We will cover the following topics: • Limit theorems and sampling distributions • Point estimation, confidence intervals, and fitting probability distributions • Hypothesis testing • Goodness of fit tests • ANOVA • Linear regression models • Hypothesis testing and parameter estimation in linear models • Model building and variable selection Page 1 of 9 mailto:lcipriano@ivey.uwo.ca mailto:abowes@iv. [...] • Apply and interpret the central limit theorem in the context of developing univariate statistics and confidence intervals • Calculate the sample size required to estimate a population mean and a population proportion given a desired confidence level or margin of error • Conduct and interpret hypothesis tests for a single sample including goodness of fit tests • Conduct and interpret hypothesis t. [...] Help with R: • Dalgaard Chapter 5 (One- and two-sample tests) • Dalgaard Chapter 9 (Power and the computation of sample size) • Crawley, Chapter 8 (Classical Tests) DataCamp tutorials (Optional support activities) • Foundations of Inference in R • Introduction to A/B Testing in R • Inference for Numerical Data in R • Inference for Categorical Data in R Page 4 of 9 4 Oct 4 ANOVA / Hypothesis testin. [...] Help with R: • Dalgaard Chapter 7 (Analysis of variance and the Kruskal- Wallis test) • Crawley, Chapter 11 (Analysis of variance) 5 Oct 11 Introduction to multivariable regression HW5 is due Readings: • Rice, Chapter 14 (Linear Least Squares) • C&H, Chapter 2 (Simple Linear Regression) • C&H, Chapter 3 (Multiple Linear Regression) • Sainani KL. [...] Use of the service is subject to the licensing agreement, currently between The University of Western Ontario and Turnitin.com ( ).
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