Sampling Theory in CA Foundation Statistics or CA CPT?

Introduction
Sampling theory is a statistical method used to collect data from a subset of the population to make inferences about the entire population. This method is used to study a large population, where collecting data on the entire population would be impossible.

CA Foundation Statistics
CA Foundation Statistics is a subject that provides an understanding of the basic principles of statistics. It covers topics such as measures of central tendency, dispersion, correlation, regression, and index numbers. Sampling theory is an important concept in statistics and is covered under this subject.

CA CPT
CA CPT is the Common Proficiency Test, which is the first level of examination in the Chartered Accountancy course. It covers four subjects, including Fundamentals of Accounting, Mercantile Law, General Economics, and Quantitative Aptitude. Sampling theory is covered under the Quantitative Aptitude section of the CA CPT.

Conclusion
In conclusion, both CA Foundation Statistics and CA CPT cover the concept of sampling theory. In CA Foundation Statistics, it is covered in detail, while in CA CPT, it is a part of the Quantitative Aptitude section. Understanding sampling theory is essential for both CA Foundation and CA CPT students as it is a fundamental concept in statistics that is widely used in various fields.

It was in CA CPT. its not in CA Foundation