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.
The course is designed for students majoring in statistics, as well as students from other disciplines (e.g. biology, commerce, etc.) who want to increase the breadth of their statistical knowledgebase. 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 data
- understand 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 commander
- understand interactions in two-way ANOVA
- writing lab reports in which data are analysed and computer output is interpreted
Students must attend one activity from each section.
8 Lab Assignments @ 5% each
•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.
* Fees include New Zealand GST 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.
All FORE222 Occurrences
Semester One 2018