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Data Handling and Statistics 1 unit (KMA153)

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

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.

AssessmentProject 1 (15%)|Project 2 (15%)|Project 3 (30%)|Quiz (40%)
TimetableView 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.

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