# 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 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 STAT110 Statistics 0.1500 18 points 18 points First Semester, Summer School \$904.05 \$3,954.75
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

Summer School Course Co-ordinator: Associate Professor Katrina Sharples
Teaching Staff: To be confirmed

Semester 1: Dr Phillip Wilcox and Megan Drysdale

Paper Structure

The paper covers:

• Data: where does it come from and how should we collect it?
• Probability
• Binomial and normal distributions
• Sampling distributions
• Confidence Intervals and estimation
• Hypothesis testing and power
• Contingency tables for categorical data
• Analysis of variance
• Regression including simple linear and multiple linear with confounding discussion.
Teaching Arrangements
Four 1-hour lectures per week, plus cafeteria-style (voluntary attendance) tutorials each week for assistance with course material and assessments
Textbooks

There is no set text. Copies of all lecture slides area available at the start of the course either in electronic or paper form.

Interdisciplinary perspective, Scholarship, Communication, Critical thinking, Information literacy.
Learning Outcomes
Demonstrate awareness of and proficiency in the basics of objective statistical data analysis.

## 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, 19-22
L2 Monday 08:00-08:50 9-15, 17, 19-22
AND one stream from
M1 Tuesday 10:00-10:50 9-15, 17-22
M2 Tuesday 08:00-08:50 9-15, 17-22
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

### 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 2-7
Wednesday 10:00-11:50 2-7
Thursday 10:00-11:50 2-5, 7