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MathsMediumClass 11

Coefficient of Variation

Statistics

6

JEE Qs

8%

Hard

40

min

Always use Coefficient of Variation for comparing the consistency or variability of two distributions, especially when their means are different or units are incomparable.

🧮 Key Formulas

Mean (x̄) = (Σx_i) / n (for ungrouped data)
Mean (x̄) = (Σf_i x_i) / (Σf_i) (for grouped data)
Variance (σ^2) = (Σx_i^2 / n) - (x̄)^2 (for ungrouped data)
Variance (σ^2) = (Σf_i x_i^2 / Σf_i) - (x̄)^2 (for grouped data)
Standard Deviation (σ) = sqrt(Variance)
Coefficient of Variation (CV) = (σ / x̄) * 100%

✅ Key Points for JEE

  • 1Coefficient of Variation (CV) is a relative measure of dispersion, expressed as a percentage, which allows for comparison of variability across different datasets.
  • 2A dataset with a smaller CV is considered more consistent or less variable than a dataset with a larger CV.
  • 3CV is dimensionless, making it suitable for comparing data sets that have different units or significantly different means.
  • 4If each observation in a data set is multiplied by a positive constant 'k', both the mean and standard deviation are multiplied by 'k', resulting in an unchanged CV.
  • 5If a constant 'a' is added to each observation, the mean changes by 'a' but the standard deviation remains unchanged, thereby altering the CV.

⚠️ Common Mistakes

  • Incorrectly using only standard deviation to compare variability of two datasets, especially when their means are significantly different.
  • Making calculation errors in determining the mean or standard deviation, which directly propagate to an incorrect CV.
  • Forgetting to multiply by 100 to express the Coefficient of Variation as a percentage, leading to misinterpretation of the result.
  • Not understanding how data transformations (adding or multiplying constants to observations) affect the mean, standard deviation, and consequently the CV.

📝 Practice Questions

See all

Q1. Let x1, x2, … , x10 be ten observations such that ∑10i=1 (xi −2) = 30, ∑10i=1 (xi −β)2 = 98, β > 2, and their variance is 4 . If μ and σ2 are respectively the mean and the variance of 2 (x1 −1) + 4β , 5 2 (x2 −1) + 4β, … . , 2 (x10 −1) + 4β , then βμσ2 is equal to : (1) 100 (2) 120 (3) 110 (4) 90

2025·MCQMedium

Q11.The area of the region {(x, y) : x2 + 4x + 2 ≤y ≤|x + 2|} is equal to (1) 7 (2) 5 (3) 24/5 (4) 20/3

2025·MCQMedium

Q5. Marks obtains by all the students of class 12 are presented in a freqency distribution with classes of equal width. Let the median of this grouped data be 14 with median class interval 12-18 and median class frequency 12 . If the number of students whose marks are less than 12 is 18 , then the total number of students is (1) 52 (2) 48 (3) 44 (4) 40

2025·MCQMedium

Q86. X α 1 0 −3 Let the mean and the standard deviation of the probability distribution be μ and σ, P(X) 31 K 16 41 respectively. If σ −μ = 2, then σ + μ is equal to________ JEE Main 2024 (05 Apr Shift 2) JEE Main Previous Year Paper

2024·NumericalMedium

Q69.If the mean of the following probability distribution of a random variable X : X 0 2 4 6 8 46 is , then the variance of the distribution is P(X) a 2a a + b 2b 3b 9 (1) 173 (2) 566 27 81 (3) 151 (4) 581 27 81

2024·MCQMedium

Q69.Consider 10 observation 𝑥1, 𝑥2, . .. 𝑥10, such that ∑𝑖=10 1 𝑥𝑖−𝛼= 2 and ∑𝑖=10 1 𝑥𝑖−𝛽2 = 40, where 𝛼, 𝛽 are 6 84 𝛽 positive integers. Let the mean and the variance of the observations be and respectively. The is equal to: 5 25 𝛼 (1) 2 (2) 3 2 (3) 5 (4) 1 2

2024·MCQMedium

NCERT Chapters

  • Class 11 Mathematics Ch 15: Statistics