Theoretical DistributionsMCQMTP June 24 Series IQuestion 3472 of 230
All Questions

Parameter is a characteristic of:

Select Your Answer (Keyboard: A, B, C, D)
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Correct Answer

✅ Option a — Population

All Options:

  • APopulation
  • BSample
  • CProbability distribution
  • DBoth (a) & (b)

Detailed Solution & Explanation

**Definitions:** - **Parameter**: A numerical measure that describes a characteristic of a **population**. Examples include population mean (\u03bc), population variance (\u03c3\u00b2), population proportion (P). - **Statistic**: A numerical measure that describes a characteristic of a **sample**. Examples include sample mean (xˉ\displaystyle xˉ\displaystyle \bar{x}), sample variance (s\u00b2). **Key Distinction:**
TermRefers toExamples
ParameterPopulation\u03bc, \u03c3\u00b2, P
StatisticSamplexˉ\displaystyle xˉ\displaystyle \bar{x}, s\u00b2, p
A **parameter** is always a fixed (though often unknown) characteristic of the **population**, not of a sample. Hence, **Option A** is the correct answer.

About This Chapter: Theoretical Distributions

Paper

Paper 3: Quantitative Aptitude

Weightage

4-6 Marks

Key Topics

Binomial, Poisson, Normal Distribution

This chapter covers Binomial, Poisson, Normal Distribution and is part of Paper 3: Quantitative Aptitude in the CA Foundation exam.

View Official ICAI Syllabus

Exam Strategy Tip

This topic carries 4-6 Marks weightage. Focus on understanding core concepts rather than memorizing.

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