The module gives students the ability to grasp basics of statistics which are essential for prospective researchers and professionals in many disciplines. It touches on various statistical tests and analyses as well as the concept of probability. The module will also provide the basic statistical modelling techniques.

Module Aims

The aim of this module is to equip students with the skills for: solving basic theoretical and empirical probability problems; computing probabilities for various statistical distributions; and interpreting statistical data.

Module Learning Outcomes

Upon completion of this module, the student should be able to:
1.    Describe key descriptive statistical concepts and their applications.
2.    Solve basic theoretical and empirical probability problems using appropriate methods.
3.    Calculate probabilities for binomial and normal distributions. 
4.    Construct and interpret confidence intervals for population parameters.
5.    Perform hypothesis testing to evaluate population means and proportions.
6.    Analyse linear correlations between variables and interpret their significance.
7.    Apply multiple regression. techniques for modelling relationships between variables.
8.    Conduct one-way ANOVA tests to compare group means.
9.    Interpret time series data and evaluate trends and patterns.
10.  Use statistical analysis software efficiently.