If covariance of X and Y is 12.3. Variance of X is 16.4 and variance of Y is 13.8, then r will be
$$\left[ {{\bf{Hint:}}{\text{r}} = \frac{{{\text{Covariance x, y}}}}{{\sqrt {\left( {{\text{Variance of X}}} \right) \times \left( {{\text{Variance of Y}}} \right)} }}} \right]$$

In statistical analysis, the burden of proof lies traditionally with

Business system consists

From the following statements choose the correct statements.
Statement I A statistic is a characteristic of a population.
Statement II The standard error of mean is the standard deviation of the sampling distribution.
Statement III The standard error of mean decreases in direct proportion to sample size.

. . . . . . . . processing is designed to process more than one type of transactions to bring out the specific business results in one or more business functions.