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CAT (Common Admission Test) Logical Reasoning (DILR) Syllabus
The Logical Reasoning (DILR) syllabus for CAT (Common Admission Test) in full: 4 chapters, 13 topics and 20 sub-topics, every one listed below, plus 50 Logical Reasoning (DILR) flashcards with answers.
Logical Reasoning (DILR) syllabus: all 4 chapters
Expand any chapter to see its topics and sub-topics.
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Arrangements
3 topics- Linear Arrangements
- Single and double row seating
- Conditional placement constraints
- Circular and Polygonal Arrangements
- Facing centre and away from centre
- Mixed-facing arrangements
- Grid and Matrix Arrangements
- Floor and flat puzzles
- Two-dimensional grid placement
- Linear Arrangements
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Distribution and Grouping
3 topics- Selection and Team Formation
- Conditional selection puzzles
- Matching and Mapping
- Multi-variable matching grids
- Distribution Puzzles
- Allocating items under constraints
- Selection and Team Formation
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Games, Tournaments and Quantitative Reasoning
3 topics- Games and Tournaments
- Round-robin and knockout formats
- Points table and ranking logic
- Quant-Based LR Sets
- Numerical puzzles with constraints
- Scheduling and routing problems
- Venn Diagram Reasoning
- Set-based logical deductions
- Games and Tournaments
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Logical Deduction
4 topics- Syllogisms
- Standard and possibility syllogisms
- Binary Logic and Truth-Teller Puzzles
- Truth-teller and liar identification
- Data Sufficiency
- Single and two-statement sufficiency
- Sufficiency in quantitative contexts
- Input-Output and Coding
- Coding-decoding logic
- Sequential input-output reasoning
- Syllogisms
CAT (Common Admission Test) Logical Reasoning (DILR) flashcards — 50 questions with answers
In a linear arrangement seating puzzle, what does the clue "A sits to the immediate left of B" tell you about A and B's positions?
A and B are adjacent, with A directly next to B on B's left side (A's position number is one less than B's when counting left-to-right). They form a fixed block AB.
What is the recommended first step when solving any linear arrangement (seating in a row) problem?
Fix the most concrete/definite clues first (e.g., "X is at one end" or "Y is exactly in the middle"), then build outward using relative-position clues, keeping track of which direction the people face.
In linear arrangements, how does the meaning of "left" and "right" change when people face north versus south?
For people facing north (toward you), their left is your right and vice versa. When facing south, their left/right matches your left/right. Always convert all clues to a single reference frame before placing.
For a circular arrangement of n people facing the centre, in how many distinct ways can a person's "left neighbour" and "right neighbour" be interpreted compared to facing outward?
When facing the centre, a person's left and right are reversed relative to facing outward. Facing centre: left = clockwise side reverses; you must flip left/right whenever the facing direction changes.
In a circular arrangement, why is "between" often ambiguous and how do you handle it?
"Between A and B" can mean either arc (clockwise or anticlockwise), so a person 'between' may sit on either side. Treat such clues as giving two cases and test both unless other clues fix the direction.
How many people sit in a polygonal (e.g., square or hexagonal) arrangement when some sit at corners and some at the middle of sides, and how do their facing directions typically differ?
Corner people and mid-side people alternate; commonly corner people face outward (away from centre) and mid-side people face the centre (inward), or vice versa. The total = number of corners + number of sides.
In a grid/matrix arrangement (e.g., a building with floors and flats), what two attributes must you simultaneously track for each entity?
You track both coordinates: the row attribute (e.g., floor number) and the column attribute (e.g., flat/position), assigning each entity a unique (row, column) cell so no two share the same cell.
What grid-based diagram is best for problems linking two parallel sets of constraints (e.g., people, their floors, and their cars)?
A grid/table (matrix) with one row per entity and one column per attribute. Fill cells with definite YES/NO marks; a confirmed YES in a row/column eliminates all other cells in that row and column for unique-assignment attributes.
In selection/team-formation problems, what does a conditional clue like "If P is selected then Q is not" logically forbid?
It forbids the combination P-and-Q together. P and Q can never both be in the team; valid teams contain at most one of them (or neither). Its contrapositive: if Q is selected, P is not.
In a selection puzzle, how do you interpret "At least one of A or B must be selected"?
At least one means A, or B, or both must be present — only the empty case (neither A nor B) is forbidden. So every valid team contains A, B, or both.
What is the difference between "exactly two," "at least two," and "at most two" constraints in selection problems?
Exactly two = the count equals 2. At least two = count is 2 or more. At most two = count is 2 or fewer (0, 1, or 2). Translating these counts precisely is essential to avoid over/under-selecting.
In a matching/mapping problem (e.g., people to professions to cities), what structure works best and what is the uniqueness rule?
Use a matrix or relation grid. Each entity maps to exactly one item per attribute (one-to-one), so once a match is fixed, eliminate that item from all other entities in that attribute column.
In mapping puzzles, what does a negative clue ("A is not the doctor") let you do directly on the grid?
