Hi, I have seven categories, 'monday','tuesday','wednesday'...
Each category contains count data, however I have a different number of observations on each day - some days have 10 observations, some 12, some 21.
I want to test to see if the day of the week has an influence on the count and decided a Chi-Square test is most appropriate (...good choice?).
I am unsure what to use as observed and expected in the test. Should I average the count on each day and use this as the observed values? Or should I sum the observed values on each day and then adjust the expected values to reflect the difference in exposure?
Any help would be really appreciated,
Thanks
Each category contains count data, however I have a different number of observations on each day - some days have 10 observations, some 12, some 21.
I want to test to see if the day of the week has an influence on the count and decided a Chi-Square test is most appropriate (...good choice?).
I am unsure what to use as observed and expected in the test. Should I average the count on each day and use this as the observed values? Or should I sum the observed values on each day and then adjust the expected values to reflect the difference in exposure?
Any help would be really appreciated,
Thanks