STATS 208 Data Analysis for Commerce

Below description edited in year: 2018

Points: 15

Prereqs: 15 points from STATS 101, 102, 108, 191

Restrictions: You may take only one of STATS 201, 207 and STATS 208

Credit: Final Exam = 60%; Test = 20%; Assignment = 20%
or
Final Exam = 70%; Test = 10%; Assignment = 20%.
Students must obtain at least 50% overall and at least 45% in the final exam to pass.

Textbooks: Wild & Seber "Chance Encounters: A First Course in Data Analysis and Inference". Also consult the Mathematics and Statistics Student Resource Centre.

Website: STATS 208 website

The courses STATS 201/8 teach computer based data analysis. They are particularly useful for Business and Economics, and the Biological, Medical and Social Sciences. They are useful for anyone who will do research, or even just read research papers in any discipline where research makes use of statistical analyses.

Topics studied include: Exploratory Data Analysis, the analysis of linear models including simple linear regression of continuous variables and factor variables extended to one-way and two-way analysis of variance and analysis of co-variance, multiple regression, and model selection. This will be extended to generalised linear modelling (i e. Poisson counts and logistic/ binomial regression) and the analysis of contingency table data, along with the analysis of time series data. Aspects of experimental design will be discussed throughout.

Disclaimer:
Although every reasonable effort is made to ensure accuracy, this information for the course year (2024) is provided as a general guide only for students and is subject to alteration. All students enrolling at the University of Auckland must consult its official document, the University of Auckland Calendar, to ensure that they are aware of and comply with all regulations, requirements and policies.