FORE224-13S2 (C) Semester Two 2013

Biometry 1b

15 points

Details:
Start Date: Monday, 8 July 2013
End Date: Sunday, 10 November 2013
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 21 July 2013
  • Without academic penalty (including no fee refund): Sunday, 6 October 2013

Description

To provide a practical introduction to the fundamentals of linear regression modelling, with emphasis on application to real data and problems.

This course is of interest to 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. Regression models are the most widely used statistical tools for examining the relationships among variables. We cover the core concepts in regression modelling, with an emphasis on problem solving as applied to real data. The computer package R is used, one of the mostly widely used statistical packages, but no prior knowledge of R is assumed. Students on this course may also be interested in STAT201/FORE222 Applied Statistics, although it is not a pre-requisite.

Learning Outcomes

  • be able to use R/R-commander to input and analyze data
  • be able to analyze data using simple and multiple regression models as well as logistic regression
  • understand the relationship between regression and ANOVA
  • understand diagnostics for testing modelling assumptions
  • understand methods for model selection
  • be able to interpret computer output, and be able to write reports that analyse data and interpret computer output

Prerequisites

STAT101 or STAT111 or STAT112 or STAT131

Restrictions

STAT202, FORE210, STAT220, STAT224

Timetable Note

This course is co-coded with STAT202. Students must register for tutorial sessions which commence on the second Monday of the course. There is a direct link from your personal Learn page for the course to the student entry point for My Timetable that enables you to self-allocate into one of three lab streams.

Course Coordinator

Luis Apiolaza

Lecturer

Euan Mason

Assessment

Assessment Due Date Percentage  Description
Lab Assignments 45% 9 Lab assignments at 5% each
Software Competency Test 15%
End-of-Year Exam 40%

Indicative Fees

Domestic fee $808.00

International fee $4,025.00

* 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 FORE224 Occurrences

  • FORE224-13S2 (C) Semester Two 2013
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