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Sequential Decision Trees - Expert Level: conceptual clarity Sequential Decision Trees EXPERT

This skill evaluation ⚡ worksheet focuses on Sequential Decision Trees - a key topic in Decision Making. You'll solve 20 expert-level problems (Worksheet 9 of 10). The primary focus is on conceptual clarity. Master sequential decision trees ssc cgl, sequential decision trees reasoning tricks, and fast sequential decision trees solving through systematic practice.

📝 Worksheet 9 of 10 • 20 questions • ⏱️ Estimated time: 20 minutes • 🎯 Expert level

What you'll learn in this worksheet:
Your progress through Sequential Decision Trees
Worksheet 9 of 10 (88% complete)

Question 1

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 2

Decision: Outsource manufacturing or build in-house facility? Based on expected value analysis, what is the optimal strategy?
Outsource: guaranteed 300 cost savings. In-house: 70% chance of 500 savings, 30% chance of 100 loss → EV=350-30=320. Outsourcing gives guaranteed savings with lower risk.

Question 3

Decision: Accept job offer immediately or negotiate with current employer? Based on expected value analysis, what is the optimal strategy?
Accept: guaranteed 25% raise. Negotiate: 50% chance of 15% raise, 50% chance of 0% raise → expected = 7.5% raise. Guaranteed 25% > expected 7.5%.

Question 4

Decision: Outsource manufacturing or build in-house facility? Based on expected value analysis, what is the optimal strategy?
Outsource: guaranteed 300 cost savings. In-house: 70% chance of 500 savings, 30% chance of 100 loss → EV=350-30=320. Outsourcing gives guaranteed savings with lower risk.

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

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 7

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 8

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 9

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 10

Decision: Accept job offer immediately or negotiate with current employer? Based on expected value analysis, what is the optimal strategy?
Accept: guaranteed 25% raise. Negotiate: 50% chance of 15% raise, 50% chance of 0% raise → expected = 7.5% raise. Guaranteed 25% > expected 7.5%.

Question 11

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 12

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 13

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 14

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 15

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 16

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 17

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 18

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 19

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 20

Decision: Accept job offer immediately or negotiate with current employer? Based on expected value analysis, what is the optimal strategy?
Accept: guaranteed 25% raise. Negotiate: 50% chance of 15% raise, 50% chance of 0% raise → expected = 7.5% raise. Guaranteed 25% > expected 7.5%.
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