Within statistics, we use weighting (balancing) to correct disproportional sample sizes and adjust the collected data to represent the population from which the sample was drawn. For example, we state that the proportion of Male in our sample amounts to 65%, while the proportion of Males in this particular population amounts to 55%. Like this, our sample is not representative, i.e. the frequency distribution of our sample does not match that of the population and estimates for that group may be biased.

OfficeReports can use weights for all cases to adjust this distortion within a sample in all table and chart calculations. If weights are not imported with the dataset as a numeric variable, OfficeReports can calculate the weight variable using RIM-weighting over multiple dimensions.

Video: Weighting of Data