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|
|Points||18 points 18 points|
|Teaching period(s)||First Semester, Summer School|
|Domestic Tuition Fees (NZD)||$886.35|
|International Tuition Fees (NZD)||$3,766.35|
- STAT 115, (BSNS 102 or BSNS 112), QUAN 101
- Schedule C
- Arts and Music, Science
- 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.
- More information link
- View further information about STAT 110
- Teaching staff
- Dr Phillip Wilcox and Megan Drysdale
- Paper Structure
- The paper covers:
- An introduction to probability
- Binomial and normal distributions
- 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
- 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.