CBSE Class 10 Maths Chapter 13: Statistics and Probability NCERT Solutions

NCERT Solutions PDF Class 10 PDF

This resource provides comprehensive NCERT Solutions for Class 10 Mathematics, Chapter 13, focusing on Statistics and Probability. It covers multiple-choice questions (MCQs) that test fundamental concepts related to calculating the mean of grouped data using different methods like the assumed mean method and the step-deviation method. The solutions also delve into understanding cumulative frequency curves (ogives) and their role in determining the median. Key topics include the interpretation of formulas for mean, the significance of class marks, and the graphical representation of data. These detailed explanations and step-by-step solutions are designed to help students grasp the core principles of statistics and probability, aiding in their exam preparation and revision.

Quick info

BoardCBSE
ClassClass 10
SubjectMaths (Exemplar)
Session2026
LanguageEnglish
TypeNCERT Solutions
Chapter13. Statistics and Probability

Chapter summary

Chapter 13 of the Class 10 NCERT Mathematics textbook deals with Statistics and Probability. This section provides NCERT Solutions for the Multiple Choice Questions (MCQs) in Exercise 13.1. The solutions focus on understanding the formulas and concepts behind calculating the mean of grouped data, including the role of class marks, deviations, and assumed means. It also touches upon graphical methods for finding the median using cumulative frequency curves (ogives).

Learning outcomes

  • Understand the formula for calculating the mean of grouped data using the assumed mean method.
  • Identify the meaning of deviations (d_i) in the context of the assumed mean method.
  • Recognize that frequencies are assumed to be centered at class marks when calculating the mean of grouped data.
  • Apply the concept that the sum of (f_i * x_i - mean) is zero for grouped data.
  • Understand the step-deviation formula for calculating the mean and the definition of u_i.
  • Determine the median of grouped data using the intersection point of cumulative frequency curves (ogives).
  • Calculate the sum of lower limits of the median and modal classes for a given frequency distribution.

Topics covered

Paper topics

  • Mean of Grouped Data
  • Assumed Mean Method
  • Step-Deviation Method
  • Class Marks
  • Frequencies
  • Deviations
  • Cumulative Frequency Curves (Ogive)
  • Less Than Ogive
  • More Than Ogive
  • Median from Ogive
  • Modal Class
  • Median Class

Important topics

  • Mean of Grouped Data (Assumed Mean & Step-Deviation)
  • Understanding u_i and d_i
  • Median from Cumulative Frequency Curves (Ogive)
  • Identifying Median and Modal Classes

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Questions and Solutions

Question 1

In the formula \bar{x} = a + \frac{\sum f_i d_i}{\sum f_i}, used for finding the mean of grouped data, what do the terms d_i's represent?
  1. Upper limits of the classes
  2. Lower limits of the classes
  3. Mid-points of the classes
  4. Frequencies of the class marks
Solution:
  1. The formula \bar{x} = a + \frac{\sum f_i d_i}{\sum f_i} is used for calculating the mean of grouped data using the assumed mean method. In this method, d_i represents the deviation of the class mark (mid-point) from the assumed mean 'a'. Therefore, d_i = x_i - a, where x_i is the mid-point of the class interval. The correct option is (c).

Question 2

While computing the mean of grouped data, it is generally assumed that the frequencies are:
  1. Evenly distributed over all the classes
  2. Centered at the class marks of the classes
  3. Centered at the upper limits of the classes
  4. Centered at the lower limits of the classes
Solution:

When calculating the mean of grouped data, we simplify the process by assuming that all the observations within a particular class interval are concentrated at the class mark (mid-point) of that interval. This assumption allows us to treat the data as discrete, with frequencies corresponding to these class marks. Thus, the frequencies are considered to be centered at the class marks of the classes. The correct option is (b).

Question 3

If x_i's are the mid-points of the class intervals of grouped data, f_i's are the corresponding frequencies, and \bar{x} is the mean, then \Sigma(f_i x_i - \bar{x}) is equal to:
  1. 0
  2. -1
  3. 1
  4. 2
Solution:

Let n = \Sigma f_i be the total number of observations. The formula for the mean \bar{x} of grouped data is given by:

\bar{x} = \frac{\sum f_i x_i}{n}

From this, we can write \sum f_i x_i = n\bar{x}.

Now, consider the expression \Sigma(f_i x_i - \bar{x}). We can split the summation:

\Sigma (f_i x_i - \bar{x}) = \sum f_i x_i - \sum \bar{x}

Since \bar{x} is a constant value (the mean), the summation \sum \bar{x} means adding \bar{x} to itself n times (where n = \Sigma f_i is the total number of terms). So, \sum \bar{x} = n\bar{x}.

Substituting this back into the equation:

\Sigma (f_i x_i - \bar{x}) = n\bar{x} - n\bar{x} = 0 Therefore, \Sigma(f_i x_i - \bar{x}) is equal to 0. The correct option is (a).

Question 4

In the formula \bar{x} = a + h\left(\frac{\sum f_i u_i}{\sum f_i}\right), used for finding the mean of a grouped frequency distribution, what is u_i equal to?
  1. \frac{x_i + a}{h}
  2. h(x_i - a)
  3. \frac{x_i - a}{h}
  4. \frac{a - x_i}{h}
Solution:

The formula \bar{x} = a + h\left(\frac{\sum f_i u_i}{\sum f_i}\right) is known as the step-deviation method for calculating the mean of grouped data. In this method:

  • a is the assumed mean.
  • h is the class width (the difference between the upper and lower limits of a class interval).
  • x_i is the class mark (mid-point) of the class interval.
  • u_i is defined as the deviation of the class mark from the assumed mean, divided by the class width.

