Question:medium

The average of squared deviations from mean is called:

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Variance is measured in squared units. Standard deviation is the positive square root of variance: \[ \sigma=\sqrt{\sigma^2}. \]
  • Mean Deviation
  • Variance
  • Standard Deviation
  • Coefficient of Variation
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The Correct Option is B

Solution and Explanation


Step 1:
Determine the quantity described in the question. A deviation from the mean is \[ x_i-\bar{x}. \] Its square is \[ (x_i-\bar{x})^2. \] Taking the average of all such squared deviations gives \[ \frac{1}{n} \sum_{i=1}^{n} (x_i-\bar{x})^2. \]

Step 2:
Identify the statistical term. The above expression is exactly the definition of variance. Conclusion: \[ {\text{Variance}} \] Hence, the correct answer is Option (B).
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