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Sampling Methods and Sources of Bias
45 min video•september 25, 2019
Jerry Kosoff
We review the purpose of surveys/sampling, meet three "good" random sampling methods (simple random, cluster, and stratified samples), and discuss possible sources of bias in sampling/surveys (non-representative samples, response bias, and nonresponse)
Browse By Unit
👆Unit 1: Exploring One-Variable Data
✌️Unit 2: Exploring Two-Variable Data
🔎Unit 3: Collecting Data
🎲Unit 4: Probability, Random Variables, and Probability Distributions
📊Unit 5: Sampling Distributions
⚖️Unit 6: Inference for Categorical Data: Proportions
😼Unit 7: Inference for Qualitative Data: Means
✳️Unit 8: Inference for Categorical Data: Chi-Square
📈Unit 9: Inference for Quantitative Data: Slopes