Undergraduate | LTU-STM1001 | 2024
Making Sense of Data
- Study method
- 100% online
- Subject may require attendance
- Start dates
- 8 Jan 2024,
- 4 Mar 2024,
- 29 July 2024
- Entry requirements
- Prior study needed
- 12 weeks
HECS-HELP and FEE-HELP available
Making Sense of Data
About this subject
On successful completion you will be able to:
- Convert data into useful information by using appropriate numerical and graphical summaries.
- Calculate probabilities and other quantities from discrete and continuous probability distributions.
- Identify and apply appropriate statistical inference methods for decision making.
- Compute, display, and interpret numerical and graphical summaries, probabilities and various statistical inference procedures using one or more statistical software package(s).
- Apply data visualisation skills and/or statistical knowledge in a chosen applied field of study.
- Introduction to statistics and presenting data
- Descriptive Statistics
- Probability and Distributions
- Sampling Distributions
- Hypothesis Testing, One-sample t-tests
- t-tests for two-sample hypothesis testing
- One-way ANOVA
- Correlation and Simple Linear Regression
- Hypothesis Testing for One and Two Sample Proportions
- Chi-squared Tests for Categorical Data
- Statistical Power and Sample Size Calculation
This subject introduces students to modern data analytics, visualisation, and statistics. It equips students with the skills required to take advantage of powerful computing for the analysis and visualisation of complex data. These skills are used to solve problems in areas such as the biological sciences, medical sciences, agricultural sciences, nutrition, health sciences, education, and business. Students will become familiar with data visualisation and computing, descriptive statistics, statistical modelling, and data-based decision making. Using statistical computing packages is an integral part of this subject. This subject allows further study in second-year subjects in statistics and data science.
- Six online quizzes (1200 word equivalent total). Best five quiz marks contribute to final mark. (30%)
- Three assignments (1800 words equivalent total), 600 words equivalent per assignment (45%)
- Final examination (1000 words equivalent) (25%)
For textbook details check your university's handbook, website or learning management system (LMS).
The third university established in Victoria, La Trobe University has a diverse community of more than 38,000 students and staff. Its commitment to excellence in teaching and research prepares students to make a bold and positive impact in today's global community. La Trobe provides Open Universities Australia with its core tenets, entrepreneurship and sustainability.
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Past La Trobe University students who have previously completed STA1LS (Statistics for Life Sciences), STA1SS (Statistical Science), STA1PSY (Statistical Psychology), STA1STM (Statistical Methods), STA1CTS (Critical Thinking with Statistics), or BUS1BAN (Analysing Business Data) are ineligible to enrol in this subject.
No additional requirements
This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
What to study next?
Once you’ve completed this subject it can be credited towards one of the following courses
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