APPLIED BIOSTATISTICS AND INFORMATICS I

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Course Code: 
MPH 7103
Course Credit Units: 
3
Semester: 
Semester 1
Year of Study: 
Year 1
Undergraduate or Graduate Level: 
Graduate Level
Course Discipline: 
Course Description & Objectives: 

This course deals with biostatistics as a means of summarising sets of data, coping with the variability of individuals within populations, and making decisions in the face of uncertainty. Applications of statistical methodology to public health research are emphasised. Introduction to Informatics will introduce participants to computers and information technology such as MS Windows and Epiinfo.                                                                                                                                                                                                                                                  Objectives:

  • To explain basic statistical concepts;
  • Discuss the use of statistics in public health and in emergencies;
  • Apply techniques of summarising data;
  • Perform hypothesis testing;
  • Apply probability theory; and
  • Apply the various steps in data management.

  

Learning Outcomes: 

At the end of the course, the student should be able to: 

  • Understand basic statistical concepts (definition, sources of data, measurement and scales of measurement rates, ratios and proportion);
  • Undertake descriptive statistics analysis (measures of central tendencies; mean, median, mode and measures of dispersion; standard deviation, and interquartile range);
  • Appreciate inferential Statistics (probability theory, random variables, sampling distributions, binomial distributions, normal distributions, Students’ t-distribution, F-distribution, Chi-square distribution);
  • Undertake statistical estimation (Central Limit Theory and interval estimation);
  • Understand Statistical Hypothesis Testing (introduction to hypothesis testing, one sample test, two sample test);
  • Undertake data management (introduction to data management process, missing data, outlier and documentation).
APPLIED BIOSTATISTICS AND INFORMATICS 1
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