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STAT110 Statistical Methods

Descriptive statistics, probability distributions, estimation, hypothesis testing, regression, analysis of count data, analysis of variance and experimental design. Sampling and design principles of techniques to build on in the implementation of research studies.

This is a paper in statistical methods for students from the sciences, including students studying biological science, social sciences and sport science, as well as those studying mathematics and statistics.

Paper title Statistical Methods
Paper code STAT110
Subject Statistics
EFTS 0.1500
Points 18 points
Teaching period First Semester
Domestic Tuition Fees (NZD) $851.85
International Tuition Fees (NZD) $3,585.00

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Restriction
STAT 115, (BSNS 102 or BSNS 112), QUAN 101
Schedule C
Arts and Music, Science
Course outline
Eligibility
There are no formal mathematical or statistical prerequisites for this paper, but students who have not done mathematics or statistics at NCEA Level 3 are encouraged to make use of the online and tutorial resources available as part of the paper.
Contact
stat110@maths.otago.ac.nz
Teaching staff
Prof Richard Barker
Paper Structure
The paper covers:
  • Data
  • An introduction to probability
  • Binomial and normal distributions
  • Estimation
  • Hypothesis testing
  • Analysis of variance
  • Contingency tables for categorical data
  • Simple linear regression
  • Introduction to multiple regression
Teaching Arrangements
Four 1-hour lectures per week, plus cafeteria-style tutorial sessions.
Textbooks
Course materials will be available on the resource page. A course reader of complete notes is available for purchase.
Graduate Attributes Emphasised
Communication, Critical thinking, Information literacy.
View more information about Otago's graduate attributes.
Learning Outcomes
Demonstrate awareness of and proficiency in the basics of objective statistical data analysis.

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Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Other

Lecture

Stream Days Times Weeks
Attend one stream from
L1 Monday 10:00-10:50 9-15, 17-22
L2 Monday 08:00-08:50 9-15, 17-22
AND one stream from
M1 Tuesday 10:00-10:50 9-15, 18-22
M2 Tuesday 08:00-08:50 9-15, 18-22
AND one stream from
N1 Wednesday 10:00-10:50 9-15, 17-22
N2 Wednesday 08:00-08:50 9-15, 17-22
AND one stream from
O1 Thursday 10:00-10:50 9-15, 17-22
O2 Thursday 08:00-08:50 9-15, 17-22

Descriptive statistics, probability distributions, estimation, hypothesis testing, regression, analysis of count data, analysis of variance and experimental design. Sampling and design principles of techniques to build on in the implementation of research studies.

This is a paper in statistical methods for students from any of the sciences, including students studying biological sciences, social sciences or sport science, as well as those studying mathematics and statistics. The paper provides an introduction to the use of statistical methods for the description and analysis of data, use of computer software to carry out data analysis, and the interpretation of the results of statistical analyses for a range of research studies.

Paper title Statistical Methods
Paper code STAT110
Subject Statistics
EFTS 0.1500
Points 18 points
Teaching period(s) First Semester, Summer School
Domestic Tuition Fees Tuition Fees for 2018 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

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Restriction
STAT 115, (BSNS 102 or BSNS 112), QUAN 101
Schedule C
Arts and Music, Science
Eligibility
Suitable for students of all disciplines with an interest in the quantitative analysis of data. There are no formal mathematical or statistical prerequisites for this paper, but students who have not done mathematics or statistics at NCEA Level 3 are encouraged to make use of the online and tutorial resources available as part of the paper.
Contact
stat110@maths.otago.ac.nz
Teaching staff
Dr Phillip Wilcox and Megan Drysdale
Paper Structure
The paper covers:
  • Data
  • An introduction to probability
  • Binomial and normal distributions
  • Estimation
  • Hypothesis testing
  • Analysis of variance
  • Contingency tables for categorical data
  • Simple linear regression
  • Introduction to multiple regression
Teaching Arrangements
Four 1-hour lectures per week, plus cafeteria-style (voluntary attendance) tutorials each week for assistance with course material and assessments
Textbooks
Course materials will be available on the resource page. A course reader of lecture notes is available for purchase through the University Print Shop located in the Central Library.
Graduate Attributes Emphasised
Communication, Critical thinking, Information literacy.
View more information about Otago's graduate attributes.
Learning Outcomes
Demonstrate awareness of and proficiency in the basics of objective statistical data analysis.

^ Top of page

Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Other

Lecture

Stream Days Times Weeks
Attend one stream from
L1 Monday 10:00-10:50 9-13, 15-22
L2 Monday 08:00-08:50 9-13, 15-22
AND one stream from
M1 Tuesday 10:00-10:50 9-13, 15-22
M2 Tuesday 08:00-08:50 9-13, 15-22
AND one stream from
N1 Wednesday 10:00-10:50 9-13, 15-16, 18-22
N2 Wednesday 08:00-08:50 9-13, 15-16, 18-22
AND one stream from
O1 Thursday 10:00-10:50 9-13, 15-22
O2 Thursday 08:00-08:50 9-13, 15-22

Summer School

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Other

Lecture

Stream Days Times Weeks
Attend
L1 Monday 10:00-11:50 2-7
Tuesday 10:00-11:50 2-5, 7
Wednesday 10:00-11:50 2-7
Thursday 10:00-11:50 2-7