Actuarial Statistics (CS1) Exam
Build the statistical grounding actuaries use, from data analysis and distributions to regression and Bayesian methods.
Learning Objectives
5 objectivesDescribe the purpose of data analysis and carry out exploratory data analysis.
Work with univariate and joint distributions, expectations, generating functions and the central limit theorem.
Construct estimators and discuss their properties, calculate confidence and prediction intervals, and apply hypothesis tests and goodness of fit.
Understand and use linear regression and generalised linear models.
Explain the fundamentals of Bayesian statistics and calculate Bayesian estimators.
Programme Outline
5 topicsData Analysis
The purpose and function of data analysis, and exploratory data analysis.
Random Variables and Distributions
Univariate and joint distributions, expectations and conditional expectations, generating functions, the central limit theorem, and random sampling.
Statistical Inference
Estimators and their properties, confidence and prediction intervals, hypothesis testing and goodness of fit.
Regression Theory and Applications
Linear regression models and generalised linear models.
Bayesian Statistics
The fundamental concepts of Bayesian statistics and Bayesian estimators.
Hands-On Resources
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