Class 8 Exam  >  Class 8 Notes  >  Mathematics (Maths) Class 8  >  MCQ (with Solutions): Data Handling

MCQ Questions for Class 8 Maths - Data Handling

Q1: The range of the data: 6, 14, 20, 16, 6, 5, 4, 18, 25, 15 and 5 is
(i) 
4
(ii) 
21
(iii) 
25
(iv) 
20

Q2: The class-mark of the class 20-30 is:
(i) 
20
(ii) 
30
(iii) 
25

(iv) 10

Q3: The difference between the highest and the lowest values of observations in a data is called:
(i) 
mean of the data
(ii) 
range of the data
(iii) 
total frequency of data
(iv)
sum of the observations.

Q4: In the interval 35 - 45, 45 is called
(i) 
upper limit
(ii)
lower limit
(iii)
range
(iv) 
frequency.

Q5: The number of times a particular observation occurs in a given data in called:
(i) 
its frequency
(ii) 
its range
(iii) 
its mean
(iv)
none of there.

Q6: In history which of the following is represented by heights of the  rectangles?
(i) 
frequency
(ii) 
class intervals
(iii) clan size
(iv) 
range.

Q7: Tally marks are used to finds which of the following:
(i)
frequency
(ii) 
lower limits
(iii) 
upper limits
(iv)
clan marks.

Q8:  Which of the following is the probability of an impossible event?
(i)
0
(ii)
1
(iii) 
between 0 and 1
(iv) 
none of these.

Q9: Which of the following is the probability of a sure event?
(i)
0
(ii)
1
(iii) 
between 0 and 1
(iv) 
none of these

Q10: A coin is tossed. Which of the following is the probability of getting head or tail?
(i) 
0
(ii) 
1
(iii) 1/2
(iv) 
none of these

ANSWERS
1. (ii) 

2. (iii) 

3. (ii) 

4. (i) 

5. (i) 

6. (i) 

7. (i) 

8. (i) 

9. (ii) 

10. (ii)

The document MCQ Questions for Class 8 Maths - Data Handling is a part of the Class 8 Course Mathematics (Maths) Class 8.
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FAQs on MCQ Questions for Class 8 Maths - Data Handling

1. What is data handling?
Ans. Data handling refers to the process of managing and organizing data in a systematic manner. It involves collecting, storing, analyzing, and presenting data to derive meaningful insights or make informed decisions.
2. Why is data handling important?
Ans. Data handling is important because it allows us to gain insights and knowledge from data. By organizing and analyzing data effectively, we can identify patterns, trends, and correlations, which can help in making informed decisions, improving efficiency, and solving problems.
3. What are the different stages of data handling?
Ans. The different stages of data handling include data collection, data entry, data cleaning, data analysis, and data visualization. Data collection involves gathering information from various sources, while data entry involves inputting the data into a system. Data cleaning refers to the process of removing errors or inconsistencies from the data. Data analysis involves examining and interpreting the data, and data visualization is the representation of data in visual forms such as charts or graphs.
4. What are some common data handling techniques?
Ans. Some common data handling techniques include data sorting, filtering, and aggregation. Data sorting involves arranging the data in a specific order, such as alphabetically or numerically. Filtering allows us to extract specific information or subsets of data based on certain criteria. Aggregation involves combining and summarizing data to obtain meaningful insights or metrics.
5. What are some challenges in data handling?
Ans. Some challenges in data handling include data quality issues, such as missing or inaccurate data, data security and privacy concerns, and the sheer volume of data being generated. Additionally, dealing with unstructured data or data from multiple sources can also pose challenges in terms of integration and analysis.
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