Collecting Data
Study Guide Overview
This AP Statistics study guide covers data collection for the exam. It reviews the importance of data collection, planning a study (including population and sample), and types of studies (observational and experimental). It details random sampling methods (SRS, stratified, cluster, systematic, census), bias in data collection, and experimental design (components, key elements, types). Finally, it provides exam focus (high-priority topics, question types, last-minute tips) and practice questions covering these concepts.
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Question 1 of 11
Why is random sampling important in data collection? 🤔
It guarantees that our sample is exactly the same as the population
It eliminates all forms of bias in our data
It allows us to generalize our findings to the larger population
It makes the data easier to analyze