STAT100 Introduction to Statistical Modelling

Updated: 30 July 2020
Credit Points 6
Offering
Location Teaching Period Mode of Study
Armidale OUA Trimester 2 Online
Armidale OUA Trimester 3 Online
Armidale Trimester 2 Online
Armidale Trimester 2 On Campus
Armidale Trimester 3 Online
Intensive School(s) None
Supervised Exam There is no supervised examination.
Pre-requisites None
Co-requisites None
Restrictions QM161
Notes

Online students should have access to freeware statistical packages R and RStudio.

The ability to enrol in this unit will be removed on the first day of teaching of each trimester.

Combined Units None
Coordinator(s)
Unit Description

Many advances in modern science, ranging from livestock experiments to analysis of Martian soils, rely on statistical methods that link observation or experiment to a better understanding of how complex systems work. In this introductory unit, students both develop statistical literacy and learn how to present and interpret data for a common set of statistical models.

Topics include exploratory data analysis, randomness associated with experiment data, statistical modelling, sampling, probability, regression, analysis of variance, and tests of significance. Statistical computing forms an integral part of the unit. The R statistical software will be supplied.

Important Information

Where calculators are permitted in examinations, it must be selected from an approved list, which can be accessed from the Further Information link below.

Further information

Prescribed Material
Mandatory

Text(s):

Note: Students are expected to purchase prescribed material. Please note that textbook requirements may vary from one teaching period to the next.

OpenIntro Statistics

ISBN: 9781943450077
Diez, D.M., Barr, C.D. and Cetinkaya-Rundel, M., OpenIntroInc. 4th ed. 2019

Note: This textbook is freely available online at Open Intro

Text refers to: Trimester 2 and 3, On Campus and Online

Disclaimer Unit information may be subject to change prior to commencement of the teaching period.
Assessment
Must
Complete
Title Exam Length Weight Mode No. Words
Compulsory Assessment 01-3, 5, 6, 8-10 20%
Assessment Notes

Online assignment (requires calculations). Must complete at least six of the eight online assignments and both written assignments. The best six online assignments and both written assignments count towards the final grade. Must obtain at least 40% overall for the assessments.

Relates to Learning Outcomes (LO)

LO: 1, 2, 3, 5

Compulsory Assessment 4 15% 150
Assessment Notes

Written assignment (requires calculations and a report). Must complete at least six of the eight online assignments and both written assignments. The best six online assignments and both written assignments count towards the final grade. Must obtain at least 40% overall for the assessments.

Relates to Learning Outcomes (LO)

LO: 1, 2, 3, 4, 5

Compulsory Assessment 7 15% 150
Assessment Notes

Written assignment (requires calculations and a report). Must complete at least six of the eight online assignments and both written assignments. The best six online assignments and both written assignments count towards the final grade. Must obtain at least 40% overall for the assessments.

Relates to Learning Outcomes (LO)

LO: 1, 2, 3, 4, 5

Compulsory Take Home Exam 2 hrs 15 mins 50%
Assessment Notes

Must obtain at least 40% in the Take Home Examination and obtain an overall passing grade.

Relates to Learning Outcomes (LO)

LO: 1, 3, 4


Learning Outcomes (LO) Upon completion of this unit, students will be able to:
  1. summarise, display and interpret data sets;
  2. use computer software to generate statistics and graphical representations of data;
  3. fit and interpret simple statistical models;
  4. produce a report that is understandable by someone with little statistical knowledge, which describes statistical analysis, results and conclusions; and
  5. read, understand and critique articles that contain statistical information.