Course handbook


The course includes foundation concepts in probability, statistics, normal distribution, binomial theorem, correlation and regression and their application to problem solving.

Availability2018 Course Timetables


  • Semester 2 - 2018


  • Semester 2 - 2018

Learning outcomes

On successful completion of the course students will be able to:

1. have developed skills in probability

2. have gained competence in the basic skills required for data presentation and analysis of statistics.

3. have been introduced to the concepts of correlation and regression and their application in solving specific problems

4. demonstrate a broad understanding of the subject area which, together with EPMATH135 Intermediate Mathematics 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 central tendency and 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.


To enrol in this course you must be active in the Open Foundation or YAPUG program. You cannot enrol in this course if you are currently enrolled in or have successfully completed EPMATH234, EPMATH253, EPMATH302, EPMATH303 or EPMATH309.

Assessment items

Quiz: Quizzes

In Term Test: Class Test

Formal Examination: Final Examination

Contact hours

Callaghan and Ourimbah


Face to Face On Campus 2 hour(s) per Week for 12 Weeks


Face to Face On Campus 1 hour(s) per Week for 11 Weeks