MATH 10041 Study Guide - Midterm Guide: Simple Random Sample, Stratified Sampling, Confounding
1 Mar 2019
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Learning outcomes math 10041 chapter 1. Understand the difference between frequency and relative frequency; Understand that the population is fixed but sample statistics vary from sample to sample; Understand what bias is and how to avoid it in data collection; Understand the basic vocabulary of sampling: population, sample, representative sample, bias. Understand the difference between a controlled experiment and an observational study; Understand the difference between association and causation and under what circumstances causation can be inferred; Understand the vocabulary of designing studies: treatment variable, outcome(response) variable, treatment group, control group, anecdote, placebo, association, causation, confounding variable, blinding. Understand the difference between a variable as studied in algebra vs one as studied in statistics; Understand the benefit of having data in stacked format; Understand the difference between categorical and numerical data; Understand the method of coding categorical variables and why we do it. Explain in their own words what data and data analysis are.
