HLTH201 Lecture Notes - Lecture 1: Ronald Fisher, Categorical Variable, Design Of Experiments
19 Aug 2018
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Document Summary
30th of june 2018: unit overview, excel, data, summarising and graphing. Categorical data: introduction of the early centuries, bias: The need for carefully designed experiments that avoided biases such as confounding of factors (various factors contributing: experiments: In the 1930s- sir ronald fisher developed strict methology for the conduct of agricultural trials. Fisher considered the importance of randomization, where subjects are randomly allocated to different treatments. He ensures that all subjects available to the study were able to be selected (randomization) which reduces bias objectives: research studies: A research study is a scientific way of answering a question of interest. The most appropriate type of graphical display will depend on the data/types. To summarise categorical data frequency table showing the counts or proportions in each group. To summarise numerical data summary table showing measures of centres and measures of spread: summarising data, comments: Comments on a single categorical variable comments would be about the most/less common categories.
