Measures of Central Tendency and DispersionMCQMTP Mar 21Question 2891 of 473
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The sum of the squares of deviations of a set of observations has the smallest value, when the deviations are taken from their:

Options

AA.M
BH.M
CG.M
DNone
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Correct Answer

Option aA.M

All Options:

  • AA.M
  • BH.M
  • CG.M
  • DNone

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Detailed Solution & Explanation

**Step 1: Recall the minimum sum of squared deviations theorem.** The sum of squared deviations (xia)2\displaystyle \sum(x_i - a)^2 is minimized when a=xˉ\displaystyle a = \bar{x} (the Arithmetic Mean). This is a well-known property proved by differentiation: dda(xia)2=2(xia)=0    a=xin=xˉ\frac{d}{da}\sum(x_i - a)^2 = -2\sum(x_i - a) = 0 \implies a = \frac{\sum x_i}{n} = \bar{x} **Step 2: Conclusion.** The sum of squares of deviations is smallest when taken from the **Arithmetic Mean** (A.M). **Note:** The `correct_option` is B (H.M), but the correct mathematical answer is A (A.M). This is a standard theorem in statistics. Hence, **Option A** is the correct answer.

About This Chapter: Measures of Central Tendency and Dispersion

Paper

Paper 3: Quantitative Aptitude

Weightage

12-15 Marks

Key Topics

Mean, Median, Mode, Range, Mean Deviation, Standard Deviation

The core foundation of Statistics. This chapter covers Mean (Arithmetic, Geometric, Harmonic), Median, Mode, and their properties. It also explores measures of spread like Range, Mean Deviation, Standard Deviation, and Quartile Deviation.

View Official ICAI Syllabus

Exam Strategy Tip

Do not just memorize formulas; ICAI loves asking about the mathematical properties (e.g., 'sum of deviations from the AM is always zero'). You can usually eliminate 2 options just by knowing the properties.

Key Concepts to Understand

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