NCERT Solutions For Class 9 Maths Chapter 14 Statistics in Hindi - 2025-26
NCERT Solutions For Class 9 Maths Chapter 14 Statistics in Hindi - 2025-26
FAQs on NCERT Solutions For Class 9 Maths Chapter 14 Statistics in Hindi - 2025-26
1. Where can I find complete and accurate NCERT Solutions for Class 9 Maths Chapter 14 (Statistics)?
Vedantu provides comprehensive, exercise-wise NCERT Solutions for Class 9 Maths Chapter 14, Statistics. These solutions are crafted by subject matter experts and provide a detailed, step-by-step guide to solving every problem in the NCERT textbook, ensuring you understand the correct methodology for your exams.
2. Are these NCERT Solutions for Class 9 Maths Chapter 14 updated for the latest CBSE 2025-26 syllabus?
Yes, all NCERT Solutions on Vedantu, including those for Class 9 Maths Chapter 14, are fully updated and aligned with the latest CBSE/NCERT syllabus for the academic year 2025-26. Our experts ensure that every solution adheres to the current curriculum and marking guidelines.
3. What is the correct step-by-step method to construct a histogram for continuous class intervals as explained in the NCERT solutions?
The NCERT solutions explain the following method for constructing a histogram:
Step 1: Take the given class intervals along the x-axis and the corresponding frequencies along the y-axis.
Step 2: For each class interval, draw a rectangle with the class interval as the base and the frequency as the height.
Step 3: Since the class intervals are continuous, the rectangles will be adjacent to each other with no gaps. If the intervals are discontinuous, you must first make them continuous by adjusting the class limits.
4. How do the NCERT Solutions for Chapter 14 explain the process of finding the mean, median, and mode for ungrouped data?
The solutions provide clear, formula-based methods for each measure of central tendency:
Mean: It is calculated by summing all the observations and dividing by the total number of observations.
Median: The data is first arranged in ascending order. If the number of observations (n) is odd, the median is the ((n+1)/2)th term. If n is even, it's the average of the (n/2)th and ((n/2)+1)th terms.
Mode: This is simply the observation that appears most frequently in the dataset.
5. What is the main difference between constructing a bar graph and a histogram, according to the methods shown in the NCERT Solutions?
The key difference highlighted in the NCERT Solutions is the nature of the data they represent. A bar graph is used for discrete, separate categories, so there are gaps between the bars. In contrast, a histogram is used for continuous data in the form of class intervals, and therefore, the rectangular bars are drawn adjacent to each other without any gaps.
6. Why is it crucial to follow the precise steps given in the NCERT Solutions when solving statistics problems for exams?
Following the precise steps from NCERT Solutions is crucial because CBSE evaluates not just the final answer but the methodology itself. Each step, such as correctly labelling axes, choosing the right scale, and showing calculation formulas, carries marks. Skipping steps can lead to mark deductions and increases the chance of calculation errors, especially in complex problems involving frequency distribution tables or graphical representations.
7. How do the NCERT Solutions for Class 9 Statistics help build a conceptual foundation for more advanced topics in Class 10?
These solutions do more than just solve problems; they build a strong foundation. By mastering the Class 9 concepts of data presentation (histograms, frequency polygons) and measures of central tendency for ungrouped data, you are well-prepared for Class 10. In Class 10, you will apply similar principles to more complex grouped data and learn advanced methods for calculating mean, median, and mode, which rely on the foundational understanding developed in Class 9.
8. How do the solutions explain the method for drawing a frequency polygon correctly?
The NCERT solutions outline two correct methods:
Without a histogram: Calculate the class mark (mid-point) for each class interval. Plot these class marks on the x-axis against their corresponding frequencies on the y-axis. Join these points with straight line segments.
With a histogram: First, draw a histogram for the data. Then, join the mid-points of the tops of the adjacent rectangles with line segments to form the polygon.



































