CBSE Class 10 Maths: Chapter 13 Statistics - Part 1: MCQ

CBSE Class 10 Maths: Chapter 13 Statistics - Part 1: MCQ previous year questions and their answers by expert
Top 25 MCQs with Answers | Latest CBSE Pattern

Welcome to Part 1 of our new 8-part series on Chapter 13, Statistics. This post contains the top 25 Multiple Choice Questions (MCQs) focusing on Mean, Median, Mode, and the Empirical Relationship between them.

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Top 25 MCQs - Statistics

Question 1: Empirical Relationship

CBSE PYQ 2023

The empirical relationship between the three measures of central tendency is:

  • (a) 2 Mean = 3 Median - Mode
  • (b) Mode = 3 Median - 2 Mean
  • (c) 3 Median = 2 Mode + Mean
  • (d) 3 Mean = 2 Median + Mode
(b) Mode = 3 Median - 2 Mean
Explanation: This is the standard empirical formula relating Mean, Median, and Mode.

Question 2: Modal Class

CBSE 2020

In a frequency distribution, the mid value of a class is 10 and the width of the class is 6. The lower limit of the class is:

  • (a) 6
  • (b) 7
  • (c) 8
  • (d) 12
(b) 7
Explanation: Class mark (mid value) = 10, Width (h) = 6.
Lower limit = Mid value - (h/2)
Lower limit = 10 - (6/2) = 10 - 3 = 7.

Question 3: Class Mark

CBSE PYQ 2024

The class mark of the class interval 10-25 is:

  • (a) 17
  • (b) 17.5
  • (c) 18
  • (d) 15
(b) 17.5
Explanation: Class mark = (Lower limit + Upper limit) / 2
= (10 + 25) / 2 = 35 / 2 = 17.5.

Question 4: Median Class

CBSE Sample Paper 2023

Consider the following distribution:
Class: 0-5, 5-10, 10-15, 15-20, 20-25
Frequency: 10, 15, 12, 20, 9
The sum of lower limits of the median class and modal class is:

  • (a) 15
  • (b) 25
  • (c) 30
  • (d) 35
(b) 25
Explanation:
Modal Class: Max frequency is 20, so modal class is 15-20. Lower limit = 15.
Median Class: Total freq (N) = 10+15+12+20+9 = 66. N/2 = 33.
Cumulative Frequency: 10, 25, 37 (10-15 class covers up to 37). So median class is 10-15. Lower limit = 10.
Sum = 15 + 10 = 25.

Question 5: Ogive

CBSE 2022

The abscissa of the point of intersection of the 'less than type' and 'more than type' cumulative frequency curves of a grouped data gives its:

  • (a) Mean
  • (b) Median
  • (c) Mode
  • (d) Range
(b) Median
Explanation: The intersection point of the two ogives corresponds to the median on the x-axis (abscissa).

Question 6: Mean of First n Natural Numbers

The mean of first n natural numbers is:

  • (a) n(n+1)/2
  • (b) (n+1)/2
  • (c) n/2
  • (d) (n-1)/2
(b) (n+1)/2
Explanation: Sum = n(n+1)/2. Mean = Sum/n = [n(n+1)/2]/n = (n+1)/2.

Question 7: Mean Calculation

CBSE PYQ 2021

If the mean of the following distribution is 2.6, then the value of y is:
Variable (x): 1, 2, 3, 4, 5
Frequency (f): 4, 5, y, 1, 2

  • (a) 3
  • (b) 8
  • (c) 13
  • (d) 24
(b) 8
Explanation: Mean = Σfx / Σf
Σfx = (1*4) + (2*5) + (3*y) + (4*1) + (5*2) = 4 + 10 + 3y + 4 + 10 = 28 + 3y.
Σf = 4 + 5 + y + 1 + 2 = 12 + y.
2.6 = (28 + 3y) / (12 + y)
31.2 + 2.6y = 28 + 3y
3.2 = 0.4y => y = 8.

Question 8: Mode Value

CBSE 2023

The mode of the data: 15, 16, 17, 16, 15, 17, 16, 15, 15 is:

  • (a) 15
  • (b) 16
  • (c) 17
  • (d) 15 and 16
(a) 15
Explanation: Mode is the observation with the highest frequency.
15 appears 4 times. 16 appears 3 times. 17 appears 2 times.
So, mode is 15.

Question 9: Median Formula

The formula to find the median of grouped data is:

  • (a) l + [(n/2 - cf)/f] × h
  • (b) l + [(f1 - f0)/(2f1 - f0 - f2)] × h
  • (c) Σfiui / Σfi
  • (d) l + [(f1 - f0)/(f1 - f0)] × h
(a) l + [(n/2 - cf)/f] × h
Explanation: This is the standard formula for the median of grouped data. (b) is for Mode.

Question 10: Empirical Relation Application

CBSE PYQ 2025

If the mode of a distribution is 8 and its mean is 8, then its median is:

  • (a) 6
  • (b) 8
  • (c) 10
  • (d) 24
(b) 8
Explanation: 3 Median = Mode + 2 Mean
3 Median = 8 + 2(8) = 24
Median = 24 / 3 = 8. (Note: For a symmetric distribution, Mean = Median = Mode).

Question 11: Mean of Primes

CBSE 2019

The mean of the first five prime numbers is:

  • (a) 5.0
  • (b) 4.8
  • (c) 5.6
  • (d) 5.2
(c) 5.6
Explanation: First 5 primes: 2, 3, 5, 7, 11.
Sum = 2+3+5+7+11 = 28.
Mean = 28 / 5 = 5.6.

