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This unit will be offered for the first time in 2022.


This unit is designed to extend the knowledge of statistical data analysis. It builds on the concepts of regression and ANOVA introduced in Data Handling & Statistics 1 and introduces analyses using multiple explanatory variables, mixed-effects models and generalized linear models (GLMs, such as logistic regression.  Students will become proficient in the use of a contemporary statistical package R, the interpretation of its output and reporting of statistical analyses to statisticians and to general public. Students will be able to evaluate the appropriateness of experimental designs and statistical methods and suggest changes to designs and analysis.

If studying this unit off-campus, please note there is a need to attend either the Cradle Coast, Launceston or Hobart campus for a test held in week 13 of semester.

Summary 2021

Unit name Data Handling and Statistics 2
Unit code KMA253
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Natural Sciences
Discipline Mathematics

Teaching staff

Barbara Holland

Level Intermediate
Available as student elective? Yes
Breadth Unit? No



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* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).

About Census Dates




  • KMA153 or KMA154 or JEE104


Mutual Exclusions

You cannot enrol in this unit as well as the following:



Teaching Pattern

2x 1 hr face-to-face lectures,  2x1-hr computer lab sessions weekly.


2 in-class tests (50%), Projects (30%), Quizzes (15%), Class participation/computer labs (5%).

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