n1 Sd © The Variance is the square of the standard deviation, however, the funda

Question

n1 Sd © The Variance is the square of the standard deviation, however, the fundamental difference between the two parameters is: F) The variance is only associated with relationships between two variables and the standard deviation is not G) The variance can be used to determine the extent of error in ANOVA analysis while the standard deviation calculates the standard error of the coefficient of correlation in regression analysis H) The variance is directly related to the median of data while the standard deviation is directly related to the mean of data I) None of the above

Explanation / Answer

I) NONE Of the above

Variance is a measure of spread of distribution about its mean. Variance measures the dispersion in squared units of the data. The less value of variance implies that mean is reliable.

Standard Deviation is also a measure of spread of distribution about its mean. Standard Deviation measures the dispersion in original units of the data. The less value of Standard Deviation implies that mean is reliable.

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