Statistical Data Analysis - STATS221 (2020)

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): At least one of STAT111, STAT121, STATS111, STATS121, or minimum B grade in ENGEN102, or B- or higher in CSMAX101, or with the permission of the convenor or Statistics.
Internal assessment / examination: 100:0
Restriction(s): STAT221

Note: This paper is normally available only to students enrolled for the BBA(Fin) and BMS degrees or certain related programmes of study, such as BSocSc Economics majors. Students with 18 credits at Level 2 in NCEA Mathematics or better may choose STAT121 in place of STAT160.

Trimesters and Locations

Occurrence Code When taught Where taught
20A (HAM)A Trimester : 2 Mar 2020 - 28 Jun 2020 Hamilton

Timetabled Lectures

The Timetable for 2020 is not available.


Indicative Fees for Statistical Data Analysis (STATS221)

Occurrence Domestic International
 Tuition Resource 
20A (HAM) $780 $3145
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 for Statistical Data Analysis (STATS221)

The following paper outlines are available for Statistical Data Analysis (STATS221).
If your paper occurrence is not listed contact the Faculty or School office.

Additional Information

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

Other available years: Statistical Data Analysis - STATS221 (2022) , Statistical Data Analysis - STATS221 (2021) , Statistical Data Analysis - STATS221 (2019) , Statistical Data Analysis - STATS221 (2018)

Paper details current as of : 22 September 2023 8:09pm
Indicative fees current as of : 23 September 2023 4:30am

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