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Random Sampling: Key to Reducing Bias and Increasing Accuracy
Key Points Random sampling is a random means of gathering data points from all groups. It eliminates bias within your data sets by using randomness to gather points. True random sampling gives a ...
Systematic random sampling controls the distribution of the sample by spreading it throughout the sampling frame or stratum at equal intervals, thus providing implicit stratification.
Stratified Sampling with Control Sorting The next sample design for the customer satisfaction survey uses stratification by State. The sampling frame is also sorted by Type and Usage before sample ...
The stratified random sample is always at least as accurate on the average as the random sample and its relative efficiency is a monotone increasing function of the size of the sample. No general ...
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