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Macquarie University

STAT2170 Applied Statistics

General Information

The unit convenor and teaching staff for this course are Convenor Iris Jiang, Lecturer Maurizio Manuguerra, and Thomas Fung. This unit is worth 10 credit points and has prerequisites of FOSE1015 or STAT170(P) or STAT1170 or STAT171 or STAT1371 or STAT150 or STAT1250. There are no corequisites for this unit, and it has a co-badged status with STAT6180.

The unit description is as follows: This unit aims to extend and broaden statistical experience from 1000-level statistics units, with a focus on application to real-world analysis. It covers relationships between categorical or continuous explanatory variables and a continuous response variable using the techniques of one-way and two-way analysis of variance and simple and multiple linear regression. Data management, report writing, graphical presentation of results, and power analysis are discussed.

Learning Outcomes

On successful completion of this unit, students will be able to:

• Summarise data graphically and numerically and interpret them.
• Apply appropriate statistical methods, such as one-way ANOVA, two-way ANOVA, and multiple regression, to answer research questions.
• Justify and evaluate the assumptions underlying the models, and modify the analysis if needed.
• Use statistical software to create model output and interpret them.
• Demonstrate foundational learning skills including active engagement in their learning process.

General Assessment Information

To pass this unit, students must achieve a total mark equal to or greater than 50% and participate in, and undertake all the practice-based activities for a minimum of 10 of the 12 weekly SGTAs.

Assessment Tasks

The assessment tasks for this unit are:

• Practice Based Skills (0%): Development of knowledge and skills requires continual practice. During SGTAs, students will practice a range of statistical techniques.
• iLearn Quiz (20%): The quiz will become available on iLearn and will test students' ability to summarise data graphically and numerically, apply statistical methods, and justify and evaluate assumptions.
• Mid-Semester Test (25%): The mid-semester test will assess students' understanding of statistical methods and their ability to apply them to research questions.
• Assignment (25%): The assignment will cover all learning outcomes and will require students to demonstrate their understanding of statistical concepts and their ability to apply them to real-world problems.
• Final Exam (30%): The final exam will test students' understanding of all learning outcomes and will require them to demonstrate their ability to apply statistical methods to research questions.

Delivery and Resources

The unit will be delivered through lectures and SGTAs. Students must register in and attend one two-hour class per week. The timetable for classes can be found on the University website.

Unit Schedule

The unit schedule is as follows:

• Week 1: Course introduction; One-sided tests; Type I and Type II error; Introduction to R/RStudio
• Week 2: Modified two-sample t-test; Assessing normality and equal variance assumptions
• Week 3: One way ANOVA
• Week 4: One way ANOVA, Multiple comparisons; iLearn Quizzes Due
• Week 5: Transformations; Non-parametrics; Power and Sample Size
• Week 6: Data management; R Markdown; Simple linear regression
• Week 7: Simple linear regression and model validation; Multiple regression; Mid-Semester Test Due
• Week 8: Multiple regression and model validation
• Week 9: Extensions and examples of multiple regression
• Week 10: Two-way ANOVA
• Week 11: Two-Way ANOVA and Multiple Comparisons; Assignment Due
• Week 12: Two-Way ANOVA, Regression and Multiple Comparisons
• Week 13: Exam Details and Revision

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central. Students should be aware of the following policies in particular with regard to Learning and Teaching:

• Academic Appeals Policy
• Academic Integrity Policy
• Academic Progression Policy
• Assessment Policy
• Fitness to Practice Procedure
• Assessment Procedure
• Complaints Resolution Procedure for Students and Members of the Public
• Special Consideration Policy

Changes from Previous Offering

We value student feedback to be able to continually improve the way we offer our units. As such, we encourage students to provide constructive feedback via student surveys, to the teaching staff directly, or via the FSE Student Experience & Feedback link in the iLearn page.