Introduction to Statistical Methods - STATS121 (2021)

An introduction to statistical data collection and analysis. Topics include general principles for statistical problem solving; some practical examples of statistical inference; and the study of relationships between variables using regression analysis.

Paper Information

Points: 15.0
Internal assessment / examination: STATS121-21A (HAM) 50:50, 21A (NET) 100:0
Restriction(s): STATS111

Note: The 22A(NET) occurrence of this paper is exclusively for Unistart students.

Trimesters and Locations

Occurrence Code When taught Where taught
21A (HAM)A Trimester : 1 Mar 2021 - 27 Jun 2021 Hamilton
STATS121-21A (HAM) is offered in a FLEXI mode. No online elements of this paper require student engagement at specific times / days.
21A (NET)A Trimester : 1 Mar 2021 - 27 Jun 2021 Online

Timetabled Lectures

The Timetable for 2021 is not available.


Indicative Fees for Introduction to Statistical Methods (STATS121)

Occurrence Domestic International
 Tuition Resource 
21A (HAM) $789 $3239
21A (NET) $789 $3239
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 Introduction to Statistical Methods (STATS121)

The following paper outlines are available for Introduction to Statistical Methods (STATS121).
If your paper occurrence is not listed contact the Faculty or School office.

Additional Information

Available Subjects:  Computer Science | Data Analytics | Embedded Systems | Population Studies | Statistics

Other available years: Introduction to Statistical Methods - STATS121 (2022) , Introduction to Statistical Methods - STATS121 (2020) , Introduction to Statistical Methods - STATS121 (2019) , Introduction to Statistical Methods - STATS121 (2018)

Paper details current as of : 12 December 2023 8:52am
Indicative fees current as of : 12 December 2023 4:32am

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