STA1010 Statistical methods for science
Faculty of Science
STA1010 Statistical methods for science is a level 1, 6-credit-point, undergraduate unit from the Faculty of Science, offered in 2020 in Semester 1 and Semester 2 at Clayton. It has no prerequisites and unlocks 28 units, leading on to 104 units in all.
- Credit points
- 6
- Offered in 2020
- Semester 1, Semester 2
- Clayton
- Assessment
- Exam 60%
- and 1 other task
This is the 2020 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before STA1010
No prerequisites or corequisites besides the enrolment rules below.
After STA1010
28 units list STA1010 as a prerequisite or corequisite.
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Overview
Descriptive statistics, scatter plots, correlation, line of best fit. Elementary probability theory. Confidence intervals and hypothesis tests using normal, t and binomial distributions. Use of computer software. Formal treatment of statistical analyses and the role of probability in statistical inference.
Offerings in 2020
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
| First semester (Fully flex) | Clayton | Flexible |
| Second semester | Clayton | On campus |
Assessment
- In-semester assessmentThreshold hurdle40%
- Examination (3 hours and 10 minutes)Threshold hurdle60%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Understand the key steps of the scientific method and how it can be applied to real problems that involve data analysis and interpretation;
- 2
Appreciate how statistical data is collected, analysed and stored;
- 3
Understand the meaning of population parameters such as mean, standard deviation, and median;
- 4
Understand the importance of statistical techniques in the analysis of data;
- 5
Present and interpret data graphically;
- 6
Determine confidence intervals for population parameters, and distinguish between a population parameter and a sample statistic;
- 7
Determine the appropriate statistical technique for a given context;
- 8
Perform simple statistical operations using Excel;
- 9
Take a random sample from a population and determine whether data fits a statistical hypothesis;
- 10
Prepare and write a scientific report.
Workload and teaching
- Applied sessions24 hours
- Lectures36 hours
- Teaching approachActive learning
- Teaching approachOnline learning
Three 1-hour lectures and one 2-hour applied class per week
Active learning will occur in lectures and applied classes.
Online learning will be used to illustrate and explain concepts and to highlight links between theory and practical work.
Learning resources
Technology resources
MS© Office Excel
Where it fits
STA1010 is part of 8 areas of study in the 2020 handbook.
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Contacts
- Chief Examiners
- Associate Professor Jonathan Keith
- Unit Coordinators
- Associate Professor Jonathan Keith
- Dr Daniel McInnes
Common questions
What are the prerequisites for STA1010?
STA1010 has no prerequisites, but enrolment rules apply.
What can I take after STA1010?
STA1010 is a prerequisite or corequisite for 28 units, including BFF2701, BIO3011, ECC3860, ETB2111, ETC1010 and ETC2410. Those lead on to 104 units in all.
When is STA1010 offered?
In 2020, STA1010 runs in Semester 1 and Semester 2 at Clayton.
Does STA1010 have an exam?
Yes. The exam is worth 60% of the final mark, alongside 1 other task.
Which majors and minors include STA1010?
STA1010 is part of Applied mathematics; Financial and insurance mathematics; Mathematical statistics; and Mathematics.