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The sum of the squares of deviation of 10 observations from their mean 50 is 250,then coefficient of variation is

Correct answer is '10'. Can you explain this answer?
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Understanding the Problem
In this problem, we have 10 observations with a mean of 50. The sum of the squares of deviations from the mean is given as 250. We need to find the coefficient of variation.
Key Concepts
- Deviation from Mean: The difference between each observation and the mean.
- Sum of Squares of Deviations: This is calculated as \( \sum (x_i - \bar{x})^2 \).
- Variance: It is the average of the sum of squares of deviations, calculated as \( \text{Variance} = \frac{\text{Sum of Squares}}{N} \).
- Standard Deviation: It is the square root of variance.
- Coefficient of Variation (CV): It is the ratio of standard deviation to the mean expressed as a percentage, calculated as \( CV = \left( \frac{\sigma}{\mu} \right) \times 100 \).
Calculating Variance and Standard Deviation
- Given:
- Number of observations (N) = 10
- Mean (\(\mu\)) = 50
- Sum of squares of deviations = 250
- Variance Calculation:
- \( \text{Variance} = \frac{250}{10} = 25 \)
- Standard Deviation Calculation:
- \( \sigma = \sqrt{25} = 5 \)
Calculating Coefficient of Variation
- Coefficient of Variation (CV):
- \( CV = \left( \frac{\sigma}{\mu} \right) \times 100 \)
- \( CV = \left( \frac{5}{50} \right) \times 100 = 10\% \)
Conclusion
The coefficient of variation for the given observations is 10%. This indicates a moderate level of dispersion relative to the mean.
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The sum of the squares of deviation of 10 observations from their mean 50 is 250,then coefficient of variation isCorrect answer is '10'. Can you explain this answer?
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