Data weighting is typically applied in several steps:
Identify the weights: Determine the appropriate weights based on known population characteristics and the sample distribution. Calculate the weights: Use statistical techniques to calculate the weights. This often involves inverse probability weighting or post-stratification. Apply the weights: Apply the calculated weights to the data points during analysis to adjust for biases.
