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Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics PDF Download

PAGE NO 23.7:

Question 1:

Define the following terms:
  (i) Observations
  (ii) Raw data
  (iii) Frequency of an observation
  (iv) Frequency distribution
  (v) Discrete frequency distribution
  (vi) Grouped frequency distribution
  (vii) Class-interval
  (viii) Class-size
  (ix) Class limits
  (x) True class limits

ANSWER:

(i) Observation is the value at a particular period of a particular variable.
(ii) Raw data is the data collected in its original form.
(iii) Frequency of an observation is the number of times a certain value or a class of values occurs.
(iv) Frequency distribution is the organisation of raw data in table form with classes and frequencies.
(v) Discrete frequency distribution is a frequency distribution where sufficiently great numbers are grouped into one class.
(vi) Grouped frequency distribution is a frequency distribution where several numbers are grouped into one class.
(vii) Class interval is the width of such a class.
(viii) Class size is the difference between the upper and the lower values of a class.
(ix) Class limits are the smallest and the largest observations (data, events, etc.) in a class.
(x) True class limits are the actual class limits of a class.


Question 2:

The final marks in mathematics of 30 students are as follows:

53,61,48,60,78,68,55,100,67,90,75,88,77,37,84,
58,60,48,62,56,44,58,52,64,98,59,70,39,50,60

(i) Arrange these marks in the ascending order, 30 to 39 one group, 40 to 49 second group etc.
  Now answer the following:
  (ii) What is the highest score?
  (iii) What is the lowest score?
  (iv) What is the range?
  (v) If 40 is the pass mark how many have failed?
  (vi) How many have scored 75 or more?
  (vii) Which observations between 50 and 60 have not actually appeared?
  (viii) How many have scored less than 50?

ANSWER:

The given raw data can be arranged in an ascending order. The class intervals are 30 − 39, 40 − 49,...100 − 109. Then, take the raw data and place it in the appropriate class intervals.
(i) The marks can be arranged in an ascending order as shown below:
    30 to 39 → 37, 39
    40 to 49 → 44, 48, 48
    50 to 59 → 50, 52, 53,
55, 56, 58, 58, 59
    60 to 69 → 60, 60, 60, 61, 62, 64, 67, 68
    70 to 79 → 70, 75, 77, 78
    80 to 89 → 84, 88
    90 to 99 → 90, 98
    100 to 109 → 100
(ii) The highest score is 100.
(iii) The lowest score is 37.
(iv) The range is 100 − 37, i.e. 63.
(v) If 40 is the passing mark, then the number of students who failed is 2 (i.e. 37, 39).
(vi) The number of students scoring 75 and above is 8 (i.e. 75, 77, 78, 84, 88, 90, 98, 100).
(vii) The marks 51, 54, and 57 do not actually appear between 50 and 60.
(viii) The number of students scoring less than 50 is 5 (i.e. 37, 39, 44, 48, 48).


Question 3:

The weights of new born babies (in kg) in a hospital on a particular day are as follows:
  2.3, 2.2, 2.1, 2.7, 2.6, 3.0, 2.5, 2.9, 2.8, 3.1, 2.5, 2.8, 2.7, 2.9, 2.4
  (i) Rearrange the weights in descending order.
  (ii) Determine the highest weight.
  (iii) Determine the lowest weight.
  (iv) Determine the range.
  (v) How many babies were born on that day?
  (vi) How many babies weigh below 2.5 kg?
  (vii) How many babies weigh more than 2.8 kg?
  (viii) How many babies weigh 2.8 kg?

