STATISTICAL METHODS

STA1STM

2020

Credit points: 15

Subject outline

In this subject you will be introduced to statistical methods which are frequently used in science, psychology, health science and the social sciences. Topics include descriptive treatment of sample data, elementary probability and distributions, estimation and hypothesis testing of means and proportions. Other topics may include sample survey techniques, introduction to regression and chi-squared distribution. The statistical package SPSS will also be introduced. The strengths and limitations of statistical models to enable informed thinking about sustainability are explored.

School: Engineering and Mathematical Sciences (Pre 2022)

Credit points: 15

Subject Co-ordinator: Christopher Lenard

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 1 - UG

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: N/A

Co-requisites: N/A

Incompatible subjects: STA1SS OR ECO1ISB OR STA1LS OR STA1PSY OR STA1CTS

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

The basic practice of statistics & CDR

Resource Type: Book

Resource Requirement: Prescribed

Author: Moore, DS, Notz, WI and Fligner, MA

Year: 2013

Edition/Volume: 6TH EDN

Publisher: W.H. FREEMAN, NEW YORK.

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving

INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

PERSONAL AND PROFESSIONAL - Ethical and Social Responsibility

Intended Learning Outcomes

01. Summarise, numerically, graphically, and in words, the distribution of a data-set.

02. Describe and justify appropriate and reliable methods for gathering data via surveys and experiments.

03. Solve basic probability problems involving the normal distribution, and interpret the results within a specific context.

04. Analyse data using appropriate methods, including confidence intervals, hypothesis tests based on one and two sample means and matched pairs, and chi-squared tests.

05. Use simple linear regression and correlation to describe data and make predictions based on that data.

06. Perform basic statistical analyses using the software SPSS as a tool.

07. Communicate effectively in both technical and non-technical written language the results of statistical analyses.

Bendigo, 2020, Semester 2, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Christopher Lenard

Class requirements

LectureWeek: 31 - 43
Three 1.00 hour lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

WorkShopWeek: 31 - 43
One 1.00 hour workshop per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
One 3-hour examination (3000 words equivalent)Hurdle requirement: To pass the subject, a pass in the examination is mandatory.	N/A	N/A	N/A	Yes	60	SILO1, SILO2, SILO3, SILO4, SILO5, SILO6, SILO7
One 30 minute computer lab test (500 words equivalent)	N/A	N/A	N/A	No	10	SILO6, SILO7
Two 30 minute written tests (Test 1-10%, Test 2-20%) (500 words equivalent each, 1000 words total)	N/A	N/A	N/A	No	30	SILO1, SILO2, SILO3, SILO4, SILO5, SILO6, SILO7