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MathsMediumClass 11

Mean Deviation — About mean, median

Statistics

6

JEE Qs

8%

Hard

75

min

Always perform calculations for mean or median accurately for the given data type (ungrouped, discrete, or continuous) first, and consistently apply the absolute value for deviations.

🧮 Key Formulas

Mean Deviation about Mean (ungrouped data): MD(x̄) = (Σ|xᵢ - x̄|) / n
Mean Deviation about Median (ungrouped data): MD(M) = (Σ|xᵢ - M|) / n
Mean Deviation about Mean (discrete frequency distribution): MD(x̄) = (Σfᵢ|xᵢ - x̄|) / (Σfᵢ)
Mean Deviation about Median (discrete frequency distribution): MD(M) = (Σfᵢ|xᵢ - M|) / (Σfᵢ)
Mean Deviation about Mean (continuous frequency distribution): MD(x̄) = (Σfᵢ|xᵢ_mid - x̄|) / (Σfᵢ), where xᵢ_mid are midpoints of classes
Mean Deviation about Median (continuous frequency distribution): MD(M) = (Σfᵢ|xᵢ_mid - M|) / (Σfᵢ), where xᵢ_mid are midpoints of classes
Coefficient of Mean Deviation about Mean: CMD(x̄) = MD(x̄) / x̄
Coefficient of Mean Deviation about Median: CMD(M) = MD(M) / M
Median for continuous frequency distribution: M = L + [((N/2) - C) / f] * h (where L is lower limit of median class, N=Σfᵢ, C is cumulative frequency of class preceding median class, f is frequency of median class, h is class size)

✅ Key Points for JEE

  • 1Mean deviation is always calculated using the absolute value of deviations, which ensures that distances from the central value are treated as positive.
  • 2The mean deviation about the median is always less than or equal to the mean deviation about any other point, making it the minimum mean deviation for a given dataset.
  • 3For grouped data (discrete or continuous frequency distributions), the frequency (fᵢ) of each observation or class interval must be multiplied with the absolute deviation before summation.
  • 4When dealing with continuous frequency distributions, use the midpoints of the class intervals (xᵢ_mid) to represent the observations for calculating deviations.
  • 5The coefficient of mean deviation is a relative measure of dispersion, allowing for comparison of variability between datasets that might have different units or widely differing means/medians.

⚠️ Common Mistakes

  • Forgetting to take the absolute value of deviations (|xᵢ - A|), which is a fundamental error leading to incorrect or zero mean deviation.
  • Errors in the initial calculation of the mean or median, especially for grouped data, as these values are foundational for all subsequent calculations.
  • Incorrectly calculating the median for continuous frequency distributions, by misidentifying the median class or using wrong values for L, C, f, or h.
  • Applying formulas for ungrouped data to grouped data, or vice versa, without proper modification to include frequencies (fᵢ).

📝 Practice Questions

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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