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Assumption Negation Test Beginner-Intermediate Worksheet: Focus on common variations practice Assumption Negation Test BEGINNER INTERMEDIATE

Level up your Assumption Negation Test skills! You're at Worksheet 4 of 10 (33% through this series). This step-up challenge worksheet features 20 beginner-intermediate-level problems with a focus on common variations practice. Topics covered: assumption negation test for competitive exams, how to solve assumption negation test, assumption negation test tricks.

📝 Worksheet 4 of 10 • 20 questions • ⏱️ Estimated time: 20 minutes • 🎯 Beginner Intermediate level

What you'll learn in this worksheet:
Your progress through Assumption Negation Test
Worksheet 4 of 10 (33% complete)

Question 1

Argument: This new medicine should be approved because clinical trials show it's effective for 85% of patients. Consider the assumption: '85% effectiveness is clinically meaningful' If we negate this assumption (assume the opposite), does it break the argument?
Yes — If the effect size is trivial, approval isn't justified

Negation test: If '85% effectiveness is NOT clinically meaningful' then the argument 'fails'.

Question 2

Argument: We should hire Maria as our lead developer because she has 10 years of experience in our industry. Consider the assumption: 'Maria wants the position' If we negate this assumption (assume the opposite), does it break the argument?
No — Even if she doesn't want it, we could still argue we should hire her (though she'd decline)

Negation test: If 'Maria does NOT want the position' then the argument 'still could hold'.

Question 3

Argument: We should hire Maria as our lead developer because she has 10 years of experience in our industry. Consider the assumption: 'Maria wants the position' If we negate this assumption (assume the opposite), does it break the argument?
No — Even if she doesn't want it, we could still argue we should hire her (though she'd decline)

Negation test: If 'Maria does NOT want the position' then the argument 'still could hold'.

Question 4

Argument: This new medicine should be approved because clinical trials show it's effective for 85% of patients. Consider the assumption: 'Clinical trial results apply to the general population' If we negate this assumption (assume the opposite), does it break the argument?
Yes — If trials don't generalize, the evidence is invalid for approval

Negation test: If 'Clinical trial results do NOT apply to the general population' then the argument 'fails'.

Question 5

Argument: This new medicine should be approved because clinical trials show it's effective for 85% of patients. Consider the assumption: '85% effectiveness is clinically meaningful' If we negate this assumption (assume the opposite), does it break the argument?
Yes — If the effect size is trivial, approval isn't justified

Negation test: If '85% effectiveness is NOT clinically meaningful' then the argument 'fails'.

Question 6

Argument: This new medicine should be approved because clinical trials show it's effective for 85% of patients. Consider the assumption: 'Side effects are acceptable' If we negate this assumption (assume the opposite), does it break the argument?
Yes — Unacceptable side effects would block approval regardless of efficacy

Negation test: If 'Side effects are NOT acceptable' then the argument 'fails'.

Question 7

Argument: The new traffic light at Main Street will reduce accidents because it will control the previously dangerous intersection. Consider the assumption: 'Drivers will obey the traffic light' If we negate this assumption (assume the opposite), does it break the argument?
Yes — If drivers ignore it, the light won't reduce accidents

Negation test: If 'Drivers will NOT obey the traffic light' then the argument 'fails'.

Question 8

Argument: We should hire Maria as our lead developer because she has 10 years of experience in our industry. Consider the assumption: 'Maria wants the position' If we negate this assumption (assume the opposite), does it break the argument?
No — Even if she doesn't want it, we could still argue we should hire her (though she'd decline)

Negation test: If 'Maria does NOT want the position' then the argument 'still could hold'.

Question 9

Argument: This new medicine should be approved because clinical trials show it's effective for 85% of patients. Consider the assumption: 'Clinical trial results apply to the general population' If we negate this assumption (assume the opposite), does it break the argument?
Yes — If trials don't generalize, the evidence is invalid for approval

Negation test: If 'Clinical trial results do NOT apply to the general population' then the argument 'fails'.

