure risk (typically 50%+). The opportunity cost of not taking promotion is guaranteed income loss for uncertain gain.

Question 15

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 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

Scenario: Selecting employee benefits package Criteria weights: Employee satisfaction (35%), Cost to company (30%), Retention impact (25%), Administrative ease (10%) Scores: Health focus: 9/5/8/7, Retirement focus: 6/8/7/8, Work-life balance: 8/7/9/6 Based on weighted multi-criteria evaluation, which option should be selected?
Health=3.15+1.5+2.0+0.7=7.35; Retirement=2.1+2.4+1.75+0.8=7.05; Work-life=2.8+2.1+2.25+0.6=7.75. Work-life package optimizes across criteria.

Question 18

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 19

Scenario: Choosing a marketing strategy for product launch Criteria weights: Reach (30%), Engagement (30%), Cost (25%), Speed (15%) Scores: Digital: 9/8/7/9, Traditional: 6/7/8/5, Hybrid: 8/9/6/8 Based on weighted multi-criteria evaluation, which option should be selected?
Digital weighted=2.7+2.4+1.75+1.35=8.2; Traditional=1.8+2.1+2.0+0.75=6.65; Hybrid=2.4+2.7+1.5+1.2=7.8. Digital scores highest, but Hybrid balances all factors.

Question 20

Situation: A student needs to choose between two summer programs: Program A costs $2000, lasts 6 weeks, and provides college credit. Program B costs $1200, lasts 4 weeks, and offers internship experience. What should be the primary criterion for this decision?
This addresses the fundamental value proposition of each program's outcomes. College credit provides long-term academic value, while internship offers immediate practical experience. The choice depends on career goals, making this the primary criterion.
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