# CECS Professional Skills Mapping

## STAT1008 — Quantitative Research Methods

code: STAT1008 Quantitative Research Methods 6 https://programsandcourses.anu.edu.au/course/STAT1008 Compare and contrast different sampling methodologies and assess suitability for a range of situations; discuss issues with choice of sampling method; sampling vs nonsampling errors; sample vs census choiceDiscuss different types of variables and produce appropriate graphical and numerical descriptive statisticsUnderstand and apply probability rules and concepts relating to discrete and continuous random variables, including univariate and bivariate distributions and some specific probability density functions, concepts of expectation, variance, correlation and portfolio constructionUnderstand the importance of the Central Limit Theorem and its uses and applications; judging appropriate conditions for its application; use the CLT to find probabilities associated with a range of values for a sample average; sample size determinationConsider concepts of estimation — point and interval estimators, unbiasedness and consistency, calculation and interpretation of confidence intervals for a range of situationsPerform and interpret hypothesis tests for a range of situations, identifying the situation at hand and assessing whether assumptions are met; discuss types of errors, significance, p-values, make appropriate conclusions with regards to decision makingPerform and interpret simple and multiple linear regressions, assessing suitability of the model for the data type and situation; apply and interpret simple time series models Typical assessment may include, but is not restricted to: quizzes, assignments and a final exam (100%)

### Mapped learning outcomes

learning outcome1. KNOWLEDGE AND SKILL BASE2. ENGINEERING APPLICATION ABILITY3. PROFESSIONAL AND PERSONAL ATTRIBUTESassessment tasks
1.11.21.31.41.51.62.12.22.32.43.13.23.33.43.53.61
1. Compare and contrast different sampling methodologies and assess suitability for a range of situations; discuss issues with choice of sampling method; sampling vs nonsampling errors; sample vs census choice
1. Discuss different types of variables and produce appropriate graphical and numerical descriptive statistics
1. Understand and apply probability rules and concepts relating to discrete and continuous random variables, including univariate and bivariate distributions and some specific probability density functions, concepts of expectation, variance, correlation and portfolio construction
1. Understand the importance of the Central Limit Theorem and its uses and applications; judging appropriate conditions for its application; use the CLT to find probabilities associated with a range of values for a sample average; sample size determination
1. Consider concepts of estimation — point and interval estimators, unbiasedness and consistency, calculation and interpretation of confidence intervals for a range of situations
1. Perform and interpret hypothesis tests for a range of situations, identifying the situation at hand and assessing whether assumptions are met; discuss types of errors, significance, p-values, make appropriate conclusions with regards to decision making
1. Perform and interpret simple and multiple linear regressions, assessing suitability of the model for the data type and situation; apply and interpret simple time series models

### Course contribution towards the Engineers Australia Stage 1 Competency Standard

This table depicts the relative contribution of this course towards the Engineers Australia Stage 1 Competency Standard. Note that this illustration is indicative only, and may not take into account any recent changes to the course. You are advised to review the official course page on P&C for current information..

 1. KNOWLEDGE AND SKILL BASE 1.1 1.2 1.3 1.4 1.5 1.6 2. ENGINEERING APPLICATION ABILITY 2.1 2.2 2.3 2.4 3. PROFESSIONAL AND PERSONAL ATTRIBUTES 3.1 3.2 3.3 3.4 3.5 3.6

### Engineers Australia Stage 1 Competency Standard — summary

1. KNOWLEDGE AND SKILL BASE
1.1Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
1.2Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
1.3In depth understanding of specialist bodies of knowledge within the engineering discipline.
1.4Discernment of knowledge development and research directions within the engineering discipline.
1.5Knowledge of contextual factors impacting the engineering discipline.
1.6Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the engineering discipline.
2. ENGINEERING APPLICATION ABILITY
2.1Application of established engineering methods to complex engineering problem solving.
2.2Fluent application of engineering techniques, tools and resources.
2.3Application of systematic engineering synthesis and design processes.
2.4Application of systematic approaches to the conduct and management of engineering projects.
3. PROFESSIONAL AND PERSONAL ATTRIBUTES
3.1Ethical conduct and professional accountability.
3.2Effective oral and written communication in professional and lay domains.
3.3Creative, innovative and pro-active demeanour.
3.4Professional use and management of information.
3.5Orderly management of self, and professional conduct.
3.6Effective team membership and team leadership.

Updated:  18 February 2021/ Responsible Officer:  Dean, CECS/ Page Contact:  CECS Academic Education Services