Hi, I am new to the subject and I assume that my question is basic...
I have two sets of aggregated data on a population (not a sample)
both data sets are categorical data:
let's say I have age groups such as:
0-17, 18-35, 36-50, 50-65, 65+
and another group of relations:
lawyer, son of a lawyer, spouse of a lawyer, grandchild of a lawyer ex.
keep in mind that I only have the aggregated data - so I only know how many are in each group and I know that the population in hand is the same!
assuming that I don't want to rely on the frequency - can I tell if there is a correlation between the two sets? how strong it is and in what direction? I can get to the p-value of the crossing of each field I think (say the p-value of the population that is 0-17 and grandchildren) but what would be the next steps?
thank you so much!!!
I have two sets of aggregated data on a population (not a sample)
both data sets are categorical data:
let's say I have age groups such as:
0-17, 18-35, 36-50, 50-65, 65+
and another group of relations:
lawyer, son of a lawyer, spouse of a lawyer, grandchild of a lawyer ex.
keep in mind that I only have the aggregated data - so I only know how many are in each group and I know that the population in hand is the same!
assuming that I don't want to rely on the frequency - can I tell if there is a correlation between the two sets? how strong it is and in what direction? I can get to the p-value of the crossing of each field I think (say the p-value of the population that is 0-17 and grandchildren) but what would be the next steps?
thank you so much!!!