Faculty of Health, Arts and Design Unit Outline STA10003 Foundations of Statistics Semester 2, 2018 Please read this Unit Outline carefully. It includes: PART A Unit summary PART B Your Unit in more detail PART C Further information "Swinburne University of Technology recognises the historical and cultural significance of Australia's Indigenous history and the role it plays in contemporary education Each day in Australia, we all walk on traditional Indigenous land We therefore acknowledge the traditional custodians of the land that our Australian campuses currently occupy, the Wurundjer| people, and pay respect to Elders past and present, including those from other areas who now reside on Wurundjeri land" SWIN BUR NE SWINBURNE UNIVERSITY OF TECHNOLOGY
PART A: Unit Summary Unit Code(s) STA10003 Unit Title Foundations of Statistics Duration Semester 2, 2018 Total Contact Hours 3 hours per week Requisites: Pre-requisites None Co-requisites None Concurrent pre-requisites None Anti-requisites None Assumed knowledge None Credit Points 12.5 Campus/Location Hawthorn Mode of Delivery On Campus Assessment Summary 0% Statistics Readiness Test 40% Assignment [2 parts] 20% Topic Tests [10 x 2% each] 40% Final Examination Aims This unit of study enables students to develop the capacity to undertake independent statistical investigations, including the assumptions and limitations of their application. The unit will provide practical skills to allow students to meaningfully interpret the results of various hypothesis tests, as well as to understand probability distributions and sampling methods commonly applied when collecting data. Unit Learning Outcomes Students who successfully complete this Unit should be able to: 1. Specify the objectives of an investigation in statistical terms. 2. Identify the level of measurement of a variable, appropriate sampling methods, and research design of a study. 3. Produce appropriate descriptions and visualisations of data distributions. 4. Estimate population parameters (proportions, means) using appropriate statistics and confidence intervals. 5. Select and conduct appropriate hypothesis tests for different population parameters (proportions, single sample means, difference of means for matched and independent samples). 6. Describe the relationships between variables (correlations, crosstabs, relative risk and odds ratios) and test the significance of these relationships. 7. Interpret the outcomes of data analysis to write a concise report on findings. STA10003_Unit Outline_Sem_2_2018 Page 2 of 12 --
Key Generic Skills You will be provided with feedback on your progress in attaining the following generic skills: · Analysis skills. · Problem solving skills. · Communication skills. · Ability to tackle unfamiliar problems. · Ability to work independently. Content · Critical thinking in statistics; confounding and sources of bias. · Ordering and grouping data: interpretation of frequency tables and histograms; summarising data: median, IQR and boxplots; the mean and standard deviation; levels of measurement. · Describing and displaying relationships; Pearson's r; introduction to regression; relationships in tabulated data; correlation and causality. · Producing data; experiments; population and samples; density curves and normal distribution. · Introduction to estimation, confidence intervals for proportions, means and correlations. . Making decisions about means, the Binomial test, t-tests; testing relationships; Pearson's r; the Chi-square test of independence. · Relative Risk