Intermediate Statistics (CANCELLED)
Cancellation Notice:
This course has been cancelled for Summer Programme 2012 due to insufficient enrolments. We will endeavour to run it again in a future NZSSN short course programme; if you are interested in such a course, please let us know in the meantime so that we can provide targetted followup when the time comes.
This course has been cancelled for Summer Programme 2012 due to insufficient enrolments. We will endeavour to run it again in a future NZSSN short course programme; if you are interested in such a course, please let us know in the meantime so that we can provide targetted followup when the time comes.
Dates:
February 20, 2012 - February 24, 2012
Instructor:
Dr Wayne Stewart Prerequisites:
It is assumed that students coming into the Intermediate Statistics course have completed Introduction to Statistics or an equivalent stage one statistics course at a university. In particular it is assumed that students have reasonable knowledge about hypothesis tests, p-values, confidence intervals, tables of counts, one-way analysis of variance and linear regression.
Learning Objectives:
Introduction
Introduction to the statistical computing package R.
Review of Introduction to Statistics
Concepts of statistical inference, analysis techniques and case studies.
Categorical Data
Chi-square test, odds and odds ratios.
One-way and two-way Analysis of Variance
One or two grouping factors, and understanding interactions between grouping factors.
Regression
The linear model and the underlying assumptions of the model. Transforming data to satisfy the assumptions of the linear model. Regression as trend + scatter + watch out for outliers (revision of Introduction to Statistics), fitting parametric trend curves (lines, polynomials), models for Y and models for log(Y), smoothing, transforming to linearity, multiple regression, dummy variables, prediction, model diagnostics, logistic regression.
Time Series
Components, plots, time series regression analysis and forecasting.
Course Text:
We strongly recommend doing some revision by reading the Introductory Statistics textbook Chance Encounters: A First Course in Data Analysis and Inference by C.J. Wild and G.A.F. Seber. Course notes will be provided.
