1. Identifying a Random Sample: Instead of conducting a census, which is difficult as you have to survey each individual of the population, you can survey a sample of the population and make a generalization of the population from the sample.
2. Generate a Representative Sample: Since we don't know what the whole population looks like, we can't handpick the people for the sample, so we have three different unbiased sampling methods: simple random sample, systematic random sample, and stratified random sample.
3. Understanding Biased Samples: Often students think that biased sampling methods are obvious and easy to avoid. Just because you've selected a part of the population that seems like a good sample population, like the basketball team, it doesn't mean that your sample is unbiased.
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