Class 2 Exam > Class 2 Notes > Worksheets with solutions for Class 2 > Worksheet: Data Handling
Class 2 Maths Data Handling - CBSE Worksheets
Q1: The following chart shows the number of birthdays of the students of Class 2A in each month.
Count the smilies and answer the following questions.
(i) In which months do 6 children have their birthday?
(ii) Which month has the largest number of birthdays?
(iii) Which month has the least number of birthdays and how many?
(iv) How many birthdays does the month of April have?
Q2: Fill in the blanks.
(i) Which sport is liked by exactly 4 students? ______.
(ii) The sport liked by the largest number is ______.
(iii) The sport liked by the smallest number is ______.
(iv) How many students like football? ______.
Q3: Look at above picture. This shows the sports liked by 15 students. Count the number of each sport and colour the same number of blocks for each sport.
Q4: Shoes size of various students are given below:
Sort out the given data according to size and prepare a block chart for it.
Q5: Arpita wanted to know the mode of transport of students commuting to the school. She prepared a table as shown below:
Prepare a block chart for the above data. Now, answer the following questions.
(i) Which mode of transport is least used by the students?
(ii) Which mode of transport do most of the students like?
(iii) How many students come to school by bikes?
You can access the solutions to this worksheet here.
The document Class 2 Maths Data Handling - CBSE Worksheets is a part of the Class 2 Course Worksheets with solutions for Class 2.
All you need of Class 2 at this link: Class 2
FAQs on Class 2 Maths Data Handling - CBSE Worksheets
| 1. What is data handling and why is it important in statistics? |  |
Ans.Data handling refers to the process of collecting, organizing, analyzing, and interpreting data. It is important in statistics because it allows us to make sense of complex data sets, draw conclusions, and make informed decisions based on evidence.
| 2. What are the different types of data used in data handling? | |
Ans.The different types of data used in data handling include qualitative data (descriptive data that can be observed but not measured) and quantitative data (numerical data that can be measured). Quantitative data can be further divided into discrete (countable) and continuous (measurable) data.
| 3. How can data be collected and recorded effectively? | |
Ans.Data can be collected and recorded effectively through various methods such as surveys, experiments, observations, and existing data sources. It is essential to ensure that the data collection methods are reliable and valid to maintain the accuracy of the results.
| 4. What tools and techniques are commonly used for data analysis? | |
Ans.Common tools and techniques for data analysis include spreadsheets (like Microsoft Excel), statistical software (like SPSS or R), and visualization tools (like Tableau). Techniques may involve descriptive statistics, inferential statistics, and graphical representation of data.
| 5. How can data handling skills benefit students in their academic and professional careers? | |
Ans.Data handling skills can benefit students by enhancing their analytical thinking and problem-solving abilities. In their academic careers, these skills are crucial for conducting research and interpreting results, while in professional settings, they are essential for making data-driven decisions and improving business outcomes.
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Nov 21, 2024 Last updated |
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