Caselets, Sets and Conditional Data Reasoning Short Notes for CAT: Concepts, Formulas, Worked Examples & Practice

    Caselets, Sets and Conditional Data Reasoning short notes for CAT: 3 study cards covering concepts, formulas, shortcuts and exam traps, plus solved practice questions.

    Quick Revision: Key Formulas and Insights

    Quick Revision

    Core Formulas

    Concept Formula
    2-Day Average
    Cumulative Time
    Individual Time

    Key Insights

    1. Bounds dictate possibilities
      • A sum near the maximum possible value leaves very few valid combinations.
    2. Moving averages create chains
      • A 2-day average links Day to Day . One known value fixes the rest.
    3. Sequential means no parallel work
      • You cannot start puzzle until puzzle is complete.
    4. Time gaps reveal categories
      • If categories have fixed time costs, the individual time gap instantly identifies the category.

    Common Pitfalls

    • Confusing 2-day average with overall average.
    • Forgetting score bounds when listing combinations.
    • Reading cumulative time as individual time.
    • Assuming puzzles can be solved out of order.

    The Set Classification Master Checklist

    The Set Classification Master Checklist

    1. Verify & Sum (The Foundation)

    • Are the sets mutually exclusive? (Exactly one category per entity).
    • Write the equation: .

    2. Decode Aggregates (The Bounds)

    • Map the Median to its exact positional index (e.g., 3rd out of 5).
    • Write the inequalities: Left of median ; Right of median .
    • Check for the word "distinct". If missing, allow repetitions.

    3. Build the Matrix (The Interactions)

    • Rows = Source, Columns = Destination.
    • Diagonal = Same-category, Off-diagonal = Cross-category.
    • Fill in knowns and mark variables for unknowns.

    4. Apply Conservation (The Solver)

    • (Outgoing = Incoming).
    • Use part-whole sums to find missing cells.

    5. Optimize (The Final Push)

    • To maximize a variable minimize all other unconstrained variables.
    • Ensure no directional double-counting when summing totals.

    The Enrollment Set Master Checklist

    The Enrollment Set Master Checklist

    1. Identify Set Type (The Foundation)

    • Are sets disjoint (mutually exclusive) or overlapping?
    • If overlapping, use Inclusion-Exclusion.

    2. Translate Conditions (The Constraints)

    • "Must take both" Group is in Intersection.
    • "Take only one" Group is in Exclusive Regions.
    • "Cannot take both" Intersection is zero for that group.

    3. Algebraic Venn Method (The Solver)

    • Define variables for each distinct region (Only A, Only B, Both, etc.).
    • Write equations for Row/Column totals.
    • Include a variable for "Neither" if not explicitly excluded.

    4. Precision Checks (The Traps)

    • Distinguish "At Least One" (Union) from "Exactly One".
    • Convert percentages to absolute numbers before comparing years.
    • Ensure .

    Caselets, Sets and Conditional Data Reasoning: Solved Questions with Step-by-Step Explanations (2 Problems)

    Question 1 · Data Interpretation and Logical Reasoning MCQ

    A business incubator has 250 startups, classified into two sectors: 'DeepTech' (150 startups) and 'E-Commerce' (100 startups). Each startup is registered for at least one of three government grant schemes: Alpha, Beta, and Gamma.

    For the E-Commerce sector:

    • The total number of registrations across the three schemes is 220 (with Alpha: 90, Beta: 80, Gamma: 50).
    • The number of startups registered for exactly two schemes is equal to the number registered for all three schemes.

    For the DeepTech sector:

    • The total number of registrations across the three schemes is 230 (with Alpha: 100, Beta: 80, Gamma: 50).

    Global Condition:

    • The total number of startups registered for ALL THREE schemes across both sectors combined is exactly 65.

    What is the maximum possible number of DeepTech startups registered for ONLY scheme Alpha?

    1. A.

      65

    2. B.

      70

    3. C.

      75

    4. D.

      80

    Correct Answer:

    B

    Step-by-Step Solution

    Key idea: This is a multi-set optimization problem linked by a global constraint. We must use the Conservation of Sums identity () to find the exact parameters of each sector before applying bounding techniques to maximize a specific region.

