9 min read
This study guide covers inference for quantitative data, focusing on making claims about population means. It explains confidence intervals for estimating means, significance tests for testing claims about means (using t-tests when the population standard deviation is unknown), and two-sample inference for comparing two means. The guide emphasizes checking conditions before performing calculations, and understanding Type I and Type II errors. It also includes practice questions and scoring guidelines.
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Question 1 of 12
A researcher takes a sample. What is the primary purpose of ensuring that the sample is randomly selected? 🤔
To increase the sample size
To reduce bias in the sample
To ensure the sample is normally distributed
To make calculations easier