Data Collection and Sampling Fundamentals
The Power of Data and Need for Sampling; Understanding Data Errors: Sampling vs. Non-Sampling; Sources of Non-Sampling Errors: Bias, Measurement, Processing; Exploring Probability Sampling Methods; Non-Probability Sampling and Optimal Technique Selection
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