Descriptive Statistics and Data Normalization Notes for GATE DA: Concepts, Formulas, Worked Examples & Practice

    Descriptive Statistics and Data Normalization notes for GATE DA: 15 study cards covering concepts, formulas, shortcuts and exam traps, plus solved practice questions.

    Chapter Roadmap: Descriptive Statistics and Data Normalization

    Chapter Roadmap

    Descriptive Statistics and Data Normalization

    1

    Mean, Median and Mode Constraints

    Reconstructing data sets from statistical properties. Solving for unknown integers using mean, median, and mode definitions.

    2

    Standardization and Z-Score Normalization

    Transforming data to have zero mean and unit variance. Comparing data from different scales using Z-scores.

    What You Will Master

    • Constraint Satisfaction: Finding specific numbers from average, middle, and most frequent values.
    • Statistical Rigour: Understanding precise definitions governing these measures.
    • Data Scaling: Converting raw values into standardized scores.

    The Interplay of Central Tendencies

    The Interplay of Central Tendencies

    In many exam problems, you are not given the data set. You are given its properties. Treat these properties as constraints in a logic puzzle.

    Mean

    Fixes the sum of the elements.

    Median

    Fixes the middle element in sorted order.

    Mode

    Fixes the frequency of the most common element.

    The Strategy

    1. Use the Mean to calculate the total sum required.
    2. Use the Median to place a specific value in the center of your sorted list.
    3. Use the Mode to populate the remaining slots with the most frequent value.
    4. Solve for the unknowns using simple arithmetic.

    Solving Integer Constraint Problems

    Method: Solving Integer Constraint Problems

    1. Define Variables Let the integers be .
    2. Apply Median Set the middle element(s). For , .
    3. Apply Mode Place the mode values. If the mode is and it's unique, ensure it appears more times than any other number. For a large mode, typically .
    4. Apply Mean Calculate Total Sum .
    5. Solve for Unknowns

    Check Constraints

    • Integers must be within the given range (e.g., 0 to 20).
    • Order must be maintained ().
    • Mode must remain unique (check frequencies of ).

    Reconstructing the Five Integers

    Example: Reconstructing the Five Integers

    Problem

    Five integers are picked from 0 to 20 (repetitions allowed). Find the number of ways to pick these integers (ignoring permutations).

    • Mean = 12
    • Median = 18
    • Single Mode = 20
    1.
    Setup: Sorted integers .
    2.
    Median Constraint: .
    3.
    Mode Constraint: Mode is 20. Since , and must be 20. Frequency of 20 is 2. For a single mode, no other number can appear 2+ times. Thus, .
    4.
    Mean Constraint: Sum = .
    5.
    Finding Valid Pairs : Constraints: , .
    (0, 2) Valid
    (1, 1) Invalid (Bimodal)
    Answer: There is exactly 1 way.

    Descriptive Statistics and Data Normalization: Solved Questions with Step-by-Step Explanations (2 Problems)

    Question 1 · Quantitative Aptitude MCQ

    For a sorted data set of 7 numbers represented as , which position corresponds to the median?

    1. A.

      3rd

    2. B.

      4th

    3. C.

      5th

    4. D.

      Average of 3rd and 5th

    Correct Answer:

    B

    Step-by-Step Solution

    Key idea: This is a definition recall question, recognisable because it asks for the position of the median in a sorted list of a specific size.

    Step 1: Recall the definition of the median. The median is the middle value of a sorted data set.

    Step 2: Determine the middle position for an odd number of elements . The formula for the middle position is .

    Step 3: Substitute into the formula: .

    Step 4: The 4th position corresponds to the variable .

    Answer: B

    Question 2 · Quantitative Aptitude MCQ

    For a sorted data set of 9 variables , which variable represents the median?

    1. A.

      x_3

    2. B.

      x_4

    3. C.

      x_5

    4. D.

      x_6

    Correct Answer:

    C

    Step-by-Step Solution

    Key idea: This is a definition recall question, recognisable because it asks for the position of the median in a sorted list of a specific size.

    Step 1: Recall the definition of the median. The median is the middle value of a sorted data set.

    Step 2: Determine the middle position for an odd number of elements . The formula for the middle position is .

    Step 3: Substitute into the formula: .

    Step 4: The 5th position corresponds to the variable .

    Answer: C

    More notes in this unit

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    Descriptive Statistics and Data Normalization Notes for GATE DA: Concepts, Formulas, Worked Examples & Practice

    Descriptive Statistics and Data Normalization notes for GATE DA: 15 study cards covering concepts, formulas, shortcuts and exam traps, plus solved practice qu

    A question from this chapter

    Question 1

    For a sorted data set of 7 numbers represented as , which position corresponds to the median?

    Question 2

    For a sorted data set of 9 variables , which variable represents the median?

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