# INTRODUCTION TO DATA ANALYSIS

STA1IDA

2021

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.

SchoolEngineering and Mathematical Sciences

Credit points15

Subject Co-ordinatorDeborah Jackson

Subject year levelYear Level 1 - UG

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

## Subject particulars

### Subject rules

PrerequisitesN/A

Co-requisitesN/A

Incompatible subjectsECO1ISB OR STA1PSY OR STA1SS OR BUS1BAN OR STA1CTS OR STA1LS OR STA1STM

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

## Learning resources

### Elementary Statistics

Resource TypeBook

Resource RequirementPrescribed

AuthorJohnson and Kuby

YearN/A

Edition/Volume11th edition

PublisherCengage Learning

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Resource TypeWeb resource

Resource RequirementRecommended

AuthorVersion 25

YearN/A

Edition/VolumeN/A

PublisherIBM

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

## Graduate capabilities & intended learning outcomes

### 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.

## Subject options

Select to view your study options…

Start date between: and    Key dates

## Bendigo, 2021, LTU Term 1, Online

### Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorDeborah Jackson

### Class requirements

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 elementCategoryContributionHurdle% ILO*
One 3-hour examinationN/AN/ANo60 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/AN/ANo20 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/AN/ANo20 SILO1, SILO2, SILO3, SILO5

## Melbourne (Bundoora), 2021, LTU Term 1, Online

### Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorDeborah Jackson