CBSE 11 Statistics for Economics | 2. Collection of Data by Pavan | Learn Smarter
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2. Collection of Data

The chapter elaborates on the collection of data, highlighting the significance of data collection methods, distinguishing between primary and secondary data, and the techniques of sampling. It delves into the different modes of data collection, including surveys, and emphasizes the role of census and sample surveys in accumulating statistical data for various analyses in economics.

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Sections

  • 2

    Collection Of Data

    This section covers the sources and modes of data collection, distinguishing between primary and secondary data.

  • 2.1

    Introduction

    This section introduces the concept of data collection in economics, emphasizing its significance and the distinctions between primary and secondary data sources.

  • 2.2

    What Are The Sources Of Data?

    This section discusses the various sources of statistical data, focusing on primary and secondary data, and introduces methods of data collection like surveys.

  • 2.3

    How Do We Collect The Data?

    This section discusses the various sources of statistical data, focusing on primary and secondary data, and introduces methods of data collection like surveys.

  • 2.4

    Mode Of Data Collection

    This section discusses the importance of data collection in economics, differentiating between primary and secondary data sources and various methodologies for data collection.

  • 2.5

    Pilot Survey

    This section introduces the concept of survey methodology, explaining the importance and techniques of pilot surveys in data collection.

  • 2.6

    Census And Sample Surveys

    This section covers the differences between Census and Sample Surveys, the process of data collection, and key concepts related to primary data and secondary data.

  • 2.6.1

    Census Or Complete Enumeration

    This section explains the concept of Census, differentiating it from Sample Surveys and describing the methods and significance of data collection.

  • 2.6.2

    Population And Sample

    The section explores the concepts of population and sample in data collection, differentiating between complete enumeration and representative samples.

  • 2.6.3

    Random Sampling

    Random sampling is a method where individual units are selected at random from a population, ensuring every member has an equal chance of being chosen.

  • 2.6.4

    Non-Random Sampling

    This section provides an overview of non-random sampling, including its definition, methods, and when to use it effectively.

  • 2.7

    Sampling And Non-Sampling Errors

    This section covers the types and sources of data collection as well as the errors associated with sampling.

  • 2.7.1

    Sampling Errors

    This section explains the significance of sampling errors in statistical data collection, detailing types of errors and their implications.

  • 2.7.2

    Non-Sampling Errors

    This section explores non-sampling errors in data collection, their significance, and how they differ from sampling errors.

  • 2.8

    Census Of India And Nsso

    This section highlights the roles of the Census of India and the National Sample Survey Organisation (NSSO) in collecting and processing statistical data crucial for economic and social analysis.

  • 2.9

    Conclusion

    The conclusion emphasizes the importance of data collection and its role in understanding various economic and social issues.

  • 2.10

    Exercises

    This section engages students with exercises that deepen Their understanding of data collection techniques.

Class Notes

Memorization

What we have learnt

  • Data is vital for providing...
  • Understanding primary and s...
  • Surveys can be conducted th...

Final Test

Revision Tests