Courses & Units

Data Handling and Statistics 2 KMA253

Introduction

Data Handling and Statistics 2 is the second of three applied statistics units offered by the School of Natural Sciences (Mathematics). This unit is designed to extend students' knowledge of statistical data analysis. It builds on the concepts introduced in Data Handling & Statistics 1 and gives a detailed treatment of regression and ANOVA within a general linear modelling framework. 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 the general public. Students will be able to evaluate the appropriateness of experimental designs and statistical methods and suggest changes to designs and analyses.

Summary

Unit name	Data Handling and Statistics 2
Unit code	KMA253
Credit points	12.5
College/School	College of Sciences and Engineering School of Natural Sciences
Discipline	Mathematics
Coordinator	Professor Barbara Holland
Available as an elective?	Yes
Delivered By	University of Tasmania
Level	Intermediate

Availability

Location	Study period	Attendance options		Available to
Hobart	Semester 2	On-Campus		International	Domestic
Online	Semester 2		Off-Campus	International	Domestic

Key

: On-campus
: Off-Campus
: International students
: Domestic students

Note

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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

Key Dates

Study Period	Start date	Census date	WW date	End date
Semester 2	22/7/2024	16/8/2024	9/9/2024	27/10/2024

* 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 (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2024 are indicative and subject to change. Finalised census dates for 2024 will be available from the 1st October 2023. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

Understand and be able to explain both the need for and the limitations of statistical analyses applied to data from diverse sources including both observational studies and experimental designs.
Apply theoretical and practical knowledge of modern statistical analysis to construct statistical models for a wide range of problems in various disciplines. Implement and test these models in the statistical software R.
Interpret results of the statistical analyses and communicate the design of the experiment, the goal of the experiment and the analytical results to both statisticians and non-statisticians.

Fee Information

Field of Education	Commencing Student Contribution ^1,3	Grandfathered Student Contribution ^1,3	Approved Pathway Course Student Contribution ^2,3	Domestic Full Fee ⁴
010103	$555.00	$555.00	not applicable	$2,648.00

¹ Please refer to more information on student contribution amounts.
² Please refer to more information on eligibility and Approved Pathway courses.
³ Please refer to more information on eligibility for HECS-HELP.
⁴ Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Requisites

Prerequisites

(KMA153 - Data Handling and Statistics 1 OR KMA154 - Mathematics 1B OR JEE104 - Mathematics II)

Mutual Exclusions

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

KMA653

Teaching

Teaching Pattern	1 x 1-hour short pre-recorded videos, 1 x 1-hour live lecture (online), 1 x 2-hour computer lab (1 x 1-hour for distance offering with 1 hour independent prework expected), 1 x 1-hour optional Q&A session, ~4 hours self directed study (e.g. reading, working on assessment).
Assessment	Project 1 (15%)\|Project 2 (15%)\|Project 3 (15%)\|Online quizzes (20%)\|Test (35%)
Timetable	View the lecture timetable \| View the full unit timetable

Textbooks

Required	Required readings will be listed in the unit outline prior to the start of classes.
Links	Booktopia textbook finder

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.