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Description
This module aims to provide students with the tools to apply basic statistical theory and mathematical knowledge to solve problems in health research. It is intended for students registered on certain undergraduate programmes offered by the 新香港六合彩开奖结果Faculty of Medical Sciences.
Intended Learning Outcomes
- have an understanding of听basic statistical methods used in the design and analysis of studies in health research;
- be able to apply these methods and to interpret the corresponding results.
Applications - The statistical methods covered are useful in the routine analysis of scientific methods, as might be encountered in other modules.
Indicative Content - Probability: Joint probability, conditional probability, independence and mutual exclusivity; Discrete probability distributions including the binomial and Poisson distributions; Continuous distributions including the normal, t, chi-squared and F distributions; Distribution summary measures such as the mean and variance. Statistics: Sample summary measures such as the mean, variance, median and quartiles; Hypothesis testing including the z-, two-sample t-, paired t- and 蠂2-tests, and ANOVA; Confidence intervals including those for the mean, the difference between means and a proportion; The Central Limit Theorem. Linear regression: Measures of correlation; The line of best fit; Simple and multiple linear regression.
Key Texts - Available from .
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 8th April 2024.
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