# MTH135 Mathematics And Statistics In Health Sciences (8)

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.

No offerings have been identified for this subject in 2021.

Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

## Subject Information

HD/FL

One session

##### School

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.

##### Subject Relationships

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

##### Incompatible Subjects

MTH105, QBM117, STA109, STA117, STA201

## 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

##### This 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.

The information contained in the CSU Handbook was accurate at the date of publication: May 2021. The University reserves the right to vary the information at any time without notice.

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