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    Continuous Random Variables, CDF and PDF PYQs for GATE DA

    Solve 3+ Continuous Random Variables, CDF and PDF previous year questions for GATE DA with answers and detailed solutions. Free sample questions below.

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    Question 1
    2026 PYQ
    Let be a discrete valued random variable with cumulative distribution function .

    Which of the following statements is/are correct?
    Question 2
    2025 PYQ
    Let be a continuous random variable whose cumulative distribution function (CDF) , for some , is given as follows:


    If the median of is , then what is the value of ?
    Question 3
    2025 PYQ
    Consider the cumulative distribution function (CDF) of a random variable :


    The value of is
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    Continuous Random Variables, CDF and PDF PYQs for GATE DA

    Solve 3+ Continuous Random Variables, CDF and PDF previous year questions for GATE DA with answers and detailed solutions. Free sample questions below.

    Chapter Roadmap: CDF Evaluation, Properties and Quantiles

    Chapter Roadmap

    Chapter: Continuous Random Variables, CDF and PDF. Topic: CDF Evaluation, Distribution Properties and Quantiles.

    1
    Meaning of the CDF
    Accumulated probability .
    2
    Validity properties
    Limits, monotonicity, right-continuity, jumps.
    3
    Probabilities from the CDF
    Intervals, tails, and endpoint rules.
    4
    Transformed events
    Rewrite events like into intervals for .
    5
    Quantiles and median
    Invert the CDF to find cutoff values.
    6
    Common traps
    Discrete jumps, strict inequalities, piecewise boundaries.
    Weightage hint: high. This is the first topic of the chapter and a core dependency for later continuous probability ideas.

    Topic Hero: The CDF Is an Accumulator of Probability

    The CDF Is an Accumulator

    Sweep right: collect probability mass
    F(x)
    1
    0
    What fraction of the probability mass lies at or below ?

    For a continuous random variable, the probability of one exact point is zero:

    • Far to the left, no probability has been accumulated: .
    • As moves right, more probability is collected.
    • Far to the right, all probability has been collected: .
    • The CDF never falls. It either rises or stays flat.

    Continuous Random Variables, CDF and PDF: Solved Questions with Step-by-Step Explanations (3 Problems)

    Question 1 · Probability and Statistics · 2026 MSQ
    Let be a discrete valued random variable with cumulative distribution function .

    Which of the following statements is/are correct?
    1. A.

      is always a positive function.

    2. B.

      is a non-decreasing function.

    3. C.

      has jump discontinuity.

    4. D.

      is a left continuous function.

    Question 2 · Probability and Statistics · 2025 MCQ
    Let be a continuous random variable whose cumulative distribution function (CDF) , for some , is given as follows:


    If the median of is , then what is the value of ?
    1. A.

    2. B.

    3. C.

    4. D.

    Question 3 · Probability and Statistics · 2025 MCQ
    Consider the cumulative distribution function (CDF) of a random variable :


    The value of is
    1. A.

    2. B.

    3. C.

    4. D.

    More previous year questions (pyqs) in this unit