UGC NET Skewness and kurtosis Previous Year Questions
JRFSmart holds 15 previous-year questions on Skewness and kurtosis from UGC NET Commerce (Paper 2), filed under Unit 5: Business Statistics and Research Methods, drawn from 11 of the 22 exam papers in the bank (2018–2025). Each question can be practised with a full explanation and shows how often NTA has returned to the same idea.
What is asked in Skewness and kurtosis
The questions in this topic fall under these subtopics, ordered by how many previous-year questions each has.
| Subtopic | Questions |
|---|---|
| Measures of skewness | 2 |
| Skewness | 2 |
| Relative measures of skewness | 1 |
| Direction of skewness | 1 |
| Shapes of distributions | 1 |
| Beta coefficients | 1 |
| Effect of change of origin on skewness | 1 |
| Effect of change of scale on skewness | 1 |
| Kurtosis and dispersion | 1 |
| Positively skewed distribution | 1 |
| Karl Pearson's coefficient of skewness | 1 |
NTA repeat analysis
Skewness and kurtosis appears in 11 of 22 papers (50%), which JRFSmart rates as high frequency.
1 question in this topic has been verified as repeated in more than one paper.
Sample previous-year questions
Match List-I with List-II: List I List II A. j = (X̄ − M 0 ) / σ I. Kelly's coefficient of skewness B. j = (Q 3 − Q 1 − 2M e ) / (Q 3 − Q 1 ) II. Bowley's measure of skewness C. j = (P 90 + P 10 − 2P 50 ) / (P 90 − P 10 ) III. Karl Pearson's coefficient of…
Match the LIST-I (Types of Skewness Measures) with LIST-II (Corresponding Formulas): LIST-I LIST-II (Formula) A. Karl Pearson's coefficient of skewness I. (μ 3 )²/(μ 2 )³ B. Bowley's coefficient of skewness II. (P 90 + P 10 − 2 × Median) / (P 90 −P 10 ) C…
Which of the following are true for Skewness? A. It is a measure of symmetry of a frequency distribution. B. For the right-skewed distribution, the mean is to the right of the median. C. For the right-skewed distribution, the mean is to the right of the…
Karl Pearson's Coefficient of Skewness for a distribution having mean of 6.82, median of 6.8 and standard Deviation of 1.4 is :
The distribution of data which has a long left tail is known as:
Match the List I with List II: List I (Curve Shapes) List II (Type of Distribution) A. Curve rising gradually from the left, peaking near the right, then dropping sharply — i.e. the long tail stretches to the left I. Platykurtic Distribution B. A very tall…
Which one of the following statements is true?
Which one of the following summary measures denotes the degree of lopsidedness in a distribution?
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