STAT201-21S1 (C) Semester One 2021

Applied Statistics

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 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

  • You will be able to:
  • Use R in analysing data;
  • understand commonly used statistical methods for analysis of univariate, and multivariate problems;
  • know how to apply analysis techniques based on statistical learning methods;
  • conduct statistical analyses using R;
  • write lab reports in which data are analysed and computer output is interpreted

Pre-requisites

STAT101 or
15 points from 100-level MATH or
EMTH (excluding MATH110)

Restrictions

FORE210, STAT220, FORE222, STAT222

Timetable 2021

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Wednesday 09:00 - 10:00 E16 Lecture Theatre
22 Feb - 4 Apr
26 Apr - 6 Jun
Lecture B
Activity Day Time Location Weeks
01 Friday 10:00 - 11:00 Rehua 009
22 Feb - 28 Mar
26 Apr - 6 Jun
Lecture C
Activity Day Time Location Weeks
01 Monday 13:00 - 14:00 E7 Lecture Theatre
22 Feb - 4 Apr
3 May - 6 Jun
Computer Lab A
Activity Day Time Location Weeks
01 Thursday 14:00 - 15:00 Jack Erskine 442 Computer Lab
1 Mar - 4 Apr
26 Apr - 6 Jun
02 Thursday 15:00 - 16:00 Jack Erskine 442 Computer Lab
1 Mar - 4 Apr
26 Apr - 6 Jun
03 Thursday 16:00 - 17:00 Jack Erskine 442 Computer Lab
1 Mar - 4 Apr
26 Apr - 6 Jun

Course Coordinator / Lecturer

Jennifer Wilcock

Assessment

Assessment Due Date Percentage 
Assignments (x8) 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 $788.00

International fee $4,438.00

* 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

  • STAT201-21S1 (C) Semester One 2021