What are sampling methods? In a statistical study, sampling methods refer to how we select members from the population to be in the study. If a sample isn't randomly selected, it will …

Learn statistics and probability—everything you'd want to know about descriptive and inferential statistics.

Learn a powerful collection of methods for working with data! AP®️ Statistics is all about collecting, displaying, summarizing, interpreting, and making inferences from data.

In a practical ("real-world") setting, the population under study is much larger, and the gathering of a sample takes resources (money, effort, ect). A larger sample size means more inferential …

A sampling distribution shows every possible result a statistic can take in every possible sample from a population and how often each result happens - and can help us use samples to make …

Practice identifying which sampling method was used in statistical studies, and why it might make sense to use one sampling method over another.

Practice identifying which sampling method was used in statistical studies, and why it might make sense to use one sampling method over another.

There's one about interest in out-of-state cars crossing a multi-lane toll bridge, and they sample every tenth car in one lane via a camera. The correct choice was population = all the cars in …

In short, if the sampling distribution is approximately normal, then we can calculate how likely it is for a sample proportion to deviate from the population proportion by a certain number of …

If we poll 100 people, and 56% of them support a candidate, we can use what we know about sampling distributions and margin of error to build a confidence interval to estimate the true …