This subject contains a 3 day Optional Residential School.
This subject provides a foundation in the basic practice of statistics, ie explaining variability. The orientation is towards the sciences covering both experimental and observational data. The emphasis is on understanding statistical concepts and applying acquired skills to data interpretation by the use of modern software packages. The modern approach to the teaching of statistics is used including group work, use of local data and small projects.
No offerings have been identified for this subject in 2020.
HD/FL
One session
School of Science and Technology
Descriptive statistics: Graphs and statistics as summaries, frequency tables, concept of population and sample, random variation, measurement levels (categorical, ordinal, interval, ratio), measures of location and dispersion, mean and median, standard deviation, range and coefficient of variation; Basic probability: Probability estimate from relative frequency and percentiles; Random Variables: Representing the outcome of experiments in terms of random variables, distinguishing between discrete and continuous random variables and calculating probabilities; Sampling Distributions: The application of various sampling strategies and the distribution of sample means and proportions; Inference based on a single sample: Using a sample to gain information about a population, controlled experimentation, randomisation and causality, distribution of sample means and proportions, confidence intervals, hypothesis tests; Inference based on two independent samples: Using a sample to gain information about a population, controlled experimentation, randomisation and causality, distribution of sample means and proportions, confidence intervals, hypothesis tests; Analysis of Variance: One-way ANOVA for testing differences in two or more means, graphical displays, checks on assumptions and post hoc tests; Chi-square tests: Fitting distributions to data, checking distributions graphically and by chi-square, testing 2-way tables of counts; Regression: Intercept and slope, error sum of squares, correlation, relation to slope, F and t tests of slope, R squared; Experimental Design: Difference between experimental and observational data, issues of cost, sample size, efficiency, layout of simple orthogonal designs - single factor, randomised blocks, latin square, balanced incomplete block, factorial designs.
This subject contains a 3 day Optional Residential School.
The information contained in the CSU Handbook was accurate at the date of publication: October 2020. The University reserves the right to vary the information at any time without notice.