NCERT Solutions for Maths Class 10 Chapter 13 Statistics Exercise 13.2 - FREE PDF Download
NCERT Solutions for Class 10 Maths Chapter 13 Statistics Ex 13.2
FAQs on NCERT Solutions for Class 10 Maths Chapter 13 Statistics Ex 13.2
1. What is the step-by-step method to calculate the mode for grouped data as per the NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.2?
- Identify the modal class: This is the class interval with the highest frequency in the distribution table.
- Apply the standard mode formula for grouped data:
Mode = L + [(f1-f0) / (2f1 - f0 - f2)] × h, where:
- L is the lower class boundary of the modal class
- f1 is the frequency of the modal class
- f0 is the frequency of the class before the modal class
- f2 is the frequency of the class after the modal class
- h is the class width - Substitute the values from your frequency table as per the problem and calculate the mode.
2. How does the mean differ from the mode in the context of grouped data in Class 10 Maths Chapter 13?
The mean is the average value of the dataset, calculated using all the observations. The mode represents the most frequently occurring value or class. In grouped data, the mean may reflect the general average, while the mode highlights the most common class interval. Both are measures of central tendency but may yield different values based on the data distribution.
3. What common errors should students avoid while applying the mode formula for grouped data in NCERT Solutions for Class 10 Maths Chapter 13?
- Incorrectly identifying the modal class (not always the class with the numerically largest interval but the one with highest frequency)
- Miscalculating the class width (h), especially when intervals are uneven
- Substituting wrong values for f0, f1, or f2
- Omitting units in the final answer
- Not checking if the modal class really has the maximum frequency
4. Why is learning to calculate the mode of grouped data important as per Class 10 Maths Chapter 13 NCERT Solutions?
Understanding how to find the mode of grouped data helps students analyze large datasets and identify the most common occurrence within a set, which is valuable in fields like economics, social sciences, and quality control. It also builds strong foundational knowledge for higher-level statistics in future classes.
5. What is the significance of the modal class in solving questions from Class 10 Maths Chapter 13 Exercise 13.2?
The modal class is crucial because it determines the base interval for mode calculation in grouped data. All other values in the formula depend on correctly identifying this class. Without the right modal class, the computed mode will not accurately describe the dataset's most common value.
6. How do you find the mean of grouped data using the assumed mean method as per NCERT Solutions for Class 10 Maths Chapter 13?
- Select an assumed mean (a) close to the class marks
- Find deviations (di = xi - a) for each class mark xi
- Calculate ui = di / h, where h is the class interval width
- Multiply each frequency (fi) with corresponding ui and sum all products
- Apply the formula: Mean = a + [ (Σfiui)/Σfi ] × h
7. In which real-life situations can the concept of mode from Class 10 Statistics be applied?
The concept of mode is applied in determining most common salaries in a company, most frequently sold product sizes, household expenditure analysis, and identifying the most common age group of patients in a hospital, as practiced in the NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.2.
8. What is meant by ungrouped data in the context of Class 10 Maths Chapter 13, and how is it different from grouped data?
Ungrouped data refers to data presented in raw, individual form, without being classified into intervals. Grouped data is organized into classes or intervals with corresponding frequencies. Calculations like mean and mode differ for each, with grouped data requiring specialized formulas as in Exercise 13.2.
9. How can practicing the NCERT Solutions for Class 10 Maths Chapter 13 help improve exam performance?
Practicing these NCERT Solutions ensures students:
- Understand and apply stepwise statistical methods as per CBSE pattern
- Avoid common calculation mistakes
- Strengthen problem-solving and critical analysis skills
- Gain familiarity with likely exam question formats
10. What are fundamental differences between the mean, median, and mode in statistics, as covered in NCERT Class 10 Maths Chapter 13?
- Mean: Arithmetic average of all values
- Median: Middle value when data is arranged in order
- Mode: Value or class with the highest frequency
11. Why is it essential to correctly calculate class marks and frequencies when solving grouped data questions?
Accurate calculation of class marks and frequencies ensures correct identification of modal and mean values. Errors in class intervals or frequency tallying will result in incorrect application of formulas and thus wrong answers, impacting both accuracy and concept clarity.
12. How do Vedantu's NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.2 make statistical concepts easier to understand?
Vedantu's solutions provide step-by-step, expert-verified explanations for every problem, using CBSE-recommended methods. This makes it simple for students to grasp calculation procedures, improve conceptual clarity, and practice efficiently for exams.
13. What role does frequency distribution play in solving Exercise 13.2 of NCERT Class 10 Maths Chapter 13?
Frequency distribution organizes data into intervals and shows how often each interval occurs. It is fundamental for finding modal class and applying both mean and mode formulas correctly, as every step in Exercise 13.2 depends on this distribution.
14. If two classes share the highest frequency in grouped data, how should students approach finding the mode?
If there is a bimodal distribution (two classes with equal maximum frequency), students should state both classes as modal and may mention that the mode is not unique. For CBSE exams, follow the method specified or consult the teacher's instruction for such cases.
15. How does understanding the steps to find the mode help in analyzing real-world data sets in higher classes?
Learning the steps to find the mode builds core data analysis skills applicable in senior classes, competitive exams, and various fields like social sciences, economics, research, and business analytics, where identifying trends or majorities in large datasets is essential.











