NCERT Solutions Class 10 Maths Chapter 14 Statistics – Here are all the NCERT solutions for Class 10 Maths Chapter 14. This solution contains questions, answers, images, explanations of the complete Chapter 14 titled Statistics of Maths taught in Class 10. If you are a student of Class 10 who is using NCERT Textbook to study Maths, then you must come across Chapter 14 Statistics. After you have studied lesson, you must be looking for answers of its questions. Here you can get complete NCERT Solutions for Class 10 Maths Chapter 14 Statistics in one place.
NCERT Solutions Class 9 Maths Chapter 14 Statistics
Here on AglaSem Schools, you can access to NCERT Book Solutions in free pdf for Maths for Class 9 so that you can refer them as and when required. The NCERT Solutions to the questions after every unit of NCERT textbooks aimed at helping students solving difficult questions.
For a better understanding of this chapter, you should also see summary of Chapter 14 Statistics , Maths, Class 9.
NCERT Solutions Class 9 Maths chapter 14 Statistics
Class 9, Maths chapter 14, Statistics solutions are given below in PDF format. You can view them online or download PDF file for future use.
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Question & Answer
Q.1: Give five examples of data that you can collect from your day-to-day life.
Ans : In our day to life, we can collect the following data. 1.Number Of females per 1000 males in various States Of our country. 2. Weights of students of our class . 3. Production of wheat in the last 10 years in our country . 4. Number of plants in our locality . 5. Rainfall in our city in the last 10 years
Q.2: Classify the data in Q.1 above as primary or secondary data.
Ans : The information which is collected by the investigator with a definite objective in his mind is called as primary data whereas when the information is gathered from a source which already had the information stored, it is called as secondary data. It can be observed that the data in 1, 3, and 5 IS secondary data and the data in 2 and 4 is primary data.
Q.3: The blood groups of 30 students of Class VIII are recorded as follows: A, B, O, O, AB, O, A, O, B, A, O, B, A, O, O, A, AB, O, A, A, O, O, AB, B, A, O, B, A, B, O. Represent this data in the form of a frequency distribution table. Which is the most common, and which is the rarest, blood group among these students?
Ans : It can be observed that 9 students have their blood group as A, 6 as B, 3 as Ad, and 12 as O. Therefore, the blood group of 30 students of the class can be represented as follows. It can be observed clearly that the most common blood group and the rarest blood group among these students is O and AB respectively as 12 (maximum number of students) have their blood group as O, and 3 (minimum number of students) have their blood group as AB.
Q.4: The distance (in km) of 40 engineers from their residence to their place of work were found as follows: 5 3 10 20 25 11 13 7 12 31 19 10 12 17 18 11 32 16 2 7 7 9 7 8 3 5 12 15 18 3 12 14 2 9 6 15 15 7 6 12 Construct a grouped frequency distribution table with class size 5 for the data given above taking the first interval as 0-5 (5 not included). What main features do you observe from this tabular representation?
Ans : Let us make the classes as 0-5, 5-10, 10-15, 15-20, 20-25, 25-30 and 30-35. The frequency distribution table will be as follows:
Q.5: The relative humidity (in %) of a certain city for a month of 30 days was as follows: 98.1 98.6 99.2 90.3 86.5 95.3 92.9 96.3 94.2 95.1 89.2 92.3 97.1 93.5 92.7 95.1 97.2 93.3 95.2 97.3 96.2 92.1 84.9 90.2 95.7 98.3 97.3 96.1 92.1 89 (i) Construct a grouped frequency distribution table with classes 84 - 86, 86 - 88, etc. (ii) Which month or season do you think this data is about? (iii) What is the range of this data?
Ans : (i) A grouped frequency distribution table of class size 2 has to be constructed. The class intervals will be -84 - 86, 86 - 88, and -99 - 90... By observing the data given above, the required table can be constructed as follows. (ii) It can be observed that the relative humidity is high. Therefore, the data is about a month of rainy season. (iii) Range of data = Maximum value — Minimum value =- 99.2 + 84.9 =- 14.3
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