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Introduction to Statistics G (6554.7)

Level: Graduate Level
Credit Points: 3
HECS Bands: 2, 4
Faculty: Faculty of Science and Technology
Discipline: Academic Program Area - Technology

Availability

Unit Outlines

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  • Semester 1, 2020, ON-CAMPUS, BRUCE (194237) - View
  • Semester 2, 2019, ON-CAMPUS, BRUCE (190261) - View
  • Semester 1, 2019, ON-CAMPUS, BRUCE (190260) - View
  • Semester 2, 2018, ON-CAMPUS, BRUCE (181721) - View
  • Semester 1, 2018, ON-CAMPUS, BRUCE (181720) - View
  • Semester 2, 2017, ON-CAMPUS, BRUCE (174744) - View
  • Semester 1, 2017, ON-CAMPUS, BRUCE (165741) - View
  • Semester 1, 2016, ON-CAMPUS, BRUCE (154061) - View
  • Winter Term, 2015, ON-CAMPUS, BRUCE (141127) - View
  • Semester 1, 2015, ON-CAMPUS, BRUCE (145491) - View

If a link to your Unit Outline is not displayed, please check back later. Unit Outlines are generally published by Week One of the relevant teaching period.

Syllabus

This unit introduces students to modern statistical techniques and inference in a wide range of fields. Topics in this unit include data types and analysis, graphical displays and descriptive statistics, probability and probability distributions, sampling distributions, confidence intervals, hypothesis testing, correlation and simple linear regression, analysis of variance and Chi-square test.

Learning Outcomes

On successful completion of this unit, students will be able to:

1. Identify different types of variables and produce appropriate graphical displays and descriptive statistics;

2. Understand and apply probability rules and concepts related to various probability distributions;

3. Understand the concept of sampling distributions;

4. Conduct statistical inference including confidence intervals and hypothesis testing;

5. Perform and interpret correlation and simple linear regression including inference;

6. Perform analysis of variance and Chi-square tests; and

7. Understand basic statistical terminology in published material and express a problem in statistical terms.

Assessment Items

Prerequisites

None



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