FORE222-14S1 (C) Semester One 2014

Biometry 1a

15 points

Details:
Start Date: Monday, 24 February 2014
End Date: Sunday, 29 June 2014
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 9 March 2014
  • Without academic penalty (including no fee refund): Sunday, 25 May 2014

Description

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 knowledge base. 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

  • Students will:
  • 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

STAT101 or STAT111 or STAT112 or STAT131

Restrictions

STAT201, FORE210, STAT220, STAT222

Timetable Note

Students must register on-line for tutorial sessions at the commencement of the course. Instructions on this will be provided at the first lecture and can also be found on-line on the STAT 201 home page. Spaces in sessions of either 12 noon or 1 pm have been set aside for Forestry Science students so that you do not have timetable clashes with other Forestry courses.

Course Coordinator

Patrick W Saart

This course is co-coded with STAT 201 and managed by the Maths and Statistics Department. For full information on the paper, search the CIS on STAT201 in the appropriate academic year.

Assessment

Assessment Due Date Percentage  Description
Lab Assignments 30% 6 Lab Assignments @ 5% each
Term Test 10%
Mid-Year Exam 60%

Textbooks / Resources

Recommended Reading:
Zar, 1999. Biostatistical Analysis (4th ed). Prentice-Hall
Montgomery, 2000. Design and Analysis of Experiments. John Wiley & Sons
Crawley, 2007. The R Book. Wiley

Indicative Fees

Domestic fee $841.00

International fee $4,100.00

* 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.

Minimum enrolments

This course will not be offered if fewer than 5 people apply to enrol.

For further information see School of Forestry .

All FORE222 Occurrences

  • FORE222-14S1 (C) Semester One 2014
Previous year Next year