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2021 unit offering information will be available in September 2020

Unit description

A basic understanding of the concepts underlying hypothesis testing is provided, with emphasis upon the normal distribution and central limit theorem. Equips students with a range of quantitative data analytic techniques (correlation, z-test, single-sample t-test, between groups t-test, and repeated measures t-test) utilised in psychological research.

Unit content

  • Basic concepts
  • Describing and exploring data
  • Basic concepts of probability
  • The normal distribution
  • Pearson's correlation coefficient
  • Sampling distribution and central limit theorem
  • Hypothesis testing: t-test for a single mean
  • Hypothesis testing: repeated measures t-test
  • Hypothesis testing: independent measures t-test
  • Assumptions and their implications

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

GA1: Intellectual rigour, GA2: Creativity, GA3: Ethical practice, GA4: Knowledge of a discipline, GA5: Lifelong learning, GA6: Communication and social skills, GA7: Cultural competence
On completion of this unit, students should be able to:GA1GA2GA3GA4GA5GA6GA7
1correctly calculate basic parametric statistics on a variety of data setsKnowledge of a discipline
2understand the logic of null-hypothesis testing and its application in simple experimental designsKnowledge of a discipline
3conduct appropriate parametric hypothesis tests for one- and two-group designsKnowledge of a discipline
4interpret the description of results to be found in research publications employing simple experimental designsKnowledge of a discipline
5identify errors and interpretation problems in published research employing a range of simple experimental designsIntellectual rigour
6communicate the results of an analysis adhering to APA standards.Communication and social skills

On completion of this unit, students should be able to:

  1. correctly calculate basic parametric statistics on a variety of data sets
    • GA4: Knowledge of a discipline
  2. understand the logic of null-hypothesis testing and its application in simple experimental designs
    • GA4: Knowledge of a discipline
  3. conduct appropriate parametric hypothesis tests for one- and two-group designs
    • GA4: Knowledge of a discipline
  4. interpret the description of results to be found in research publications employing simple experimental designs
    • GA4: Knowledge of a discipline
  5. identify errors and interpretation problems in published research employing a range of simple experimental designs
    • GA1: Intellectual rigour
  6. communicate the results of an analysis adhering to APA standards.
    • GA6: Communication and social skills

Teaching and assessment

Notice

Intensive offerings may or may not be scheduled in every session. Please refer to the timetable for further details.

Southern Cross University employs different teaching methods within units to provide students with the flexibility to choose the mode of learning that best suits them. SCU academics strive to use the latest approaches and, as a result, the learning modes and materials may change. The most current information regarding a unit will be provided to enrolled students at the beginning of the study session.

Fee information

Domestic

Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.

Fee paying courses
For postgraduate or undergraduate full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees

International

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