It lets you place a NO (cross) in the A-doctor cell. Negative clues narrow possibilities; when only one option remains in a row or column, it becomes a confirmed YES.
In a distribution puzzle where items are distributed among people with totals fixed, what arithmetic check should you always apply?
The sum of items given to all people must equal the total number of items. Use this conservation/total constraint to deduce unknown shares once others are fixed.
In distribution puzzles, how do you use a clue like "each person gets a different number of items" combined with a known total?
Since all shares are distinct positive integers summing to the total, list distinct integer partitions of the total into that many parts; the clues then pick the valid partition and assign parts to people.
In a games/tournaments problem, in a single round-robin with n teams each playing every other team once, how many total matches are played?
nC2 = n(n-1)/2 matches. In a double round-robin it doubles to n(n-1).
In a single-round-robin of n teams, how many matches does each team play, and what is the maximum points a team can earn if a win = 2 points?
Each team plays (n-1) matches. Maximum points = 2(n-1), achieved by winning all matches.
In a knockout (single-elimination) tournament with n players, how many matches are needed to determine a winner?
n - 1 matches, because every match eliminates exactly one player and all but the champion must be eliminated.
In a tournament points table, how do you typically break a tie when two teams have equal points (common CAT convention)?
By a secondary criterion stated in the problem — usually net run rate / goal difference, then head-to-head result. Always use the tie-breaker rule given in the question, not a default assumption.
What characterizes a "Quant-based LR" set, and what is the key skill it tests?
It blends logical deduction with arithmetic/number properties (e.g., ages, scores, ratios, averages within a logic grid). The skill is setting up equations or inequalities from the logical clues, then solving them.
Show the other 30 Logical Reasoning (DILR) flashcards
In a quant-based LR set involving averages, how does adding/removing a value change the average?
New average = (sum ± changed value) / (new count). To keep average constant, an added value must equal the current average; values above the average pull it up, below pull it down.
What does a two-set Venn diagram region "A only" represent, and how is it computed?
"A only" = elements in A but not in B = n(A) − n(A∩B). It is the part of circle A that does not overlap circle B.
State the two-set inclusion-exclusion formula for the union of sets A and B.
n(A∪B) = n(A) + n(B) − n(A∩B).
State the three-set inclusion-exclusion formula for n(A∪B∪C).
n(A∪B∪C) = n(A)+n(B)+n(C) − n(A∩B) − n(B∩C) − n(C∩A) + n(A∩B∩C).
In a three-set Venn problem, how do you express "exactly two of the three sets"?
Exactly-two = [n(A∩B)+n(B∩C)+n(C∩A)] − 3·n(A∩B∩C). Each pairwise intersection includes the all-three region, so subtract it three times to leave only the exactly-two regions.
In Venn problems, how do you find "exactly one set" given the pairwise and triple intersections?
Exactly-one = n(A∪B∪C) − (exactly-two) − (all-three). Equivalently compute each single region as n(A) minus its overlaps, then sum the three single-only regions.
In syllogisms, what conclusion validly follows from "All A are B" and "All B are C"?
"All A are C" follows validly. (Universal affirmative chains through the shared middle term B.)
In syllogisms, does any definite conclusion follow from "Some A are B" and "Some B are C"? Why or why not?
No definite conclusion follows. Two particular ("some") premises cannot guarantee a relationship between A and C — the overlapping B members of each may be different, so neither "some A are C" nor any negative is certain.
In syllogisms, what is the rule about the number of negative premises required to draw a negative conclusion?
At least one premise must be negative to validly draw a negative conclusion, and two negative premises yield no valid conclusion. Also, if a premise is negative the conclusion must be negative.
What does the syllogism complementary-pair rule ("either-or" possibility) state?
When neither "Some A are B" nor "No A are B" individually follows, but together they exhaust all cases, the pair "Either some A are B or no A are B" follows as a valid either/or conclusion.
In syllogisms, what valid immediate conversion can you make from "Some A are B"?
"Some B are A" (conversion of a particular affirmative is valid). Also "No A are B" converts to "No B are A." But "All A are B" converts only to "Some B are A," not "All B are A."
In binary-logic / truth-teller puzzles, what are the two categories of people and how do they respond?
Truth-tellers always make true statements; liars always make false statements. (Some variants add 'alternators' who alternate true/false.) Solve by assuming a person's type and checking for contradictions.
What is the standard technique to solve a truth-teller and liar puzzle?
Assume one person is a truth-teller (or liar), trace the implications of all statements, and check consistency. If a contradiction arises, the assumption is wrong; the consistent assignment is the solution.
In binary-logic puzzles, if a person says "I am a liar," what does this reveal about classic two-type (truth-teller/liar) worlds?
It's a paradox impossible for either pure type — a truth-teller wouldn't call themselves a liar, and a liar wouldn't truthfully admit it. So in strict two-type worlds no one can truthfully or falsely say exactly that, signaling an alternator or a trick statement.
In Data Sufficiency questions, what is the standard answer scheme for the five options?
