By the end of the course, the students will:
* have developed skills in probability
* have gained competence in the basic skills required for data presentation and analysis of statistics.
* have been introduced to the concepts of correlation and regression and their application in solving specific problems.
* demonstrate a broad understanding of the subject area which, together with EPMATH135 Basic Quantitative Methodology 1 is suitable for undergraduate studies in Science, Social Science and Health Science and degrees with a statistical component.

1. Probability: simple probability, experimental probability, expectation, complementary events; set theory; Venn diagrams; contingency tables, conditional probability, tree diagrams and tables
2. Statistics: types of data, types of graphs, frequency distribution table, frequency histograms and polygons, stem and leaf plots, grouped data, cumulative frequency; measures of dispersion.
3. The Normal Distribution: statistics mode on the calculator, area under the curve, Z-scores
4. Correlation and Regression: correlation, line of best fit, linear regression
5. Further Probability: counting procedures, permutations, combinations; binomial theorem.

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EPMATH134 Intermediate Mathematics 1 or EPMATH153 Extension Mathematics 1

Internal Mode

Problem Based Learning
Lecture
Tutorial

Lecture: for 2 hour(s) per Week for 12 weeks
Tutorial: for 1 hour(s) per Week for 11 weeks