# STATISTICS FOR PSYCHOLOGY

STA1PSY

2019

Credit points: 15

## Subject outline

This subject is designed to introduce students undertaking the major stream of psychology to a range of statistical methods used in contemporary psychological research. The material covered in this subject aims to help students understand statistical principles through the introduction of basic statistical procedures. This subject will also help students comprehend statistical analyses in scientific research papers. The statistical computing package SPSS is an integral part of this subject with weekly practice classes held in a computer laboratory. (This subject is normally co-requisite for PSY1CFP and pre-requisite for PSY2PRM.)

SchoolSchool Engineering&Mathematical Sciences

Credit points15

Subject Co-ordinatorMitra Jazayeri

Subject year levelYear Level 1 - UG

Exchange StudentsYes

## Subject particulars

### Subject rules

PrerequisitesN/A

Co-requisitesN/A

Incompatible subjects STA1LS, STA1SS, STA2SS, STA1CTS, STA1STM, ECO1ISB

Equivalent subjectsN/A

Special conditionsN/A

## Learning resources

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsStatistics for Psychology, SPSS manual and exercises for the behavioural sciencesPrescribedJazayeri, M and Quah, HDEPARTMENT OF MATHEMATICS AND STATISTICS
ReadingsStatistics for the behavioral and social sciences. A brief course.PrescribedAron, A., Aron, E. and Coups, E.J.Pearson

## Graduate capabilities & intended learning outcomes

01. Interpret and manipulate data, using basic arithmetical calculations and graphical representations.

Activities:
Weekly face to face computer labs and practice problem classes.

02. Understand and define research questions in statistical terms and apply statistical techniques to analyse the data.

Activities:
Online and face to face lectures, weekly computer labs and practice problems

03. Apply statistical knowledge to produce and interpret outputs for descriptive and inferential statistics, using the statistical computer package SPSS.

Activities:
Weekly computer labs

04. Conduct parametric and nonparametric hypothesis tests and provide non-technical informative conclusions.

Activities:
Face to face and online lectures, weekly computer labs and practice problems classes.

05. Explain and interpret the results of statistical analysis using statistical and psychological terms.

Activities:
Developed through the formative assessment on assignments.

## Subject options

Select to view your study options…

Start date between: and    Key dates

## Albury-Wodonga, 2019, Semester 2, Blended

### Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorMitra Jazayeri

### Class requirements

PracticalWeek: 32 - 43
One 1.0 hours practical per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

LectureWeek: 31 - 31
Three 1.0 hours lecture per week on weekdays during the day from week 31 to week 31 and delivered via video conference.

Computer LaboratoryWeek: 32 - 43
One 1.0 hours computer laboratory per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

LectureWeek: 32 - 43
One 1.0 hours lecture per week on weekdays during the day from week 32 to week 43 and delivered via video conference.

LectureWeek: 32 - 43
Two 1.0 hours lecture per week on any day including weekend during the day from week 32 to week 43 and delivered via online.

### Assessments

Five 100-word assignments (500 words equivalent total)2001, 02, 03, 04, 05
One 2-hour examination (2000 words equivalent)5001, 02, 04, 05
Two 45-minute computer tests (750 words each, 1500 words equivalent total)3001, 02, 03, 04

## Bendigo, 2019, Semester 2, Blended

### Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorMitra Jazayeri

### Class requirements

PracticalWeek: 32 - 43
One 1.0 hours practical per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

LectureWeek: 31 - 31
Three 1.0 hours lecture per week on weekdays during the day from week 31 to week 31 and delivered via video conference.

Computer LaboratoryWeek: 32 - 43
One 1.0 hours computer laboratory per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

LectureWeek: 32 - 43
One 1.0 hours lecture per week on weekdays during the day from week 32 to week 43 and delivered via video conference.

LectureWeek: 32 - 43
Two 1.0 hours lecture per week on any day including weekend during the day from week 32 to week 43 and delivered via online.

### Assessments

Five 100-word assignments (500 words equivalent total)2001, 02, 03, 04, 05
One 2-hour examination (2000 words equivalent)5001, 02, 04, 05
Two 45-minute computer tests (750 words each, 1500 words equivalent total)3001, 02, 03, 04

## Melbourne, 2019, Semester 2, Blended

### Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorMitra Jazayeri

### Class requirements

PracticalWeek: 32 - 43
One 1.0 hours practical per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

LectureWeek: 31 - 31
Three 1.0 hours lecture per week on weekdays during the day from week 31 to week 31 and delivered via face-to-face.

Computer LaboratoryWeek: 32 - 43
One 1.0 hours computer laboratory per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

LectureWeek: 32 - 43
One 1.0 hours lecture per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

LectureWeek: 32 - 43
Two 1.0 hours lecture per week on any day including weekend during the day from week 32 to week 43 and delivered via online.