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If v is the variance and σ is the standard deviation, then
  • a)
    v2 = σ
  • b)
    v = σ2
  • c)
    v = 1/σ
  • d)
    v = 1/σ2
Correct answer is option 'B'. Can you explain this answer?
Most Upvoted Answer
If v is the variance and σ is the standard deviation, thena)v2 =...
Explanation:

Relationship between Variance and Standard Deviation
- The variance (v) is a measure of the dispersion or spread of a set of data points.
- The standard deviation (σ) is the square root of the variance and provides a more intuitive understanding of the spread of data.

Mathematical Relationship
- The formula to calculate the standard deviation is:
σ = sqrt(v)
- Squaring both sides of the above equation gives:
σ^2 = v

Conclusion
- Therefore, the correct relationship between the variance (v) and the standard deviation (σ) is:
v = σ^2
- Hence, option 'b' is the correct answer to the given question.
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If v is the variance and σ is the standard deviation, thena)v2 = σb)v = σ2c)v = 1/σd)v = 1/σ2Correct answer is option 'B'. Can you explain this answer?
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