NCERT Solutions for Class 10 Maths Chapter 14- Statistics are curated by our team of subject experts at Toppr in a detailed manner. NCERT Solutions for statistics class 10 are made strictly in accordance with the CBSE Curriculum and the exam pattern. The NCERT textbook questions are answered in a way to provide you with a better understanding of the concepts in a systematic and step-by-step manner. It also contains the appropriate diagrams to explain the concepts to the students. As Class 10 exams are Board exams, these solutions will not only help the students in preparing for the board exams but also for the Olympiads. NCERT Solutions provided by Toppr are the best study material to excel in the exams. Also, the MCQs and long and short questions are all answered according to the weightage and the exam pattern. With the help of NCERT Statistics Class 10 Solutions you can also test your subject knowledge and analyze your shortcomings and work on them before the exams. These are the best resources designed after proper study and research and study to help the students in scoring good marks.
Number of plants | |||||||
Number of houses |
No. of plants | No. of houses | Mid point | |
Total |
Daily wages(in rs) | Number of workers |
500-200 | 12 |
520-540 | 14 |
540-560 | 8 |
560-580 | 6 |
580-600 | 10 |
Daily wages | |||
$$5900 | |||
Daily pocket allowance (in ) | |||||||
Number of children |
Number of heart beats per minute | 0 | ||||||
Number of women |
Class interval | Mid value | | ||
Total |
Number of mangoes | |||||
Number of boxes |
Number of mangoes | Number of boxes | ||
50-52 | 15 | 51 | 765 |
53-55 | 110 | 54 | 5940 |
56-58 | 135 | 57 | 7695 |
59-61 | 115 | 60 | 6900 |
62-64 | 25 | 63 | 1575 |
Daily expenses (in Rs.) | 100-150 | 150-200 | 200-250 | 250-300 | 300-350 |
No. of households | 4 | 5 | 12 | 2 | 2 |
Daily Expense | Households (fi) | Mid Point (xi) | fi xi |
100 - 150 | 4 | 125 | 500 |
150 - 200 | 5 | 175 | 875 |
200 - 250 | 12 | 225 | 2700 |
250 - 300 | 2 | 275 | 550 |
300 - 350 | 2 | 325 | 650 |
25 | 5275 |
Concentration of (in ppm) | Frequency |
Concentration of (in ppm) | Frequency | ||
0.00-0.04 | 0.02 | 4 | 0.08 |
0.04-0.08 | 0.06 | 9 | 0.54 |
0.08-0.12 | 0.10 | 9 | 0.90 |
0.12-0.16 | 0.14 | 2 | 0.28 |
0.16-0.20 | 0.18 | 4 | 0.72 |
0.20-0.24 | 0.22 | 2 | 0.44 |
Number of days: | 0-6 | 6-10 | 10-14 | 14-20 | 20-28 | 28-38 | 38-40 |
Number of students: |
No. of days | No. of student | ||
0-6 | 11 | 3 | 33 |
6 - 10 | 10 | 8 | 80 |
10 - 14 | 7 | 12 | 84 |
14 - 20 | 4 | 17 | 68 |
20 - 28 | 4 | 24 | 96 |
28 - 38 | 3 | 33 | 99 |
38 - 40 | 1 | 39 | 39 |
Age (in years) | ||||||
Number of patients |
Question 1. State the empirical relationship between the Measures of Central Tendency.
Answer. The empirical relationship between the three measures of central tendency is as follows: 3 Median = Mode + 2 Mean
Question 2. What do you understand by Mean?
Answer. Mean is a measure of the central tendency of a distribution. It refers to the most common or the average value of the given data. There are two types of mean that can be calculated. One is the Arithmetic Mean and the other one is the Geometric Mean. The three methods to calculate the Arithmetic Mean are the direct method, the step-deviation method and the assumed mean method.
Question 3. What do you understand by Median?
Answer. Median refers to the middle number or value of the given set of data when the data is arranged in an ascending or descending order. When the data set contains odd numbers, the median will be the middle value or number that has half of the numbers above it and half of the number below it. However, in the case of even numbers, the median is calculated by adding the two middle numbers and dividing their sum by two. It is also a measure of central tendency.
Question 4. What do you understand by Mode?
Answer. Mode is also a measure of central tendency similar to the Mean and Median. Mode refers to the number or value that is most frequent in a given set of data. In other words, Mode is that value in a given data which occurs the most number of times. Thus, a distribution of data may have only one mode, more than one mode or no mode at all.