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Recap: Statistical Inference with infer

Explore tactile and virtual sampling exercises to estimate unknown population proportions and parameters. Understand how sample size affects the precision of estimates through the central limit theorem. Learn to quantify sampling variation and the concept of bootstrap resampling for single samples.

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Sampling scenarios

We performed both tactile and virtual sampling exercises to infer about an unknown proportion. We also presented a case study of sampling in real life with polls. In each case, we used the sample proportion p^\hat{p} to estimate the population proportion pp. However, we aren’t just limited to scenarios related to proportions. In other words, we can use sampling to estimate other ...