FORE222-18S1 (C) Semester One 2018

Biometry 1a

15 points
19 Feb 2018 - 24 Jun 2018

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 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
    • University Graduate Attributes

      This course will provide students with an opportunity to develop the Graduate Attributes specified below:

      Critically competent in a core academic discipline of their award

      Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

Pre-requisites

Restrictions

STAT201, FORE210, STAT220, STAT222

Timetable 2018

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Wednesday 11:00 - 12:00 A3 Lecture Theatre 19 Feb - 1 Apr
30 Apr - 3 Jun
Lecture B
Activity Day Time Location Weeks
01 Tuesday 09:00 - 10:00 E6 Lecture Theatre 19 Feb - 1 Apr
23 Apr - 3 Jun
Lecture C
Activity Day Time Location Weeks
01 Friday 10:00 - 11:00 A2 Lecture Theatre 19 Feb - 25 Mar
23 Apr - 3 Jun
Computer Lab A
Activity Day Time Location Weeks
01 Monday 14:00 - 15:00 Jack Erskine 436 Computer Lab (26/2-26/3, 23/4-28/5)
Jack Erskine 442 (26/2-26/3, 23/4-28/5)
26 Feb - 1 Apr
23 Apr - 3 Jun
02 Monday 15:00 - 16:00 Jack Erskine 436 Computer Lab (26/2-26/3, 23/4-28/5)
Jack Erskine 442 (26/2-26/3, 23/4-28/5)
26 Feb - 1 Apr
23 Apr - 3 Jun
03 Monday 16:00 - 17:00 Jack Erskine 436 Computer Lab (26/2-26/3, 23/4-28/5)
Jack Erskine 442 (26/2-26/3, 23/4-28/5)
26 Feb - 1 Apr
23 Apr - 3 Jun
Workshop A
Activity Day Time Location Weeks
01 Wednesday 14:00 - 15:00 Forestry 252 Computer Lab 19 Feb - 1 Apr
30 Apr - 3 Jun

Assessment

Assessment Due Date Percentage  Description
Lab Assignments 40% 8 Lab Assignments @ 5% each
Mid-Year Exam 60%

Textbooks

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 $937.00

International fee $4,363.00

* Fees include New Zealand GST 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

  • FORE222-18S1 (C) Semester One 2018