A genetic test examines the genetic information contained inside a person's cells, called DNA, to determine if that person has or will develop a certain disease or could pass a disease to his or her offspring.
Variance is non-negative because the squares are positive or zero. The variance of a constant random variable is zero, and if the variance of a variable in a data set is 0, then all the entries have the same value. Variance is invariant with respect to changes in a location parameter.That is, if a constant is added to all values of the variable, the variance is unchanged.ere Cov(â, â) is the covariance, which is zero for independent random variables (if it exists). The formula states that the variance of a sum is equal to the sum of all elements in the covariance matrix of the components.
Correct, Standard Deviation is a measure of variance from the mean. One SD on either side of the mean will include about 60% of the values in the distribution of your sample. Three SD will include about 95% of the values in your distribution.The smaller the SD, the narrower your bell curve distribution will be.hat's exactly what it means. Standard Deviation and Variance is a measure of how far your set of data is away from the mean. The higher the variance or standard deviation the more larger the variance is in the data, a standard deviation of 0 means that there is NO change at all in the data. marvin0258 Â· 8 years ago.