MTH135 Mathematics And Statistics In Health Sciences (8)

CSU Discipline Area: Mathematics and Statistics (MASTA)

Duration: One session

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 Locations

Session 1
Internal	Wagga Wagga
Distance	Wagga Wagga

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.

Enrolment restrictions:

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

Objectives:

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.

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