STAT201-16S1 (C) Semester One 2016

Applied Statistics

15 points

Details:
Start Date: Monday, 22 February 2016
End Date: Sunday, 26 June 2016
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 6 March 2016
  • Without academic penalty (including no fee refund): Sunday, 22 May 2016

Description

A practical introduction to commonly used statistical methods, designed to increase the breadth of statistics skills. The emphasis is on 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.

Learning Outcomes

  • 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

Prerequisites

Restrictions

FORE210, STAT220, FORE222, STAT222

Course Coordinator / Lecturer

Daniel Gerhard

Lecturers

Euan Mason and Carl Scarrott

Assessment

Assessment Due Date Percentage 
Assignments 40%
Final Examination 60%

Textbooks / Resources

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.

Indicative Fees

Domestic fee $720.00

International fee $3,450.00

* 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.

For further information see Mathematics and Statistics .

All STAT201 Occurrences

  • STAT201-16S1 (C) Semester One 2016
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