Question 10

Argument: This new medicine should be approved because clinical trials show it's effective for 85% of patients. Consider the assumption: '85% effectiveness is clinically meaningful' If we negate this assumption (assume the opposite), does it break the argument?
Yes — If the effect size is trivial, approval isn't justified

Negation test: If '85% effectiveness is NOT clinically meaningful' then the argument 'fails'.

Question 11

Argument: This new medicine should be approved because clinical trials show it's effective for 85% of patients. Consider the assumption: 'Side effects are acceptable' If we negate this assumption (assume the opposite), does it break the argument?
Yes — Unacceptable side effects would block approval regardless of efficacy

Negation test: If 'Side effects are NOT acceptable' then the argument 'fails'.

Question 12

Argument: We should hire Maria as our lead developer because she has 10 years of experience in our industry. Consider the assumption: 'Industry experience is relevant to job performance' If we negate this assumption (assume the opposite), does it break the argument?
Yes — If experience isn't relevant, then her 10 years don't justify hiring her

Negation test: If 'Industry experience is NOT relevant to job performance' then the argument 'fails'.

Question 13

Argument: The new traffic light at Main Street will reduce accidents because it will control the previously dangerous intersection. Consider the assumption: 'The intersection currently has accidents' If we negate this assumption (assume the opposite), does it break the argument?
No — Could still prevent future accidents even if none currently

Negation test: If 'The intersection has NO accidents currently' then the argument 'still could hold'.

Question 14

Argument: This new medicine should be approved because clinical trials show it's effective for 85% of patients. Consider the assumption: '85% effectiveness is clinically meaningful' If we negate this assumption (assume the opposite), does it break the argument?
Yes — If the effect size is trivial, approval isn't justified

Negation test: If '85% effectiveness is NOT clinically meaningful' then the argument 'fails'.

Question 15

Argument: The new traffic light at Main Street will reduce accidents because it will control the previously dangerous intersection. Consider the assumption: 'The light will be properly maintained' If we negate this assumption (assume the opposite), does it break the argument?
Yes — A malfunctioning light could increase accidents

Negation test: If 'The light will NOT be properly maintained' then the argument 'fails'.

Question 16

Argument: This new medicine should be approved because clinical trials show it's effective for 85% of patients. Consider the assumption: 'The medicine is affordable' If we negate this assumption (assume the opposite), does it break the argument?
No — Approval doesn't depend on affordability; that's a separate issue

Negation test: If 'The medicine is NOT affordable' then the argument 'still could hold'.

Question 17

Argument: We should hire Maria as our lead developer because she has 10 years of experience in our industry. Consider the assumption: 'Maria wants the position' If we negate this assumption (assume the opposite), does it break the argument?
No — Even if she doesn't want it, we could still argue we should hire her (though she'd decline)

Negation test: If 'Maria does NOT want the position' then the argument 'still could hold'.

Question 18

Argument: We should hire Maria as our lead developer because she has 10 years of experience in our industry. Consider the assumption: 'The salary budget can accommodate her' If we negate this assumption (assume the opposite), does it break the argument?
Yes — If we can't afford her, the recommendation fails

Negation test: If 'The salary budget cannot accommodate her' then the argument 'fails'.

Question 19

Argument: The new traffic light at Main Street will reduce accidents because it will control the previously dangerous intersection. Consider the assumption: 'The light will be properly maintained' If we negate this assumption (assume the opposite), does it break the argument?
Yes — A malfunctioning light could increase accidents

Negation test: If 'The light will NOT be properly maintained' then the argument 'fails'.

Question 20

Argument: We should hire Maria as our lead developer because she has 10 years of experience in our industry. Consider the assumption: 'Maria wants the position' If we negate this assumption (assume the opposite), does it break the argument?
No — Even if she doesn't want it, we could still argue we should hire her (though she'd decline)

Negation test: If 'Maria does NOT want the position' then the argument 'still could hold'.
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