Question 12: Cumulative Frequency

Cumulative frequency curve is also known as:

  • (a) Frequency Polygon
  • (b) Histogram
  • (c) Ogive
  • (d) Pie Chart
(c) Ogive
Explanation: A cumulative frequency curve is graphically represented as an Ogive.

Question 13: Range

The range of the data: 15, 20, 6, 5, 30, 35, 90 is:

  • (a) 85
  • (b) 84
  • (c) 35
  • (d) 90
(a) 85
Explanation: Range = Maximum value - Minimum value.
Max = 90, Min = 5.
Range = 90 - 5 = 85.

Question 14: Median from Data

CBSE 2022

The median of the following data: 20, 25, 15, 30, 10, 35, 40 is:

  • (a) 30
  • (b) 25
  • (c) 20
  • (d) 15
(b) 25
Explanation: Arrange in ascending order: 10, 15, 20, 25, 30, 35, 40.
Number of terms n = 7 (odd).
Median = ((n+1)/2)th term = 4th term = 25.

Question 15: Upper Limit of Modal Class

CBSE PYQ 2020

For the following distribution:
Class: 0-5, 5-10, 10-15, 15-20, 20-25
Frequency: 10, 15, 12, 20, 9
The upper limit of the modal class is:

  • (a) 15
  • (b) 20
  • (c) 25
  • (d) 10
(b) 20
Explanation: Maximum frequency is 20. The corresponding class is 15-20. The upper limit of this class is 20.

Question 16: Mean of x

If the mean of x, x+3, x+6, x+9, and x+12 is 10, then x is:

  • (a) 1
  • (b) 2
  • (c) 6
  • (d) 4
(d) 4
Explanation: Mean = Sum / n.
Sum = 5x + 30. n = 5.
10 = (5x + 30) / 5
50 = 5x + 30
20 = 5x => x = 4.

Question 17: Mode Formula Term

In the formula for mode: l + [(f1 - f0)/(2f1 - f0 - f2)] × h, f0 represents:

  • (a) Frequency of the modal class
  • (b) Frequency of the class preceding the modal class
  • (c) Frequency of the class succeeding the modal class
  • (d) Cumulative frequency
(b) Frequency of the class preceding the modal class
Explanation: f1 is modal class freq, f0 is preceding class freq, f2 is succeeding class freq.

Question 18: Relationship x, y, z

CBSE PYQ 2024

If the mean, mode, and median of a frequency distribution are x, y, and z respectively, then the correct relationship is:

  • (a) x = 3z - 2y
  • (b) y = 3z - 2x
  • (c) z = 3x - 2y
  • (d) x = 3y - 2z
(b) y = 3z - 2x
Explanation: Mode = 3 Median - 2 Mean.
Substitute symbols: y = 3z - 2x.

Question 19: Cumulative Freq Utility

Construction of a cumulative frequency table is useful in determining the:

  • (a) Mean
  • (b) Median
  • (c) Mode
  • (d) Range
(b) Median
Explanation: Cumulative frequency is essential for locating the median class and calculating the median.

Question 20: Assumed Mean Method

In the assumed mean method for finding the mean, the deviation 'd' is calculated as:

  • (a) xi - a
  • (b) a - xi
  • (c) (xi - a)/h
  • (d) xi + a
(a) xi - a
Explanation: Deviation di = xi - a, where 'a' is the assumed mean.

Question 21: Measure for Open-End

Which measure of central tendency can be determined graphically?

  • (a) Mean
  • (b) Median
  • (c) Mode
  • (d) None of these
(b) Median
Explanation: Median can be determined graphically using Ogives. Mode can be determined using a Histogram. Mean cannot be determined graphically. (Since Median is the primary answer for Ogive questions, it is the best choice here).

Question 22: Median Class Upper Limit

CBSE 2025

For the following data, the upper limit of the median class is:
Class: 0-10, 10-20, 20-30, 30-40, 40-50
Freq: 4, 6, 10, 3, 2

  • (a) 20
  • (b) 30
  • (c) 40
  • (d) 25
(b) 30
Explanation: N = 25. N/2 = 12.5.
CF: 4, 10, 20, 23, 25.
12.5 lies in the class with CF 20 (which covers 11 to 20).
The class is 20-30. Upper limit is 30.

Question 23: Mode Calculation

If Mean = 20 and Median = 22, then Mode is:

  • (a) 20
  • (b) 26
  • (c) 24
  • (d) 22
(b) 26
Explanation: Mode = 3 Median - 2 Mean
Mode = 3(22) - 2(20)
Mode = 66 - 40 = 26.

Question 24: Mean Invariance

If each observation of a data is increased by 5, then their mean:

  • (a) remains the same
  • (b) becomes 5 times the original mean
  • (c) is decreased by 5
  • (d) is increased by 5
(d) is increased by 5
Explanation: If you add a constant 'k' to every observation, the mean also increases by 'k'.

Question 25: Class Mark Formula

In the formula x̄ = a + (Σfiui / Σfi) × h, ui is:

  • (a) (xi - a)
  • (b) (xi + a) / h
  • (c) (xi - a) / h
  • (d) h (xi - a)
(c) (xi - a) / h
Explanation: This is the formula for the Step-Deviation Method. ui = (xi - a) / h.

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