Bar Course Aptitude Test (BCAT) Inference Syllabus

Inference syllabus — full chapter and topic list

Expand any chapter to see its topics and sub-topics. This is the whole examinable outline for Inference in Bar Course Aptitude Test (BCAT), not a summary of it.

1. 1

   Concept of an Inference

   3 topics

   • Definition of inference in the Watson Glaser sense
     • Conclusion drawn from observed or supposed facts
     • Degrees of truth rather than absolute certainty
   • The five-point response scale
     • True
     • Probably True
     • Insufficient Data
     • Probably False
     • False
   • Reasoning only from the passage, not outside knowledge
2. 2

   Calibrating Degrees of Probability

   4 topics

   • Distinguishing True from Probably True
     • Direct support versus likely-but-not-certain support
     • The role of qualifiers and hedging language
   • Distinguishing False from Probably False
   • Identifying Insufficient Data
     • When the passage neither supports nor contradicts
     • Resisting the urge to fill gaps with assumptions
   • Common probability misjudgements
3. 3

   Avoiding Inference Traps

   4 topics

   • Importing real-world knowledge
     • Treating well-known facts as if stated
     • Personal opinion contaminating the answer
   • Overstating support
     • Reading Probably True as True
     • Plausibility versus evidential support
   • Misreading scope and quantity words
   • Worked examples and self-correction

Inference flashcards for Bar Course Aptitude Test (BCAT)

22 of 52 cards from the Inference deck — real questions with worked answers.

1. In the Watson Glaser sense, what is an 'inference'?

   A conclusion a person draws from observed or supposed facts. It is a proposition that may be true or false to varying degrees, based only on what the passage states or strongly implies, not a directly stated fact.

2. In the Watson Glaser Inference test, on what basis must you judge each proposed inference?

   Solely on the information given in the passage (plus common, universally accepted knowledge), treating the passage as true. You must not use specialist or outside knowledge or your own opinions.

3. List the five response options on the Watson Glaser Inference response scale, in order from most to least supported.

   True (T), Probably True (PT), Insufficient Data (ID), Probably False (PF), and False (F).

4. On the Watson Glaser five-point scale, what does the response 'True' (T) mean?

   The inference is definitely true; it follows beyond reasonable doubt from the facts given in the passage.

5. On the Watson Glaser five-point scale, what does 'Probably True' (PT) mean?

   In light of the facts given, the inference is more likely to be true than false; the passage gives some support but not conclusive proof.

6. On the Watson Glaser five-point scale, what does 'Insufficient Data' (ID) mean?

   You cannot tell from the facts given whether the inference is true or false; the passage neither supports nor contradicts it on balance.

7. On the Watson Glaser five-point scale, what does 'Probably False' (PF) mean?

   In light of the facts given, the inference is more likely to be false than true; the passage gives some evidence against it but does not conclusively disprove it.

8. On the Watson Glaser five-point scale, what does 'False' (F) mean?

   The inference is definitely false; it is directly contradicted by, or misrepresents, the facts given in the passage.

9. What is the single most important rule when answering Watson Glaser Inference items?

   Reason only from the passage. Assume every statement in the passage is true, and do not import any outside knowledge, assumptions, or personal beliefs.

10. Why must you treat the passage as true even if it contradicts what you know about the real world?

    The test measures inference from given premises, not factual recall. Judging against reality instead of the stated facts is a classic error that leads to wrong answers.

11. What is the conceptual difference between a 'True' and a 'Probably True' inference?

    'True' is conclusively established by the passage with no room for doubt; 'Probably True' is only made more likely than not by the passage, leaving genuine possibility it is false.

12. What is the conceptual difference between 'False' and 'Probably False'?

    'False' is directly contradicted or definitively ruled out by the passage; 'Probably False' is merely made more likely to be false than true, without being conclusively disproven.

13. When should you choose 'Insufficient Data' rather than 'Probably True' or 'Probably False'?

    When the passage gives no evidence that tips the balance either way, so you genuinely cannot say the inference is more likely true or more likely false.

14. What kind of evidence justifies a 'True' rather than 'Probably True' rating?

    The inference must be logically entailed by, or explicitly restated from, the passage so that it cannot be false if the passage is true.

15. A passage says 'All members of the committee voted in favour.' Inference: 'Every committee member supported the motion.' What is the correct rating?

    True (T). The inference is logically equivalent to a directly stated fact in the passage.

16. A passage states 'It rained heavily all day on Tuesday.' Inference: 'The outdoor match on Tuesday was cancelled.' What is the correct rating, and why?

    Insufficient Data (ID). Heavy rain makes cancellation plausible but the passage never states a match occurred or was cancelled, so you cannot judge it.

17. A passage states '90% of surveyed students passed the exam.' Inference: 'Most surveyed students passed.' What is the correct rating?

    True (T). 'Most' means more than half, and 90% conclusively satisfies that, so it follows directly from the figure given.

18. A passage states '90% of surveyed students passed.' Inference: 'A student chosen at random from the survey definitely passed.' What is the correct rating?

    Probably False (PF) or False depending on phrasing of 'definitely'. Since 10% failed, it is not certain any given student passed; the claim of certainty is unsupported, making it more likely false than true.

19. Why is 'Probably True' often the correct answer when a passage gives a strong statistical majority?

    A majority makes a single-case or general claim more likely than not but not certain, which matches the definition of 'Probably True' rather than 'True'.

20. What is a 'common probability misjudgement' that test-takers make with figures like '70% favoured X'?

    Treating a high-but-incomplete proportion as a certainty (rating 'True') instead of recognising the remaining minority, which usually makes the correct answer 'Probably True'.

21. A passage says 'Some of the new employees attended the training.' Inference: 'At least one new employee attended the training.' Rating?

    True (T). In logic 'some' means 'at least one', so the inference is directly entailed.

22. A passage says 'Some of the new employees attended the training.' Inference: 'Some new employees did not attend the training.' Rating?

    Insufficient Data (ID). 'Some attended' does not tell you whether the rest attended or not; 'some' is consistent with 'all'.

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