The lessons below use graphical procedures and data summary statistics. Further statistical procedures used are listed. Methods such as confidence intervals, hypothesis testing, chi square, regression and bivariate model fitting, time series and bootstrapping are in the New Zealand high school curriculum but others (for example multiple linear regression and multivariate procedures) are more appropriate at university undergraduate level.
The lessons have been developed by teachers who have used these lessons in the classroom. If you have a lesson you think would interest others please make contact as described below and your document will be posted.
Lessons
- Getting Started with GenStat
A quick start manual aimed at providing basic skills needed to navigate around GenStat, open files, and perform basic statistical analyses.
Written by Freya Broughton-Ansin of Takapuna Grammar School. - Using GenStat with Junior classes to Year 12
This document contains most of the information about junior (age 13 -16) GenStat contained in Year 11 bivariate and Year 12 inference files.
Written by Jeanette Chapman of Otago Girl’s High School. - GenStat Instructions for Year 11
Instructions for common tasks with GenStat, aimed at New Zealand Year 11 (age 15-16) high school students. Covers data entry, opening external files, scatter plots and drawing a line of best fit.
Written by Jeanette Chapman of Otago Girl’s High School. - Bootstrapping
This lesson covers the concepts and methodology of the Bootstrapping standard introduced to the Year 13 (age 16-18) school curriculum.
Written by Jeanette Chapman of Otago Girl’s High School. - Biology Statistics using GenStat
This lesson covers various methods for analysing biological data, including Anova, Chi-Squared, Linear Regression and Paired t-test.
Written by Jeanette Chapman of Otago Girl’s High School.
There are four data files associated with this lesson: - Genstat for the Year 12 standard 2.9: Use statistical methods to make an inference
For NZ year 12 (age 16-17) high school students. These instructions are for students who wish to use Genstat to take a sample from a population and then analyse it to enable them to make an inference about the population. These instructions are suitable for new Achievement Standard 91264: “Use statistical methods to make an inference”.
Written by Jeanette Chapman of Otago Girl’s High School. - Bivariate Data Analysis using Linear Regression and Genstat
For NZ Year 13 (age 17-18) high school students. Covers bivariate data analysis, predictions, correlations, piecewise functions, non-linear models, polynomial fitting and time series.
Written by Jeanette Chapman of Otago Girl’s High School. - Time Series using centred moving average with GenStat
Time Series analysis lesson using centred moving average to smooth series. Aimed at year 13 high school students. Covers trend lines, seasonal effects, piecewise functions, estimates of parameters.
Written by Jeanette Chapman of Otago Girl’s High School. - Time Series using Holts Winter method with GenStat
Time Series analysis lesson using Holts Winter method to smooth the series. Aimed at year 13 high school students.
Written by Jeanette Chapman of Otago Girl’s High School. - Randomisation tests with GenStatBrief lesson on performing a Randomisation test (sometimes called a Permutation test), using difference of means.
Written by Jeanette Chapman of Otago Girl’s High School.
Other Resources
Web site maintained by Greg Trounson and John Harraway,
Department of Mathematics and Statistics, University of Otago
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