Which among the following statements is INCORRECT?a)Coefficient of cor...
No, standard deviation is always positive or 0. When you square deviations from the mean, they become positive or zero. Their sum is still positive or zero and the quotient after dividing the sum by n – 1 stays positive or zero. This final quantity is the variance.
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Which among the following statements is INCORRECT?a)Coefficient of cor...
Incorrect Statement: Standard deviation can be negative.
Explanation:
Standard deviation is a measure of dispersion of a set of data from its mean. It tells us how much the data deviates from the mean. Standard deviation cannot be negative because it is the square root of the sum of the squares of the deviations from the mean, divided by the number of observations.
Mathematically, the formula for calculating standard deviation is:
σ = √ [Σ(xi - x̄)² / N]
where,
σ = standard deviation,
xi = individual observation,
x̄ = mean of the observations,
N = total number of observations.
The numerator in the above formula is always a positive value, since the square of any number is always positive. Hence, the square root of the numerator is also always positive. Therefore, the standard deviation is always a positive value.
Conclusion:
Hence, the statement "Standard deviation can be negative" is incorrect. It is important to have a clear understanding of the concepts of measures of central tendency and measures of dispersion in statistics to avoid confusion and incorrect interpretations of data.
Which among the following statements is INCORRECT?a)Coefficient of cor...
C option is correct.because as we calculate standard deviations we use √€x/n - mean square . and square of no .can not be negative as mean do not contain negative value .
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