(A) Statement 1 alone sufficient, 2 not; (B) Statement 2 alone sufficient, 1 not; (C) both together sufficient, neither alone; (D) each alone sufficient; (E) both together still insufficient.
In Data Sufficiency, what is the cardinal rule about how you must evaluate the two statements?
Evaluate each statement independently first (never carry information from one to the other), and only combine them if neither alone is sufficient. Determine sufficiency, not the actual answer value.
In Data Sufficiency, what counts as a statement being "sufficient" for a value question?
It is sufficient if it pins the answer to one unique value. If it allows two or more possible values, it is insufficient — even one counterexample makes a statement insufficient.
In Data Sufficiency for a yes/no question, when is a statement sufficient?
When it gives a definite, consistent answer — always "yes" or always "no." A statement that yields "sometimes yes, sometimes no" is insufficient; note that a consistent "no" is still sufficient.
In coding-decoding (letter-shift) problems, how do you decode a word encoded by shifting each letter forward by a fixed number k?
Shift each letter backward by k positions in the alphabet (wrapping around Z→A). First deduce k by comparing one known plaintext/ciphertext pair, then apply the reverse shift to all letters.
In coding-decoding, what is "reverse/opposite letter" coding (mirror coding) and the quick mapping for it?
Each letter maps to its opposite from the other end (A↔Z, B↔Y, C↔X, ...). Quick rule: position-from-start + position-from-end = 27, so the code of the letter at position p is the letter at position (27 − p).
In symbol/substitution coding, what is the systematic approach to crack the code?
Compare pairs of coded words sharing common words/letters; the symbol appearing in both messages corresponds to the common element. Eliminate matched symbols, then deduce remaining ones by position.
In an Input-Output (machine) reasoning problem, what defines the "output" of each step?
The machine applies a fixed rule (e.g., arrange certain words alphabetically or numbers in increasing/decreasing order, one element shifted per step) to the previous step's result; each line is one step's output until no further rearrangement is possible (final step).
In Input-Output problems, how do you find the rule when given the input and a few step outputs?
Compare consecutive steps to see which one element moved and where (front/back) and in what order (ascending/descending, alphabetical, by value). Identify the pattern of which element is selected each step and its destination.
In Input-Output problems, why can you often NOT reconstruct the input from a later step?
Because the rearrangement loses original ordering information — multiple inputs can lead to the same intermediate step. The process is forward-deterministic but not reversible, so input cannot be uniquely recovered from output.
What is the key difference between a "comparison-based" arrangement clue (taller/older) and a fixed-position clue?
A comparison clue (e.g., "A is taller than B") gives only relative order, not exact positions, and may leave gaps; a fixed-position clue (e.g., "A is 3rd") locks an absolute slot. Build a relative chain first, then anchor it with fixed clues.
In ranking problems, how do you interpret "A is third from the top and fifth from the bottom"? What is the total number of people?
Total = (position from top) + (position from bottom) − 1 = 3 + 5 − 1 = 7. The subtraction avoids double-counting A.
In a double-line (two parallel rows facing each other) arrangement, what spatial relationship links a person in row 1 to a person in row 2?
Each person in row 1 faces exactly one person in row 2 (and vice versa). Note the rows face opposite directions, so left/right are mirrored between the two rows; a person's 'opposite' is the one directly across.
In blood-relation logic, how do you decode a chain like "A is the mother of B, who is the father of C"? What is A to C?
B is male (father of C) and B is A's child (A is B's mother), so A is C's grandmother (paternal grandmother). Resolve chains step-by-step, tracking gender and generation.
In a Quant-based LR set using ratios, how do you convert a ratio like 3:4:5 into actual counts given a total of 60?
Sum the ratio parts (3+4+5 = 12), find one part = 60/12 = 5, then multiply: 15, 20, 25. The total must be divisible by the sum of parts for integer counts.
What general 3-step problem-solving order should you apply to almost any LR/DILR set?
1) Read all conditions and identify the structure (linear, circular, grid, selection, etc.) and the variables; 2) Plug in definite clues to build a base diagram/table; 3) Use conditional and negative clues to eliminate cases until a unique consistent arrangement remains.
CAT (Common Admission Test) Logical Reasoning (DILR) FAQ
What is in the CAT (Common Admission Test) Logical Reasoning (DILR) syllabus?
CAT (Common Admission Test) Logical Reasoning (DILR) is split into 4 chapters: Arrangements, Distribution and Grouping, Games, Tournaments and Quantitative Reasoning and Logical Deduction. Together they contain 13 topics and 20 sub-topics.
How many chapters are in CAT (Common Admission Test) Logical Reasoning (DILR)?
4 chapters, containing 13 topics and 20 sub-topics. The largest chapter is Logical Deduction, with 4 topics.
Are there flashcards for CAT (Common Admission Test) Logical Reasoning (DILR)?
Yes — a 50-card Logical Reasoning (DILR) deck, printed in full in the flashcards section of this page and available in the Examius app with spaced repetition. The free plan covers one exam of your choice, including its flashcards; Examius Pro, a one-time purchase, unlocks every other exam and deck.