Foundations of Statistics

STA10003 12.5 Credit Points Hawthorn Available to incoming Study Abroad and Exchange students

Duration

  • One Semester or equivalent
     
    This unit will be delivered on-line in Semester 2 2020 
     
     

Contact hours

  • 36 hours per semester

On-campus unit delivery combines face-to-face and digital learning.

2021 teaching periods

Hawthorn

Higher Ed. Semester 2 HOL Study Period 3

Dates:
2 Aug 21 - 31 Oct 21

Results:
7 Dec 21

Last self enrolment:
15 Aug 21

Census:
31 Aug 21

Last withdraw without fail:
17 Sep 21

Dates:
30 Aug 21 - 28 Nov 21

Results:
21 Dec 21

Last self enrolment:
12 Sep 21

Census:
20 Sep 21

Last withdraw without fail:
15 Oct 21
More teaching periods
HOL Study Period 4

Dates:
29 Nov 21 - 27 Feb 22

Results:
29 Mar 22

Last self enrolment:
12 Dec 21

Census:
20 Dec 21

Last withdraw without fail:
14 Jan 22

Swinburne Online

Teaching Period 3

Dates:
8 Nov 21 - 13 Feb 22

Results:
8 Mar 22

Last self enrolment:
21 Nov 21

Census:
3 Dec 21

Last withdraw without fail:
31 Dec 21

Prerequisites

Nil
 

Corequisites

Nil
 
Alternative Tertiary Entry Program: Students who have passed STA00001 are exempted from taking this unit and must select another unit in its place with advice from a Course Advice Specialist. 

Aims and objectives

This unit of study enables students to develop the capacity to undertake independent statistical investigations, including the assumptions and limitations of their application. The unit will provide practical skills to allow students to meaningfully interpret the results of various hypothesis tests, as well as to understand probability distributions and sampling methods commonly applied when collecting data. 



Students who successfully complete this unit will be able to:

1. Specify the objectives of an investigation in statistical terms
2. Identify the level of measurement of a variable, appropriate sampling methods, and research design of a study
3. Produce appropriate descriptions and visualisations of data distributions
4. Estimate population parameters (proportions, means) using appropriate statistics and confidence intervals
5. Select and conduct appropriate hypothesis tests for different population parameters (proportions, single sample means, difference of means    for matched and independent samples)
6. Describe the relationships between variables (correlations, crosstabs, relative risk and odds ratios) and test the significance of these    relationships
7. Interpret the outcomes of data analysis to write a concise report on findings
 
 

Courses with unit

BA-HSC1 Bachelor of Health Science
BA-HSCPROF Bachelor of Health Science [Professional]
BB-HSCSCI Bachelor of Health Science / Bachelor of Science
BB-HSCMCMN Bachelor of Health Science / Bachelor of Media and Communication
BB-HSCBUS Bachelor of Health Science / Bachelor of Business
BA-PSY Bachelor of Psychological Sciences
BA-PSYS Bachelor of Psychological Sciences [SOL]
BA-BEHP Bachelor of Behavioural Studies [Psychology]
BA-SSCPSY2S Bachelor of Social Science [Psychology] [SOL]
BA-BEHS2 Bachelor of Behavioural Studies
BH-PSY Bachelor of Psychology [Honours]
BH-PSY1 Bachelor of Psychology [Honours] Graduate Entry
BA-CS Bachelor of Computer Science
BA-CSPROF Bachelor of Computer Science [Professional]