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Inference - STA4812

Honours Year module NQF level: 8 Credits: 12
Module presented in English Module presented online
Co-requisite: STA4801
Purpose: About this module: There are three main subdivisions within statistics: efficient summarization, tabulation and graphical display of data; design of experiments; statistical inference. Data summarization was historically the first statistical activity. Experimental design is of crucial importance before data are collected. However, it is statistical inference which has seen most research and practical application in recent years, and it is the theory behind inference which forms the study material of this module. In statistical inference we use a sample of data to draw inferences about some aspect of the population (real or hypothetical) from which the data were taken. The most frequent approach to statistics is followed in this module. Abbreviated contents: Selected topics from statistical inference namely sufficiency, minimal sufficiency, Neyman-Pearson Lemma, Cramer-Rao inequality, uniformly most powerful tests, comparison of estimators, prior distributions, etc. are included in the study material.