So, the relationship is u_i = \frac{x_i - a}{h}.

This transformation simplifies calculations, especially when class widths are uniform and deviations are large.

The correct option is (c).

Question 5

The abscissa (x-coordinate) of the point of intersection of the 'less than' type and the 'more than' type cumulative frequency curves (ogives) of a grouped data gives its:
  1. Mean
  2. Median
  3. Mode
  4. All of these
Solution:

Cumulative frequency curves, also known as ogives, are graphical representations used to determine statistical measures like the median. Specifically, when you plot both the 'less than' ogive and the 'more than' ogive on the same set of axes, their point of intersection is significant. The x-coordinate (abscissa) of this intersection point corresponds to the median of the grouped data. The y-coordinate represents the cumulative frequency at the median. Therefore, the intersection point of the less than and more than ogives gives the median on the abscissa. The correct option is (b).

Question 6

For the following distribution:

Class: 0-5, 5-10, 10-15, 15-20, 20-25

Frequency: 10, 15, 12, 9, 20

The sum of the lower limits of the median class and the modal class is:
  1. 15
  2. 25
  3. 30
  4. 35
Solution:

First, let's identify the median class and the modal class from the given frequency distribution.

1. Finding the Median Class:

The total frequency (n) is 10 + 15 + 12 + 9 + 20 = 66.

The position of the median is \frac{n}{2} = \frac{66}{2} = 33rd observation.

Let's calculate the cumulative frequencies (CF):

  • Class 0-5: Frequency = 10, CF = 10
  • Class 5-10: Frequency = 15, CF = 10 + 15 = 25
  • Class 10-15: Frequency = 12, CF = 25 + 12 = 37
  • Class 15-20: Frequency = 9, CF = 37 + 9 = 46
  • Class 20-25: Frequency = 20, CF = 46 + 20 = 66

The cumulative frequency just greater than or equal to 33 is 37, which corresponds to the class interval 10-15. Therefore, the median class is 10-15.

The lower limit of the median class is 10.

2. Finding the Modal Class:

The modal class is the class interval with the highest frequency. In the given distribution, the highest frequency is 20, which corresponds to the class interval 20-25.

Therefore, the modal class is 20-25.

The lower limit of the modal class is 20.

3. Sum of Lower Limits:

Sum of the lower limits of the median class and the modal class = (Lower limit of median class) + (Lower limit of modal class)

= 10 + 20 = 30.

The correct option is (c).

Common mistakes

  • Confusing the definition of deviations (d_i) with upper or lower class limits instead of mid-points.
  • Incorrectly applying the formula for u_i in the step-deviation method.
  • Misidentifying the median class or modal class from a frequency distribution.
  • Errors in calculating cumulative frequencies or plotting ogives.

Revision tips

  • Review the different formulas for calculating the mean of grouped data and understand when to use each.
  • Practice identifying class marks, class intervals, and frequencies accurately from data tables.
  • Understand the graphical interpretation of ogives for finding the median.
  • Work through the MCQs to reinforce understanding of key definitions and formula components.

Practice MCQs

Q1. In the formula \(\bar{x} = a + \frac{\sum f_i d_i}{\sum f_i}\) for finding the mean of grouped data, what do \(d_i\)'s represent?

Q2. When computing the mean of grouped data, it is assumed that the frequencies are:

Q3. If \(x_i\)'s are the mid-points of class intervals, \(f_i\)'s are the corresponding frequencies, and \(\bar{x}\) is the mean, what is the value of \(\Sigma(f_i x_i - \bar{x})\)?

Q4. In the step-deviation formula for the mean, \(\bar{x} = a + h\left(\frac{\sum f_i u_i}{\sum f_i}\right)\), what is \(u_i\) equal to?

Q5. The abscissa (x-coordinate) of the point where the 'less than' and 'more than' cumulative frequency curves intersect represents the:

Frequently asked questions

What is the main focus of Exercise 13.1 in Class 10 Maths NCERT Solutions for Statistics and Probability?

Exercise 13.1 focuses on Multiple Choice Questions (MCQs) related to the calculation of the mean for grouped data using different methods and understanding the graphical representation of data for finding the median.

How is the mean of grouped data calculated using the assumed mean method?

The mean is calculated using the formula \(\bar{x} = a + \frac{\sum f_i d_i}{\sum f_i}\), where 'a' is the assumed mean, \(f_i\) are frequencies, and \(d_i\) are the deviations of class marks from the assumed mean.

What does the intersection of 'less than' and 'more than' ogives represent?

The point where the 'less than' and 'more than' cumulative frequency curves (ogives) intersect graphically represents the median of the data. The x-coordinate of this point is the median value.

In the step-deviation method for finding the mean, what is the significance of 'h'?

'h' in the step-deviation formula \(\bar{x} = a + h\left(\frac{\sum f_i u_i}{\sum f_i}\right)\) represents the class width or the size of the class interval.

How can these NCERT solutions help in exam preparation?

These solutions provide clear, step-by-step explanations for each MCQ, helping students understand the underlying concepts, formulas, and methods, which is crucial for tackling similar problems in exams.

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