Data Handling and Statistics 1 unit (KMA153)

Hobart, Online

Introduction

Data Handling and Statistics 1 is the first of three applied statistics units offered by the School of Natural Sciences (Mathematics). Statistics is the science of decision making, and as such forms a key foundation of any scientific research. This unit develops skills in statistical analysis and project design. Data Handling and Statistics 1 is an applied unit that develops conceptual understanding of the foundations of modern Statistics together with practical skills in data analysis. This is a hands-on unit that provides experience with the common techniques of descriptive and inferential statistics.

Summary

Unit name	Data Handling and Statistics 1
Unit code	KMA153
Credit points	12.5
College/School	Sciences and Engineering School of Natural Sciences
Discipline	Mathematics
Coordinator	Doctor Danijela Ivkovic
Available as an elective?	Yes
Delivered By	University of Tasmania
Level	Introductory

Availability

Specific information on 2027 unit availability will be available in August

Key Dates

Study Period	Start date	Census date	WW date	End date
Semester 2	4/7/2027	26/7/2027	29/8/2027	23/10/2027
Semester 1	21/2/2027	15/3/2027	18/4/2027	12/6/2027

* 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 2027 are indicative and subject to change. Finalised census dates for 2027 will be available from the 1st October 2026. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

• summarize and explore multivariate data sets using appropriate numeric and graphical tools in order to communicate statistical concepts to both scientific and lay audiences.
• recognize the key issues involved in designing a survey or experiment, and assess strengths and weaknesses in statistical arguments.
• identify and apply appropriate statistical techniques, such as hypothesis tests and confidence intervals, to make inferences based on data.
• perform common statistical analyses in a statistical computing package.

Fee Information

2027 fee information will be available in August.

Requisites

Mutual Exclusions

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

KMA553

Teaching

Teaching Pattern	Face to face: Blended delivery: 1-hr/week pre-recorded video lectures, 1-hr/week live online lecture, 2-hr face-to-face computer-based practical session, 1-hr/week optional online Q&A. Online: Blended delivery: 1-hr/week pre-recorded video lectures, 1-hr/week live online lecture, 1-hr/week online computer-based practical session, 1-hr/week optional online Q&A.
Assessment	Project 1 (15%)|Project 2 (15%)|Project 3 (30%)|Quiz (40%)
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.

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