Subject description
STAT252 provides an introduction to statistical techniques. Topics covered are: data presentation; probability, binomial and Poisson distributions; Normal distribution; inference for single samples; comparison of two samples; analysis of variance and multiple comparisons; linear regression and correlation; goodness-of-fit testing and contingency tables.
Equivalence
STAT201 - Random Variables and Estimation
STAT101 - Introduction to Statistics
STAT151 - Introduction to the Concepts and Practice of Statistics
STAT231 - Probability and Random Variables
PSYC232 - Research Methods & Statistics
STAT131 - Understanding Variation and Uncertainty
STAT232 - Estimation and Hypothesis Testing
COMM121 - Statistics for Business
Delivery
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Teaching staff
Subject coordinators
Lecturers
Engagement hours
Contact Hours:2 hrs lecturer, 1 hr lecture & 1.5 hrs computer lab per week
Learning outcomes
On successful completion of this subject, students will be able to:
1.
Select an appropriate simple experimental design;
2.
Apply and interpret Exploratory Data Analysis;
3.
Explain basic concepts of hypothesis testing and estimation, including null and alternative hypotheses, type I and II errors, significance level, P-values, power, confidence limits and standard errors;
4.
Implement basic statistical procedures, both parametric and non-parametric, for single and multiple samples, using a statistical computer package, and interpret the output;
5.
Select appropriate models and procedures for practical problems;
6.
Present the conclusions of a statistical analysis in the context of the particular application.
Assessment details
Assignments
Quizzes
Lab Logbook
Mid-session exam
End of Session Exam
Textbook information
No prescribed textbooks for this subject.
Contact details
Faculty contact