FORE222-21S1 (C) Semester One 2021

Biometry 1a

15 points

Details:
Start Date: Monday, 22 February 2021
End Date: Sunday, 27 June 2021
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 7 March 2021
  • Without academic penalty (including no fee refund): Friday, 14 May 2021

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.

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

Pre-requisites

Restrictions

STAT201, FORE210, STAT220, STAT222

Timetable 2021

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 12:00 - 13:00 Jack Erskine 121
22 Feb - 4 Apr
3 May - 6 Jun
Lecture B
Activity Day Time Location Weeks
01 Wednesday 10:00 - 11:00 John Britten 117 HP Seminar Room
22 Feb - 4 Apr
26 Apr - 6 Jun
Lecture C
Activity Day Time Location Weeks
01 Tuesday 09:00 - 10:00 Jack Erskine 315
22 Feb - 4 Apr
26 Apr - 6 Jun
Computer Lab A
Activity Day Time Location Weeks
01 Thursday 14:00 - 15:00 Forestry 252 Computer Lab
22 Feb - 4 Apr
26 Apr - 6 Jun

Lecturer

Euan Mason

Assessment

Assessment Due Date Percentage  Description
Lab Assignments 60% Six Lab Assignments @ 10% each
Mid-Year Exam 40%

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 $986.00

International fee $4,938.00

* 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

  • FORE222-21S1 (C) Semester One 2021