ANSWER:

The frequency distribution of the weights of new born babies in a hospital on a particular day is represented in the following table:
(i) The weights of the newly born babies in descending order are as follows:

WeightTally marksFrequency
3.1I1
3.0I1
2.9II2
2.8II2
2.7II2
2.6I1
2.5II2
2.4I1
2.3I1
2.2I1
2.1I1


(ii) The highest weight is 3.1 kg.
(iii) The lowest weight is 2.1 kg.
(iv) The range is 3.1 − 2.1, i.e. 1 kg.
(v) The number of babies born on that day is 15.
(vi) The number of babies whose weights are below 2.5 kg is 4 (i.e. 2.4, 2.3, 2.2, 2.1).
(vii) The number of babies whose weights are more than 2.8 kg is 4 (i.e. 3.1, 3.0, 2.9, 2.9).
(viii) The number of babies whose weight is 2.8 kg is 2.

 

PAGE NO 23.8:

Question 4:

Following data gives the number of children in 40 families:
  1, 2, 6, 5, 1, 5, 1, 3, 2, 6, 2, 3, 4, 2, 0, 0, 4, 4, 3, 2, 2, 0, 0, 1, 2, 2, 4, 3, 2, 1, 0, 5, 1, 2, 4, 3, 4, 1, 6, 2, 2.
  Represent it in the form of a frequency distribution.

ANSWER:

The data can be put in the form of frequency distribution in the following manner:

Number of ChildrenTally marksFrequency
0Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics5
1Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics ||7
2Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 MathematicsChapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics ||12
3Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics5
4Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics |6
5|||3
6|||3

 


Question 5:

Prepare a frequency table of the following scores obtained by 50 students in a test:

42,51,21,42,37,37,42,49,38,52,7,33,17,
44,39,7,14,27,39,42,42,62,37,39,67,51,
53,53,59,41,29,38,27,31,64,19,53,51,22,
61,42,39,59,47,33,34,16,37,57,43,  

ANSWER:

The frequency table of 50 students is given below:

MarksNumber of StudentsMarksNumber of StudentsMarksNumber of Students
72332491
141341513
161374521
171382533
191394541
211411571
221426592
272431611
291441621
311471671

 


Question 6:

A die was thrown 25 times and following scores were obtained:

1,5,2,4,3,6,1,4,2,5,1,6,2,
6,3,5,4,1,3,2,3,6,1,5,2, 

Prepare a frequency table of the scores.

ANSWER:

The frequency of the scores of the die is shown below:

The DieTally MarksFrequency
1Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics5
2Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics5
3||||4
4|||3
5||||4
6||||4

 


Question 7:

In a study of number of accidents per day, the observations for 30 days were obtained as follows:

6,3,5,6,4,3,2,5,4,2,4,2,1,2,2,
0,5,4,6,1,6,0,5,3,6,1,5,5,2,6

Prepare a frequency distribution table.

ANSWER:

The frequency table for the number of accidents per day for a period of 30 days is given below:

Number of AccidentsTally MarksFrequency
0||2
1|||3
2Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics |6
3|||3
4||||4
5Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics|6
6Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics |6


Question 8:

Prepare a frequency table of the following ages (in years) of 30 students of class VIII in your school:
  13, 14, 13, 12, 14, 13, 14, 15, 13, 14, 13, 14, 16, 12, 14, 13, 14, 15, 16, 13, 14, 13, 12, 17, 13, 12, 13, 13, 13, 14

ANSWER:

The frequency table of the ages of 30 students of class VII in the school is given below:

AgeTally MarksFrequency
12||||4
13Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 MathematicsChapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics ||12
14Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics||||9
15||2
16||2
17|1

 


Question 9:

Following figures relate to the weekly wages (in Rs) of 15 workers in a factory:
  300, 250, 200, 250, 200, 150, 350, 200, 250, 200, 150, 300, 150, 200, 250
  Prepare a frequency table.
  (i) What is the range in wages (in Rs)?
  (ii) How many workers are getting Rs 350?
  (iii) How many workers are getting the minimum wages?

ANSWER:

The frequency table for the number of accidents per day for a period of 30 days is given below:

Wage (in Rs)Tally MarksFrequency
150|||3
200Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics5
250||||4
300||2
350|1

(i) The range of wages (in Rs) is 350 − 150 i.e. 200.
(ii) From the frequency table, we can see that the number of workers earning Rs 350 is 1.
(iii) Here, the minimum wage is 150. Hence, the number of workers earning the minimum wage is 3.

