INTRODUCTION TO DATA ANALYSIS

STA1IDA

2020

Credit points: 15

Subject outline

This subject provides an introduction to applied statistics. It introduces students to the basic applied statistical methods used in psychology, biology, medicine, health, engineering, business, sociology and arts. The three main areas of study are descriptive statistics, probability distributions and statistical inference. The use of the SPSS statistical computing package is an integral part of the subject.

School: Engineering and Mathematical Sciences (Pre 2022)

Credit points: 15

Subject Co-ordinator: Deborah Jackson

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: STA1CTS OR STA1LS OR STA1STM OR ECO1ISB OR STA1PSY OR BUS1BAN OR STA1SS

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

Elementary Statistics

Resource Type: Book

Resource Requirement: Prescribed

Author: Johnson and Kuby

Year: N/A

Edition/Volume: 11th edition

Publisher: Cengage Learning

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

SPSS Grad pack

Resource Type: Web resource

Resource Requirement: Recommended

Author: Version 25

Year: N/A

Edition/Volume: N/A

Publisher: IBM

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

Intended Learning Outcomes

01. Identify, calculate and interpret appropriate numerical and graphical summaries for univariate and bivariate data.

02. Calculate probabilities and other quantities from discrete, continuous and sampling probability distributions.

03. Identify and apply appropriate statistical inference methods for decision making.

04. Compute, display and interpret numerical and graphical summaries and various statistical inference procedures using the SPSS statistical software package.

05. Apply basic numeracy skills for calculating various quantities in statistics.

Bendigo, 2020, Summer 2 , Online

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Deborah Jackson

Class requirements

Directed ReadingWeek: 2 - 7
Ten 4.00 hours directed reading per study period on any day including weekend during the day from week 2 to week 7 and delivered via online.
Directed readings consist of readings from the prescribed textbook and online video clips that explain the readings and cover practical examples. There are 10 readings where each reading is intended to span 4 hours. Approximately 2 hours of reading and 2 hours of video clips.

Scheduled Online ClassWeek: 2 - 7
One 1.00 hour scheduled online class per week on weekdays during the day from week 2 to week 7 and delivered via online.
Scheduled online class consists of interaction between learner and teacher using the online discussion forum. The teacher uses this hour to reply to questions posted on the online discussion forum. The number of one-hour classes per week is dependent on student numbers.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
One 3-hour examination	N/A	N/A	N/A	No	60	SILO1, SILO2, SILO3, SILO4, SILO5
Five Assignments (1000 words equivalent total)There are five assignments where each assignment is worth 4% of the overall mark.	N/A	N/A	N/A	No	20	SILO1, SILO2, SILO3, SILO4, SILO5
Ten Online Quizzes (500 words equivalent total)There are ten online quizzes where each quiz is worth 2% of the overall mark.	N/A	N/A	N/A	No	20	SILO1, SILO2, SILO3, SILO5

Melbourne (Bundoora), 2020, Summer 2 , Online