CBSE Class 10 Mathematics Chapter 14 Statistics NCERT Solutions
This chapter provides comprehensive NCERT Solutions for Class 10 Mathematics, focusing on Statistics (Chapter 14). Students will learn to analyze data by calculating the mean, median, and mode for grouped data. The solutions cover various methods for finding the mean, including the direct method, assumed mean method, and step-deviation method, explaining when each is most appropriate. It also details how to find the median and mode from frequency distribution tables. These solutions are designed to help students understand the concepts thoroughly and build a strong foundation for statistical analysis, crucial for exam preparation and data interpretation.
Quick info
| Board | CBSE |
|---|---|
| Class | Class 10 |
| Subject | Mathematics |
| Session | 2026 |
| Language | English |
| Type | NCERT Solutions |
| Chapter | Chapter 14 |
Chapter summary
Chapter 14 on Statistics for Class 10 Maths NCERT Solutions covers the fundamental concepts of data analysis. It focuses on calculating measures of central tendency for grouped data: mean, median, and mode. The solutions provide step-by-step guidance on using different methods like the direct method, assumed mean method, and step-deviation method for finding the mean. It also explains how to determine the median and mode from frequency tables, equipping students with essential skills for interpreting statistical information.
Learning outcomes
- Understand the concepts of mean, median, and mode for grouped data.
- Apply the direct method to calculate the mean of a frequency distribution.
- Utilize the assumed mean method for calculating the mean efficiently.
- Implement the step-deviation method for finding the mean with large class marks.
- Determine the median of a grouped frequency distribution.
- Calculate the mode for a grouped frequency distribution.
- Choose the most appropriate method for calculating the mean based on the data.
Topics covered
Paper topics
- Statistics
- Mean of grouped data
- Direct Method for Mean
- Assumed Mean Method for Mean
- Step-Deviation Method for Mean
- Class Mark
- Class Interval
- Frequency Distribution
- Median of grouped data
- Mode of grouped data
Important topics
- Mean of grouped data (all methods)
- Median of grouped data
- Mode of grouped data
- Choosing the appropriate method for calculating the mean
- Understanding class intervals and class marks
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Questions and Solutions
Question 1
Number of plants | Number of houses
0 - 2 | 2
2 - 4 | 3
4 - 6 | 1
6 - 8 | 5
8 - 10 | 6
10 - 12 | 2
12 - 14 | 3
Which method did you use for finding the mean, and why?
To find the mean number of plants per house, we can use the direct method. First, we need to calculate the class mark (x_i) for each class interval using the formula:
Next, we calculate the product of each class mark (x_i) and its corresponding frequency (f_i), which represents the number of houses. Finally, we sum these products (Σf_i x_i) and the frequencies (Σf_i) to find the mean using the formula:
Let's construct the table:
| Number of plants (Class Interval) | Number of houses (f_i) | Class Mark (x_i) | f_i x_i |
| 0 - 2 | 2 | ||
| 2 - 4 | 3 | ||
| 4 - 6 | 1 | ||
| 6 - 8 | 5 | ||
| 8 - 10 | 6 | ||
| 10 - 12 | 2 | ||
| 12 - 14 | 3 | ||
| Total |
From the table, we have:
Now, we calculate the mean:
The mean number of plants per house is approximately 7.55.
Method Used: The Direct Method was used. This method is suitable here because the class marks (x_i) and the frequencies (f_i) are relatively small, making the calculation of f_i x_i straightforward and less prone to arithmetic errors.
Question 2
Daily wages (in Rs)
100 - 120 | 120 - 140 | 140 - 160 | 160 - 180 | 180 - 200
Number of workers | 12 | 14 | 10 | 8 | 6
To find the mean daily wages, we first need to calculate the class mark (x_i) for each class interval. The formula for the class mark is:
The class size (h) for this data is uniform, .
Since the class marks might be larger numbers, the Assumed Mean Method or the Step-Deviation Method would be appropriate. Let's use the Assumed Mean Method. We assume a mean (a) from the class marks, preferably the one with the highest frequency. Let's choose (the class mark for 140-160).
We then calculate the deviation for each class.
The mean is then calculated using the formula:
Let's construct the table:
| Daily Wages (Class Interval) | Number of Workers (f_i) | Class Mark (x_i) | Deviation (d_i = x_i - a) (a=150) | f_i d_i |
| 100 - 120 | 12 | |||
| 120 - 140 | 14 | |||
| 140 - 160 | 10 | |||
| 160 - 180 | 8 | |||
| 180 - 200 | 6 | |||
| Total |
From the table, we have:
Now, we calculate the mean using the Assumed Mean Method formula:
Therefore, the mean daily wages of the workers of the factory is Rs 142.8.
Appropriate Method: The Assumed Mean Method was used because the class marks and deviations were manageable, simplifying the calculation compared to the direct method.
Common mistakes
- Incorrectly calculating the class mark (midpoint) for each class interval.
- Errors in summing the frequencies (Σf_i) or the products (Σf_i x_i, Σf_i u_i).
- Using the wrong formula for mean, median, or mode.
- Misidentifying the median class or modal class.
- Arithmetic errors in calculations, especially with negative numbers or fractions.
Revision tips
- Practice calculating the mean using all three methods (direct, assumed mean, step-deviation) to understand their applications.
- Pay close attention to identifying the correct median class and applying the median formula accurately.
- Ensure you correctly determine the modal class and use the mode formula precisely.
- Review the formulas for class mark, mean, median, and mode before attempting problems.
- Work through the examples and exercises systematically to build confidence.
Practice MCQs
Q1. What is the formula for calculating the class mark (x_i) of a class interval?
Explanation: The class mark, or midpoint, of a class interval is found by averaging the upper and lower limits of that interval.
Q2. Which method is generally preferred for calculating the mean when class marks (x_i) and frequencies (f_i) are small?
Explanation: The direct method is straightforward and efficient when the values of f_i and x_i are small, minimizing calculation complexity.
Q3. In the assumed mean method for calculating the mean, what does 'd_i' represent?
Explanation: d_i represents the difference between the class mark (x_i) and the assumed mean (a), calculated as d_
Q4. What is the class size (h) in the context of grouped data?
Explanation: The class size (h) is the uniform difference between the upper and lower limits of consecutive class intervals in a frequency distribution.
Q5. The step-deviation method is particularly useful when:
Explanation: The step-deviation method simplifies calculations by dividing the deviations by the common factor (class size), making it efficient for data with uniform class sizes and common factors in deviations.
Frequently asked questions
What is Chapter 14 of Class 10 Maths NCERT about?
Chapter 14 of Class 10 Maths NCERT Solutions focuses on Statistics, covering methods to calculate measures of central tendency like mean, median, and mode for grouped data.
What are the different methods to find the mean of grouped data?
The three main methods to find the mean of grouped data are the Direct Method, the Assumed Mean Method, and the Step-Deviation Method.
When should I use the Assumed Mean Method or Step-Deviation Method instead of the Direct Method?
These methods are preferred when the class marks (x_i) and frequencies (f_i) are large, as they simplify calculations. The Step-Deviation Method is especially useful when class sizes are uniform and deviations share a common factor.
How do these NCERT Solutions help in exam preparation?
These solutions provide clear, step-by-step explanations for each problem, helping students understand the concepts and methods thoroughly, which is essential for performing well in exams.
Are the formulas for median and mode covered in these solutions?
Yes, the solutions for Chapter 14 typically include explanations and applications of the formulas for calculating the median and mode of grouped frequency distributions.
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