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SIT191 - Introduction to Statistics and Data Analysis


2020 unit information

Important Update:

Classes and seminars in Trimester 2/Semester 2, 2020 will be online. Physical distancing for coronavirus (COVID-19) will affect delivery of other learning experiences in this unit. Please check your unit sites for announcements and updates one week prior to the start of your trimester or semester.

Last updated: 2 June 2020

Enrolment modes:Trimester 1: Burwood (Melbourne), Waurn Ponds (Geelong), Cloud (online)
Trimester 2: Burwood (Melbourne), Waurn Ponds (Geelong), Cloud (online)
Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 1: Michelle Cyganowski
Trimester 2: Michelle Cyganowski




Incompatible with:


Typical study commitment:

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus:

2 x 1 hour classes per week, 1 x 2 hour practical per week.

Scheduled learning activities - cloud:

1 x 1 hour scheduled online workshop per week.


Data is everywhere in the world. Without knowing how to interpret or use information from the data it would be difficult to understand its meaning. Statistics is both a method and a tool for interpreting information, testing hypotheses and analysing the inferences people make about the real-world. SIT191 aims to aid students develop knowledge in using statistics to summarise, describe and interpret numerical and graphical data and perform statistical inferences. In this unit, students will develop knowledge of the fundamentals of probability for reasoning real-world situations.  Students will be required to use statistical software and calculators to analyse data and interpret results for tests on population means and proportions, chi-square tests, correlation and linear regression, and one-way ANOVA.


These are the Learning Outcomes (ULO) for this Unit

At the completion of this unit successful students can:

Deakin Graduate Learning Outcomes


Calculate and construct suitable numerical and graphical summaries to describe and interpret data.

GLO1: Discipline-specific knowledge and capabilities
GLO3: Digital literacy
GLO4: Critical thinking
GLO5: Problem solving


Apply knowledge of probability to solve problems related to various distributions.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
GLO5: Problem solving


Apply techniques of statistical inference to analyse data involving proportions
means and associations.

GLO1: Discipline-specific knowledge and capabilities
GLO3: Digital literacy
GLO4: Critical thinking
GLO5: Problem solving


Use statistical software to generate and interpret relevant output for quantitative data.

GLO1: Discipline-specific knowledge and capabilities
GLO3: Digital literacy
GLO4: Critical thinking
GLO5: Problem solving

These Unit Learning Outcomes are applicable for all teaching periods throughout the year


Assessment Description Student output Weighting (% total mark for unit) Indicative due week
Three problem solving tasks

Written mathematical tasks

40% (10%, 15%, 15%) Weeks 4, 8 and 11
Practical tasks Weekly practical tasks 20% Weekly
Examination 2-hour written examination 40% Examination period

The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.

Hurdle requirement

To be eligible to obtain a pass in this unit, students must achieve a mark of at least 40% in the examination.

Learning Resource

Prescribed text(s): De Veaux et al, 2015, Stats Data & Models Global Edition, 4th Ed, Pearson Education, Harlow, United Kingdom.

The texts and reading list for the unit can be found on the University Library via the link below: SIT191 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.

Unit Fee Information

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