STATS221

Statistical Data Analysis

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.

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.
Internal assessment / examination: 50:50
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.

Semesters and Locations

Occurrence Code When taught Where taught
19A (HAM)A Semester : 25 Feb 2019 - 23 Jun 2019 Hamilton

Timetabled Lectures

The Timetable for 2019 is not available.


Indicative Fees

Fees for 2019 are not yet available.


Paper Outlines

The following 2018 paper outlines are available for STATS221. Please contact the Faculty or School office for details on 2019 outlines.

Additional Information

Available Subjects:  Data Analytics | Mathematics | Statistics

Other available years: Statistical Data Analysis - STATS221 (2018)

Paper details current as of : 11 October 2018 3:33pm
Indicative fees current as of : 5 June 2018 4:30am

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