Question 6 The primary reason for standardizing random variables is to measure variables with different means and standard deviations on a non-standard scale. different means and standard deviations on a single scale. dissimilar means and standard deviations in like terms. similar means and standard deviations on two scales.

Standardizing random variables is like putting on a pair of magical lenses that allow you to see all data on the same playing field! By transforming variables to a common scale—often using z-scores—you can compare and interpret diverse datasets more easily, regardless of their original units, means, or standard deviations. In practice, this is super useful! For example, if you're comparing test scores across different subjects with varying difficulty (and grading standards), standardization helps you understand which students truly excelled relative to their peers. It's a crucial step in any data analysis toolkit!