 


Question 10:

Construct a frequency distribution table for the following marks obtained by 25 students in a history test in class VIII of a school:
  9, 17, 12, 20, 9, 18, 25, 17, 19, 9, 12, 9, 12, 18, 17, 19, 20, 25, 9, 12, 17, 19, 19, 20, 9
  (i) What is the range of marks?
  (ii) What is the highest mark?
  (iii) Which mark is occurring more frequently?

ANSWER:

The frequency distribution table is given below:
  

AgeTally marksFrequency
9Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics |6
12 ||||4
17||||4
18||2
19||||4
20|||3
25||2

(i) The range of marks is 25 − 9, i.e. 16.
(ii) The highest mark is 25.
(iii) The mark that occurs most frequently is 9. It occurs 6 times.

The document Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions | RD Sharma Solutions for Class 8 Mathematics is a part of the Class 8 Course RD Sharma Solutions for Class 8 Mathematics.
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FAQs on Chapter 23 - Data Handling-I (Part - 1), Class 8, Maths RD Sharma Solutions - RD Sharma Solutions for Class 8 Mathematics

1. What is the importance of data handling in mathematics?
Ans. Data handling is a crucial aspect of mathematics as it helps in organizing, analyzing, and interpreting the data. It allows us to draw meaningful conclusions, make predictions, and solve real-life problems. Data handling skills are essential in various fields such as statistics, finance, research, and decision-making.
2. What are the different types of data representation methods?
Ans. There are several methods to represent data, including: - Tabular Form: Data can be organized in rows and columns, making it easier to compare and analyze. - Bar Graph: It uses rectangular bars of varying lengths to represent data categories and their corresponding values. - Line Graph: It uses lines to represent data points, showing the relationship between two variables over time. - Pie Chart: It uses sectors of a circle to represent different categories, showing the proportion or percentage of each category. - Histogram: It is used to represent the distribution of continuous data by dividing it into intervals or bins and showing the frequency of each interval.
3. How can I collect data for a statistical analysis?
Ans. To collect data for statistical analysis, you can follow these steps: 1. Determine the objective: Clearly define what you want to analyze or study. 2. Identify the population/sample: Decide on the group or individuals from whom you will collect data. 3. Choose the data collection method: Select the appropriate method such as surveys, observations, experiments, or existing records. 4. Design the data collection tool: Prepare the questionnaire, checklist, or any other tool needed for data collection. 5. Collect the data: Administer the survey, conduct observations, or perform experiments to gather the required data. 6. Organize and analyze the data: Arrange the collected data in a suitable format and use statistical techniques to analyze it. 7. Draw conclusions: Interpret the analyzed data and draw meaningful conclusions based on the results.
4. What is the difference between qualitative and quantitative data?
Ans. Qualitative data refers to non-numerical data that describes qualities or characteristics. It is subjective and often obtained through observations, interviews, or open-ended questions. Examples of qualitative data include colors, textures, opinions, or preferences. On the other hand, quantitative data is numerical data that can be measured or counted. It is objective and obtained through methods such as surveys, experiments, or measurements. Examples of quantitative data include heights, weights, test scores, or time taken to complete a task.
5. How can I interpret data from a bar graph?
Ans. To interpret data from a bar graph, follow these steps: 1. Understand the variables: Identify the variables represented on the x-axis (horizontal) and y-axis (vertical) of the bar graph. 2. Compare the bar lengths: Look at the heights of the bars and compare them to determine the quantity or value of each category. 3. Read the labels: Read the labels on the axes and bars to understand the categories being represented. 4. Analyze patterns: Look for any patterns or trends in the bar lengths. For example, if one bar is significantly taller than the others, it indicates a higher value or quantity for that category. 5. Draw conclusions: Use the information obtained from the bar graph to draw conclusions or make comparisons between the different categories.
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