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Random Sampling: Key to Reducing Bias and Increasing Accuracy

Random sampling is a random means of gathering data points from all groups. It eliminates bias within your data sets by using ...
Simon Fraser University

Stratified Sampling

Suppose that the sample of students described in the previous section was actually selected using stratified random sampling. In stratified sampling, the study population is divided into ...
Simon Fraser University

Example 61.1: Stratified Cluster Sample Design

Consider the example in the section "Stratified Sampling". The study population is a junior high school with a total of 4,000 students in grades 7, 8, and 9. Researchers want to know how much these ...
JSTOR Daily

Covariance of Sample Moments for Simple Random Sampling with Replacement of a Finite Population

Mathematical Proceedings of the Royal Irish Academy, Vol. 99A, No. 2 (Dec., 1999), pp. 171-177 (7 pages) In this paper we derive the exact covariance of some sample moments for 'simple random sampling ...