    Step 1: Analyze the E-Commerce sector.

    Total startups . Sum of registrations .

    Using the identity: .

    We are given . Substituting this gives .

    Step 2: Use the global condition to find DeepTech parameters.

    Total ALL THREE across both sectors = .

    Since , we have .

    For DeepTech, and .

    .

    Substituting : .

    The number of DeepTech startups in exactly one scheme is .

    Step 3: Maximize DeepTech ONLY Alpha ().

    Let be the exactly-two regions for DeepTech (Alpha-Beta, Beta-Gamma, Gamma-Alpha).

    We know .

    The total for Alpha is .

    To maximize , we must minimize . Since , we must maximize .

    The total for Gamma is .

    Since and , the maximum possible value for is 25.

    If , then and .

    This gives .

    Substituting back into the Alpha equation: .

    (Checking Beta: . Total exactly one: , which matches . All constraints are satisfied).

    Answer: 70

    Question 2 · Data Interpretation and Logical Reasoning NAT

    A tech company has three specialized departments: Cloud (C), Security (S), and AI (A). Every employee is assigned to at least one department. The following data is known about the workforce:

    • The total number of employees in Cloud is .
    • The total number of employees in Security is .
    • The total number of employees in AI is .
    • The number of employees working in exactly two departments is .
    • The number of employees working in all three departments is .

    If it is known that and , what is the sum of all possible integer values for the total number of employees in the company?

    Correct Answer:

    4830

    Step-by-Step Solution

    Key idea: This is a reverse_engineering problem combining Venn algebra with inequality constraints and arithmetic progression sums.

    Step 1: Establish the Sum of Sets and Union relationship.

    Sum of sets = .

    Let be the total number of employees. Since everyone is in at least one department, Union = .

    Formula: .

    Also, Union = .

    Substitute : .

    So, .

    Step 2: Substitute the given constraints.

    We are given and .

    .

    We are also given .

    Substitute : .

    Step 3: Determine the valid range for .

    Constraint 1: .

    Constraint 2: (Region counts cannot be negative).

    Constraint 3: .

    Combining these, the valid integer range for is .

    Step 4: Calculate the sum of all possible values for .

    Since , as ranges from to , ranges from down to .

    This is an arithmetic progression with terms: .

    Sum =

    Sum = .

    Answer: 4830

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    Caselets, Sets and Conditional Data Reasoning Short Notes for CAT: Concepts, Formulas, Worked Examples & Practice

    Caselets, Sets and Conditional Data Reasoning short notes for CAT: 3 study cards covering concepts, formulas, shortcuts and exam traps, plus solved practice q

    A question from this chapter

    Question 1

    A business incubator has 250 startups, classified into two sectors: 'DeepTech' (150 startups) and 'E-Commerce' (100 startups). Each startup is registered for at least one of three government grant schemes: Alpha, Beta, and Gamma.

    For the E-Commerce sector:

    • The total number of registrations across the three schemes is 220 (with Alpha: 90, Beta: 80, Gamma: 50).
    • The number of startups registered for exactly two schemes is equal to the number registered for all three schemes.

    For the DeepTech sector:

    • The total number of registrations across the three schemes is 230 (with Alpha: 100, Beta: 80, Gamma: 50).

    Global Condition:

    • The total number of startups registered for ALL THREE schemes across both sectors combined is exactly 65.

    What is the maximum possible number of DeepTech startups registered for ONLY scheme Alpha?

    Question 2

    A tech company has three specialized departments: Cloud (C), Security (S), and AI (A). Every employee is assigned to at least one department. The following data is known about the workforce:

    • The total number of employees in Cloud is .
    • The total number of employees in Security is .
    • The total number of employees in AI is .
    • The number of employees working in exactly two departments is .
    • The number of employees working in all three departments is .

    If it is known that and , what is the sum of all possible integer values for the total number of employees in the company?

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