University Course Planner The University of Adelaide Australia

STATS 1000UACM - Statistical Practice I

Career: Non-Award
Units: 3
Term: Semester 1
Campus: UofA College Melbourne
Contact: Up to 5 hours per week
Restriction: Available only to University of Adelaide College Melbourne Campus students
Available for Study Abroad and Exchange: No
Available for Non-Award Study: No
Assumed Knowledge: SACE stage 2 Mathematical Methods
Incompatible: MATHS 2107, STATS 1004, STATS 1005, ECON 1008, STATS 1504
Assessment: Ongoing assessment, exam

Statistical ideas and methods are essential tools in virtually all areas that rely on data to make decisions and reach conclusions. This includes diverse fields such as medicine, science, technology, government, commerce and manufacturing. In broad terms, statistics is about getting information from data. This includes both the important question of how to obtain suitable data for a given purpose and also how best to extract the information, often in the presence of random variability. This course provides an introduction to the contemporary application of statistics to a wide range of real world situations. It has a strong practical focus using the statistical package R to analyse real data. Topics covered are: organisation, description and presentation of data; design of experiments and surveys; random variables, probability distributions, the binomial distribution and the normal distribution; statistical inference, tests of significance, confidence intervals; inference for means and proportions, one-sample tests, two independent samples, paired data, t-tests, contingency tables; analysis of variance; linear regression, least squares estimation, residuals and transformations, inference for regression coefficients, prediction.

Course Fees

Tuition fees for students undertaking this course are charged by University of Adelaide College.

Course Outline

A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here

Critical Dates

Term Last Day to Add Online Census Date Last Day to WNF Last Day to WF
Semester 1 Tue 15/03/2022 Thu 24/03/2022 Fri 06/05/2022 Fri 10/06/2022

Class Details

Enrolment Class: Tuition
Class Nbr Section Size Available Dates Days Time Location
20964 TT01 20 16 4 Mar - 8 Apr Friday 1:30pm - 3:30pm  
29 Apr - 3 Jun Friday 1:30pm - 3:30pm  
Related Class: Workshop
Class Nbr Section Size Available Dates Days Time Location
21003 WR01 20 16 2 Mar - 6 Apr Wednesday 5:30pm - 6:30pm  
27 Apr - 1 Jun Wednesday 5:30pm - 6:30pm  
Automatic Enrolment Class: Computer Exercise
Class Nbr Section Size Available Dates Days Time Location
21002 CO01 20 16 2 Mar - 6 Apr Wednesday 1:30pm - 2:30pm  
27 Apr - 1 Jun Wednesday 1:30pm - 2:30pm  
Automatic Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
21023 LEC0 20 16 This class does not have any timetabled face-to-face sessions. Please check MyUni or contact your Course Coordinator for details.