Very confused, please help

A conoept often used in statistics is called weighting. One important type ot weight are called frequency weights, which are used to make datasets smaller and easier to handle. Basically, the sample is compressed by throwing away duplicate observations, and only keeping unique ones. A frequency weight is a number, m,- which represents the nlunber of \"true\" observations each unique observation represents. For example, if EH; = 10, then this would mean that in the I\"true\" sample, there were 9 other observations exactly like i = 2. Suppose we have a quantitative variable X,, in our compressed sample, with associated frequency weights mg. Consider the expression: What is the relationship of )3,\" to )1\" in the original sample [before mmpression]? To 51' in the mmpressed sample? Explain