Nominal/Categorical Data

Nominal/Categorical Data

1. Put into a category

   • Dichotomous two categories sex
     • Frequency counts summarise it
       • Mode most frequent category

2. Simple frequencies into percentage to give relative no of ppl n each category

   • Keep no of cat small, combine if necessary
   • Divide frequency of named category by total of frequency in all categories to get % freq of that cat

3. Visual representation

   • Pie charts
     • Show each cat as slice of pie
     • Avoid too many slices, shading, legends
     • Make easy to read
   • Bar charts
     • Show size of each category
       • Height of bar shows cases
       • Should be eual in width,separate, labelled

4. Only be summarised by describing freq of cases in that cat