Transcription of Data Analysis Basics: Variables and Distribution
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Data Analysis Basics: Variables and Distribution
North Carolina Center for Public Health Preparedness The North Carolina Institute for Public Health Data Analysis basics : Variables and Distribution VOLUME 3, ISSUE 5 How do you know whether a chemi-cal spill in a factory caused illness in the workers? How do you know what food caused an outbreak of salmo-nella in your community? In a field investigation, you often want to know whether a particular exposure ( , a chemical spill) is associated with any possible illness, or which of many possible expo-sures is associated with a particular illness ( , what was the potential cause of an outbreak of salmonella).
coded. You can make it clear by creating a data dictionary as a separate file to accompany the dataset. Similarly, we might code the dichotomous variable for sex: 0 = Female 1 = Male Dichotomous variables can also be dummy variables. A “dummy” variable is any variable that is coded to have 2 levels, like the yes/no variables and male/female ...
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