Introductory Statistics

Course aim

To develop a working appreciation and knowledge of statistical approaches in managing research data.

Course content

Basic concepts and terminology used in research and statistical analysis; populations and samples; levels of measurement; descriptive statistics (presenting data through graphical and numerical summaries); basic principles of probability; normal distribution, sampling distribution of the sample mean; ; confidence interval estimation; paramatetric based statistical hypothesis testing procedures (one sample z and t-tests, 2 independent sample t-test, matched pairs t-test, One-way ANOVA, Bonferroni multiple comparison test, Two-way ANOVA, Repeated measures one-way ANOVA, Chi-square test); non-parametric based statistical hypothesis testing procedures (Sign test, Wilcoxon Signed-Ranks Test, Wilcoxon Rank-Sum Test, Kruskal_Wallis Test, Friedman test); relationships between quantitative variables (Simple and multiple linear regression); Power of hypothesis tests (power, probability of a type II error).

Textbook(s)

Mark & Mario Triola 2009, Biostatistics for the Biological and Health Sciences, Pearson

Prerequisite(s)

Nil

Corequisite(s)

Nil

Teaching method

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Assignment 1, Assignment 2, Participation in online discussions/commentaries

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.