10.4 Sampling and experimental design
Unit 10 · Statistics and inference
Ideas in this lesson
Sampling proportions
A sample proportion counts successes divided by the sample size; it is an estimate of a population proportion.
Random samples and bias
Random selection supports generalizing to the sampled population; voluntary response and convenience can introduce bias.
Random assignment and causation
Random assignment supports a cause-and-effect comparison by balancing lurking variables across treatment groups.
Replication and design
Use enough independent experimental units; repeated measurements on one unit are not independent replication.
Original MathLab worked examples and fresh practice. Free with an account.