|Bus41000 is a course about statistical and probability tools needed for business applications. The course provides powerful analytical tools that are widely used in data analysis. Students will learn how to use statistics and probability in a variety of complex real world situations. The course is data-driven with examples in healthcare, marketing, finance and sports. Topics covered are: (i) descriptive statistics and data visualisation; (ii) probability and Bayes rule; (iii) statistical modeling and inference: confidence intervals, hypothesis tests; (iv) simple linear and multiple regression; (v) time series analysis.
The class will use Excel but be primarily based on R and Rstudio.
|The textbook will be Statistical Techniques in Business and Economics (15th edition), by Lind, Marchal and Wathen.
Lecture notes will be available on the Course Website.
|Homework, midterm, and a final project.|
|None. Although a review of basic Statistical concepts is encouraged.
Description and/or course criteria last updated: 08/07/2013
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