Statistics for Economics Class 11 Economics CBSE Notes - 2025-26

• Class 11 Statistics for Economics book contains  9 chapters.

• This chapter covers the essential concepts of statistics, including data collection, representation, and interpretation. 

• Practising the revision notes can help students analyse their level of preparation and understanding of concepts.

The breakdown of the chapters is mentioned below: 

Chapter 1: Introduction

This chapter introduces students to the significance and applications of statistics in economics. It defines statistics, elaborates on its scope, and explains its role in collecting, analyzing, and interpreting data for informed decision-making. Key topics include the distinction between primary and secondary data, methods of data collection, and graphical representations like bar graphs, histograms, and pie charts.

Key Topics:

• Why Economics?

• What is Statistics?

• Functions of Statistics

• Types of Data (Primary and Secondary)

• Data Collection Methods

• Graphical Representation

Chapter 2: Collection of Data

This chapter focuses on the essential step of collecting data for statistical analysis. It explores different sources of data, such as census and sample surveys, and discusses methods like surveys, experiments, and observations. It also covers sampling errors and how pilot surveys refine data collection processes.

Key Topics:

• Sources of Data (Primary and Secondary)

• Methods of Data Collection

• Census vs. Sample Surveys

• Sampling and Non-Sampling Errors

• Census of India and NSSO

Chapter 3: Organisation of Data

Here, students learn to systematically arrange collected data for analysis. The chapter explains data classification (qualitative, quantitative, chronological, and spatial) and tabulation (organizing data in rows and columns). It covers frequency distributions and the creation of bivariate distributions for effective data interpretation.

Key Topics:

• Raw Data and Classification

• Continuous vs. Discrete Variables

• Frequency Distribution

• Bivariate Frequency Distribution

Chapter 4: Presentation of Data

This chapter emphasizes the visual presentation of organized data. Students are introduced to different forms of data presentation: textual, tabular, and diagrammatic. The chapter covers common graphs and charts like bar diagrams, pie charts, and histograms, helping students visualize and interpret data.

Key Topics:

• Textual, Tabular, and Diagrammatic Data Presentation

• Types of Graphs: Bar Diagrams, Histograms, Pie Charts, Frequency Polygons

Chapter 5: Measures of Central Tendency

In this chapter, students explore methods to summarize data using measures that represent the "central" value of a dataset. It covers mean, median, and mode, explaining how to calculate each and when to use them, along with their respective strengths and limitations.

Key Topics:

• Arithmetic Mean, Median, Mode

• Relative Position of Mean, Median, and Mode

Chapter 6: Correlation

This chapter introduces students to the concept of correlation, which measures the relationship between two or more variables. It covers types of correlation (positive, negative, and zero) and methods for calculating correlation coefficients, such as Karl Pearson’s and Spearman’s rank correlation.

Key Topics:

• Types of Relationships: Positive, Negative, Zero

• Techniques to Measure Correlation (Pearson and Spearman)

Chapter 7: Index Numbers

Index numbers are tools used to measure changes in economic variables over time. This chapter explains the construction and interpretation of index numbers, including price indices, quantity indices, and value indices, and introduces methods such as the Laspeyres, Paasche, and Fisher’s Ideal index.

Key Topics:

• What is an Index Number?

• Construction of Index Numbers

• Types of Index Numbers (Price, Quantity, Value)

• Issues in Construction

Chapter 8: Use of Statistical Tools

The final chapter introduces various statistical tools, focusing on their real-world applications. It covers measures of central tendency, dispersion, correlation, regression analysis, and probability distributions to analyze data and test hypotheses.

Key Topics:

• Measures of Central Tendency and Dispersion

• Correlation and Regression Analysis

• Probability Distributions and Hypothesis Testing

Benefits of Vedantu’s CBSE Class 11 Economics (Statistics For Economics) Notes

1. Comprehensive and Structured: Detailed coverage of all topics with clear breakdowns for easy understanding.

2. Simple and Clear Language: Written in an easy-to-understand manner, making complex concepts more approachable.

3. Practical Examples: Real-life examples and step-by-step solutions to help apply theoretical concepts.

4. Visual Aids: Diagrams, charts, and graphs simplify abstract concepts and enhance comprehension.

5. Time-Efficient: Concise summaries and formula sheets for quick revision.

6. Expertly Curated: Notes created by experienced educators, ensuring accuracy and relevance to the CBSE syllabus.

7. Accessible Anytime: Available online, allowing students to study at their convenience.

Conclusion

Vedantu’s CBSE Class 11 Economics (Statistics for Economics) notes offer students a comprehensive, well-structured, and easy-to-understand resource. By breaking down complex topics into simple explanations and supporting them with practical examples, diagrams, and real-world applications, these notes help students build a strong foundation in economics. With expert guidance, time-saving features, and the convenience of online access, Vedantu’s notes ensure that students are well-equipped for exams and beyond.

Students can also visit and refer to other study materials of Economics Indian Economic Development Notes for better exam preparations and to achieve good scores.

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