This paper introduces students to the R programming language which is used to investigate a collection of real data sets. Analysis of variance, multiple regression, non parametric methods and time series are covered.
Paper Information
Points: | 15.0 |
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Prerequisite(s): | STATS111, STATS121, DATAX111 or DATAX121; or minimum B grade in ENGEN102, or B- or higher in CSMAX101, or with the permission of the Paper Convenor. |
Internal assessment / examination: | 50:50 |
Restriction(s): | STATS221 |
Trimesters and Locations
Occurrence Code | When taught | Where taught |
---|---|---|
24A (HAM) | A Trimester : 26 Feb 2024 - 23 Jun 2024 | Hamilton |
Timetabled Lectures for Statistical Data Analysis (DATAX221)
Day | Start | End | Room | Dates |
---|---|---|---|---|
Tue | 9:00 AM | 11:00 AM | S.1.05 | Feb 26 - Jun 2 |
Wed | 10:00 AM | 11:00 AM | K.G.11 | Feb 26 - Jun 2 |
NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for DATAX221 for more details
Indicative Fees for Statistical Data Analysis (DATAX221)
Occurrence | Domestic | International | |
---|---|---|---|
Tuition | Resource | ||
24A (HAM) | $847 | $3678 |
Paper Outlines
The following 2023 paper outlines are available for DATAX221. Please contact the Faculty or School office for details on 2024 outlines.
Additional Information
Available Subjects: Crime Science | Data Analytics | Geographic Information Systems | Mathematics | Statistics | Software Engineering
Other available years: Statistical Data Analysis - DATAX221 (2023)
Paper details current as of : 29 November 2023 7:52pm
Indicative fees current as of : 30 November 2023 4:32am