This unit (HHH1001) of study introduces students to the quantitative skills and techniques required to critically analyse scientific reports, scientific data and understand research methods employed in biomedical science. The unit will explore the role of mathematics and statistics in developing scientific knowledge and how statistics is used for interpreting information, testing hypotheses and analysing the inferences people make about the real-world. Students will be required to use statistical software, online modules and calculators to analyse data and interpret results for experimental and sampling designs, tests on population means and proportions, correlation and linear regression, and one-way ANOVA.

Unit details

Study level:
Undergraduate
Credit points:
12
Unit code:
HHH1001

Learning Outcomes

On successful completion of this unit, students will be able to:
  1. Clarify the functional importance of mathematical skills in biomedical science;  
  2. Demonstrate a range of standard statistical methods which can be applied to common study designs in biomedical and health sciences  
  3. Explain and apply basic knowledge in using statistics to summarise, describe and interpret scientific data and perform statistical inferences;  
  4. Apply basic principles of experimental design when collecting data and perform hypotheses testing;  
  5. Analyse biomedical and health data using common statistical software and interpret results to solve science related problems.  

Assessment

Assessment type Description Grade
Exercise Online modules (10 exercises - total 250 words) 15%
Test Maths skills test (400 words) 20%
Other Computer based exercises (500 words) 25%
Test Statistics Test (MCQ & short answer questions; 750 words) 40%

Required reading

Biostatistics for the Biological and Health Sciences 2nd ed.
Triola, M., Triola, M. & Roy, J., (2017)
Pearson Education, USA.

Where to next?

As part of a course

This unit is studied as part of the following courses. Refer to the course page for information on how to apply for the course.

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