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A practical introduction to commonly used statistical methods, designed to increase the breadth of statistical skills. The emphasis is the application of statistical techniques to solve problems involving real data.
Common statistical techniques such as sample surveys, experimental design, hypothesis testing and analysis of variance are introduced, with an emphasis on problem solving as applied to real data. The computer package R is used, but no prior knowledge is assumed. Students on this course may also be interested in enrolling in STAT202/FORE224 Regression Modelling/Biometry 1B.
be able to use R-commander to analyse dataunderstand sampling designs (e.g., simple random sampling, stratified sampling) and experimental designs (e.g., completely randomised, randomised block)be able to conduct statistical analyses using ANOVA and other techniques using R commanderunderstand interactions in two-way ANOVAwriting lab reports in which data are analysed and computer output is interpreted
STAT201, FORE210, STAT220, STAT222
Recommended Reading:•Biostatistical analysis. Jerrold H. Zar, Prentice Hall.•Design and Analysis of Experiments, Douglas Montgomery, Wiley.•The R book, Michael J Crawley.These are on restricted loan in the Library.
Domestic fee $1,002.00
International fee $5,063.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
This course will not be offered if fewer than 5 people apply to enrol.
For further information see
School of Forestry