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Then he delves into modelling reality itself, examining models with only manifest variables, the general causal model, ad incomplete and non-normal data.
Coverage includes an overview of basic issues in quantitative research, research design and sampling, questionnaire design and coding, describing data properly, testing relationships between variables using standard statistical tools, checking whether different sets of data are significantly different from each other, and statistical tools for the analysis of non-normal data.
To compare continuous, non-normal data (ie, hospital cost and LOS) between cancer patients and controls, a Mann-Whitney U test was utilized.
 
 
 
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