Available in 2022
Course code

EPMATH235

Units

10 units

Level

level

Course handbook

Description

The course includes foundation concepts in probability, statistics, normal distribution, binomial theorem, correlation and regression and their application to problem solving. Recommended together with EPMATH135 for undergraduate degrees in Science, Social Science and Health Science and degrees with a statistical component.


Availability

Online

  • Semester 1 - 2022
  • Semester 2 - 2022

Callaghan

  • Semester 1 - 2022
  • Semester 2 - 2022

Ourimbah

  • Semester 1 - 2022
  • Semester 2 - 2022

Learning outcomes

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

1. Apply probability theory to solve specific problems.

2. Present data and conduct analysis of statistics at a basic level.


Content

  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.

Requisite

You cannot enrol in this course if you are currently enrolled in or have successfully completed EPMATH234, EPMATH253, EPMATH302, EPMATH303 or EPMATH309.

This course is only available to students who are active in the Open Foundation or the Yapug Programs [10719], [10720], 10919, [11015], [11016], [11195], [40216].


Assessment items

Quiz: Quizzes

In Term Test: Class Test

Formal Examination: Final Examination


Contact hours

Callaghan

Lecture

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

Tutorial

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

Ourimbah

Lecture

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

Tutorial

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

Online

Self-Directed Learning

Self-Directed 12 hour(s) per Week for 12 Weeks

Self-Directed learning is equivalent to face-to-face contact hours. It involves engagement with course materials that are delivered at a time that suits you via short videos, course notes, podcasts, readings and other activities.

Tutorial

Online 1 hour(s) per Week for 12 Weeks

Workshop

Face to Face On Campus 5 hour(s) per Term Full Term

Face2Face Day x 2

The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.