MTH135 Mathematics And Statistics In Health Sciences (8)

Abstract

This subject aims to provide students with the necessary foundation in mathematics and statistics for subjects in the health sciences. The mathematical module reinforces calculation skills, basic algebra, working with formulae and applications of exponential and logarithmic functions. In the study of statistics, the emphasis is on understanding the key concepts and applying acquired skills to data interpretation by the use of a modern software package.

+ Subject Availability Modes and Location

Session 1
Online	Wagga Wagga Campus

Continuing students should consult the SAL for current offering details: MTH135
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject information

Duration	Grading System	School:
One session	HD/FL	School of Computing and Mathematics

Enrolment restrictions

Only available to students from the Faculty of Science.
Not available to students who have completed STA109, STA117, STA201, QBM117 and MTH105.

Incompatible subject(s)	Related subject(s)
MTH105 QBM117 STA109 STA117 STA201	STA109 Content partly similar QBM117 There is significant overlap of QBM117 and statistical module of MTH135 MTH105 The mathematical module of MTH135 coincides with the first six topics of MTH105 STA201 The statistical module of MTH135 is based on STA201 STA117 Significant overlap in subject materials

Learning Outcomes

Upon successful completion of this subject, students should:

Be able to carry out calculations and use algebra correctly
Be able to plot and interpret graphs of mathematical functions
Be able to convert a measurement from one unit to another
Be able to use exponential and logarithm functions in applications
Be able to summarise and interpret data graphically and numerically
Be able to calculate and interpret probabilities, and use some standard probability distributions
Be able to calculate confidence intervals and carry out tests of hypotheses
Be able to use a statistical package to analyse data appropriately, and then interpret the output
Be able to evaluate if the assumptions underlying statistical techniques are valid in a given scenario

Syllabus

The subject will cover the following topics:

Module 1: Mathematics
Use of calculator, significant figures, scientific notation;
Algebra;
Geometry, measurement, the SI system of units;
Graphs and functions;
Logarithms and exponential functions;
Growth and decay; logarithmic graphs.
Module 2: Statistics
Basic statistical concepts - a variable, its level of measurement and its distribution, sample, population, statistic, parameter, correlation, inference;
Basic descriptive statistics - data representation and summary using graphs and tables, summary statistics for location and dispersion, correlation and simple linear regression;
Basic probability: sum and product rules, dependence and independence, continuous and discrete probability distributions, Binomial and Normal distributions, use of probability tables;
Introductory statistical inference: use of probability in statistics, distribution of the sample mean, single sample confidence interval and hypothesis test for mean.

Back

The information contained in the 2017 CSU Handbook was accurate at the date of publication: 25 August 2017. The University reserves the right to vary the information at any time without notice.