Course Content
Theme 1 – Numeration
Theme 2 – Roman-Numerals
Theme 3 – Addition and Subtraction
Theme 4 – Multiplication
Theme 5 – Division
Theme 6 – Factors and Multiples
Theme 7 – Fractions
Theme 8 – Decimals
Theme 9 – Money
Theme 10 – Time
Theme 11 – Measurements
Theme 12 – Area and Perimeter
Theme 13 – Introduction of Geometry
Theme 14 – Polygons
Theme 15 – Data Interpretation
Mathematics – 4
About Lesson

 Theme 15: Data Interpretation in Class 4 Math


Data interpretation involves understanding and making sense of information presented in various forms, such as tables, charts, and graphs. In Class 4, students are introduced to basic concepts of data interpretation, fostering skills in analyzing and drawing conclusions from data.

  1. Introduction to Data:

   –  Understanding Data:  Recognizing that data represents information or values.

   –  Types of Data:  Introducing qualitative and quantitative data.

  1. Data Representation:

   –  Tables:  Understanding how data can be organized and presented in tables.

   –  Bar Graphs:  Introducing the use of bar graphs to represent data visually.

  1. Reading and Analyzing Tables:

   –  Data Entries:  Learning to read and interpret information presented in tables.

   –  Organizing Information:  Understanding how data is organized in rows and columns.

  1. Reading and Analyzing Bar Graphs:

   –  Bar Heights:  Understanding how the height of bars in a graph represents quantities.

   –  Comparisons:  Making comparisons between different categories using a bar graph.

  1. Data Comparison:

   –  Comparing Values:  Learning to compare values within a table or a graph.

   –  Identifying Patterns:  Recognizing patterns in data sets.

  1. Drawing Conclusions:

   –  Making Inferences:  Drawing logical conclusions based on the presented data.

   –  Predictions:  Making predictions based on trends observed in the data.

  1. Creating Simple Graphs:

   –  Creating Bar Graphs:  Engaging in activities to create simple bar graphs.

   –  Labeling Axes:  Understanding the importance of labeling axes in a graph.

  1. Data Analysis Through Questions:

   –  Question and Answer Sessions:  Analyzing data by answering questions related to tables and graphs.

   –  Critical Thinking:  Developing critical thinking skills in interpreting data.

  1. Real-Life Scenarios:

   –  Everyday Data Interpretation:  Applying data interpretation skills to real-life situations.

   –  Practical Examples:  Using data interpretation in scenarios like weather charts or sports statistics.

  1. Drawing Simple Conclusions:

   –  Expressing Findings:  Learning to express findings and conclusions based on data.

   –  Communication Skills:  Developing skills in communicating data-based insights.


The introduction to data interpretation in Class 4 equips students with basic skills in reading and analyzing information presented in tables and graphs. Through hands-on activities and practical examples, students develop the ability to draw conclusions and make informed decisions based on data, laying the groundwork for more advanced statistical analysis in later grades.