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 620-160 Experimental Design & Data Analysis

Note

  • Students may only gain credit for one of [99]620-001, 620-131, 620-152, 620-160.

  • Students enrolling in this subject are expected to have completed VCE Mathematical Methods 3/4 (or an equivalent subject).

Credit Points

12.5

HECS Band

2

Coordinator

Dr K Sharpe

Semester

1, repeat 2, Summer (view timetable)

Contact

36 lectures (three per week), 11 hours practical classes (one hour per week) and 11 one-hour tutorials (one per week)

Subject Description

This subject lays the foundations for subsequent studies in probability and statistics, as well as being vital for students who need to use probability and statistics in other subjects in their course. Students completing this subject will develop skills in probability modelling and data analysis, and appreciate the significance of random variation in science, technology and commerce.

Data description and analysis. Elementary distribution theory: binomial and normal distributions. Random sampling. Population parameters and sample statistics. Estimation, confidence intervals and hypothesis testing based on the binomial and normal distributions. Introduction to distribution-free methods. Introduction to bivariate data, including correlation and linear regression. Scientific method and experimental design, including randomisation, blocking, factorial structure. Inference for regression. Application of computer software to data analysis.

Assessment

Up to 36 pages of written assignments or project work, a one-hour mid-semester test and a three-hour written examination.

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