VEE Mathematical Statistics
Study sampling, estimation, confidence intervals and hypothesis testing, the subject area the SOA requires for its VEE Mathematical Statistics credit.
Learning Objectives
4 objectivesExplain random sampling, statistical inference and sampling distributions.
Estimate parameters, using maximum likelihood, and judge estimators by bias, variance and related properties.
Build confidence intervals for means, differences of means, variances and proportions.
Carry out hypothesis tests, including for means, variances, contingency tables and goodness of fit.
Programme Outline
3 topicsSampling and Estimation
Random sampling, sampling distributions, maximum likelihood estimation, and the properties of estimators.
Confidence Intervals
Intervals for means, differences between means, variances and proportions.
Hypothesis Testing
Testing hypotheses, including the Neyman-Pearson lemma, significance and power, likelihood ratio tests, and tests for means, variances, contingency tables and goodness of fit.
Hands-On Resources
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