Class 11 Economics - RAJASTHAN
Collection of Data
The chapter 'Collection of Data' in Class 11 Economics forms the foundation of statistical analysis, teaching students how to systematically gather information for economic studies. It covers the primary and secondary sources of data, the distinction between a census and a sample survey, and the various methods of sampling such as random and non-random sampling. Understanding these concepts is crucial for RBSE board exams as it tests both theoretical knowledge and practical application regarding how reliable economic data is obtained, processed, and utilized in decision-making and policy formulation.
Start Learning FreeKey Concepts
Primary Data
Data collected for the first time by the investigator himself for a specific purpose, making it original in character.
Secondary Data
Data that has already been collected, processed, and published by someone else for some other purpose.
Census Method
A method of statistical enquiry where data is collected from each and every unit of the population or universe.
Sample Survey
A method of enquiry where only a select group of representatives (sample) is studied to draw conclusions about the entire population.
Random Sampling
A sampling technique where every unit of the population has an equal and independent chance of being selected.
Important Formulas
Board Exam Info
In the Rajasthan (RBSE) Class 11 Economics board-pattern exams, this chapter typically carries around 6 to 8 marks. Questions frequently include short-answer distinctions between primary and secondary data, advantages and disadvantages of census versus sample surveys, and brief explanations of various sampling methods.
Frequently Asked Questions
What is the main difference between primary and secondary data?
Primary data is original and collected firsthand by the investigator, whereas secondary data is already collected and published by someone else.
When should the census method be preferred over the sample method?
The census method is preferred when the population size is small, high accuracy is required, and units possess diverse characteristics.
Why is sampling generally preferred in large-scale surveys?
Sampling saves time, money, and labor while still providing reasonably accurate and reliable estimates about a large population.
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