Match List I with List II:

List I - Statistical Distribution List II - Characteristical Expression
(A) Negatively Skewed Distribution (I) Mean = Mode, P(x ≤ μ) = 0.50
(B) Positively Skewed Distribution (II) x̅ > Median > Mode: P > 0.5
(C) Binomial Distribution (III) x̅ < Median < Mode
(D) Normal Distribution (IV) x̅ > Median > Mode

Choose the correct answer from the options given below:

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UGC NET Paper 2: Commerce 29 Sep 2022 Shift 2
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  1. ​(A) - (III), (B) - (I), (C) - (II), (D) - (IV)
  2. (A) - (I), (B) - (II), (C) - (III), (D) - (IV)
  3. (A) - (II), (B) - (III), (C) - (IV), (D) - (I)
  4. (A) - (III), (B) - (IV), (C) - (II), (D) - (I)

Answer (Detailed Solution Below)

Option 4 : (A) - (III), (B) - (IV), (C) - (II), (D) - (I)
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UGC NET Paper 1: Held on 21st August 2024 Shift 1
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The correct answer is (A) - (III), (B) - (IV), (C) - (II), (D) - (I)

Key PointsNegatively skewed distribution (also known as left-skewed) is a type of distribution in which more values are concentrated on the right side (tail) of the distribution graph while the left tail of the distribution graph is longer.

Positively skewed distribution (also known as right-skewed) is a type of distribution in which most values are clustered around the left tail of the distribution while the right tail of the distribution is longer.

Normal distribution describes continuous data which have a symmetric distribution, with a characteristic 'bell' shape. 

Binomial distribution describes the distribution of binary data from a finite sample. Thus it gives the probability of getting r events out of n trials.

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