Statistical Data Analysis - DATAX221 (2023)

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
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 Head of Department.
Internal assessment / examination: 50:50

Trimesters and Locations

Occurrence Code When taught Where taught
23A (HAM)A Trimester : 27 Feb 2023 - 25 Jun 2023 Hamilton

Timetabled Lectures for Statistical Data Analysis (DATAX221)

DayStartEndRoomDates
Tue9:00 AM11:00 AMS.G.03Feb 27 - Jun 4
Wed10:00 AM11:00 AMK.G.11Feb 27 - Jun 4

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 
23A (HAM) $824 $3503
You will be sent an enrolment agreement which will confirm your fees.
Tuition fees shown below are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

Paper Outlines

Paper outlines are currently not available for this paper. Please contact the Faculty or School office for further details.

Additional Information

Available Subjects:  Data Analytics | Geographic Information Systems | Mathematics | Statistics | Software Engineering

Paper details current as of : 7 December 2022 9:58am
Indicative fees current as of : 9 December 2022 4:32am

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