Sample Problems on Grouping of Data

Question 1: A die was thrown 25 times and the following scores were obtained:

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

Create a frequency table of the scores.

Solution:

The frequency table of the scores obtained when a die is thrown can be shown as –

Die Tally marks

Scores

(frequency)

1 |||| 4
2 |||| | 6
3 |||| 4
4 ||| 3
5 |||| 4
6 |||| 4

Question 2: Make the bar graph for the data given in the literature example in the beginning. 

Solution:

Let’s make the table for the given data 

Author Number of Occurrences
Kafka 9
Camus 8
Nietzsche 3

Let’s put the names of authors on the x-axis and number of occurrences on the y-axis.

Question 3: Make histogram for the data given below: 

1, 2, 2, 1, 5, 5, 4, 10, 4, 5, 7, 10, 9, 8, 9, 9, 11

Solution:

Let’s assume an interval size of 3 and make a frequency table. 

Groups Frequency
0-3 3
3-6 4
6-9 2
9-12 6

Let’s plot these intervals on graph. 

Question 4: The data given below represents the usage per day in minutes for Spotify for a particular person. 

5, 10, 12, 7, 20, 13, 30, 25, 20, 50, 30, 24, 17, 63, 24, 30, 15, 10, 40, 24, 15, 18, 20, 11. 

Make a frequency table and a histogram for this data. 

Solution:

Before making a histogram, we need to group the data and make a frequency distribution for it. 

Let’s assume the interval size to be 10. 

Interval  Frequency
0-10 2
10-20 8
20-30 7
30-40 3
40-50 1
50-60 1
60-70 1

Question 5: Answer the following questions by observing the given histogram. 

  1. What is the information given by the histogram 
  2. Which group contains the maximum girls. 
  3. How many girls have marks more than 145. 

Solution:

  1. The histogram represents the total marks obtained the girls in the class.
  2. The group 140-150 contains the maximum number of girls.
  3. 9 girls have marks more than 145.

People Also Read:

Grouping of Data

Grouping of Data: Data Handling or Handling of data is not just a mathematical term but is used in everyday life. When there is a requirement to record, gather, and present any type of information or data, data handling is preferably used. Statistics is a word we often hear, is not but another term for data handling. From making a bar chart of favorite candies of different students to representing a large survey done on COVID-19 cases, data handling is used and preferred.

This information in such cases is called Data. Data can be represented in both statistical ways and graphical ways. Graphical ways usually visually appealing are also easier to understand by a common person. There are many ways to represent data graphically: 

  1. Pictograph 
  2. Bar Graph 
  3. Double Bar Graph 

Table of Content

  • What is Data Handling? 
    • Data Handling Definition
  • What is Data Grouping of Grouping of Data? 
  • Grouped Frequency Distribution 
  • Histograms
  • Sample Problems on Grouping of Data
  • Summary – Grouping of Data

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What is Data Handling?

Data Handling is the process of gathering, recording, or presenting information in such a way that is helpful to others in instances like graphs or charts....

What is Data Grouping of Grouping of Data?

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Grouped Frequency Distribution

Sometimes it can happen that, there too many values in a particular range. So, it can be really difficult to make a frequency table for each entity. Instead, we make a frequency table for a range and count the number of entities lying in that range....

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Sample Problems on Grouping of Data

Question 1: A die was thrown 25 times and the following scores were obtained:...

Summary – Grouping of Data

Grouping of data is a statistical technique used to organize and summarize large sets of data into smaller, more manageable groups or intervals. This process involves categorizing raw data into classes or intervals based on their values, with each group representing a range of values. Grouping facilitates easier interpretation and analysis of data by reducing complexity and highlighting important patterns or trends. Common methods of grouping include equal width intervals, equal frequency intervals, and percentile groups. Grouping of data is essential in descriptive statistics for constructing frequency distributions, histograms, and cumulative frequency curves, enabling researchers and analysts to draw meaningful insights and conclusions from the data....

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