Dear all

I have a data set over local municipalities in Denmark and their individual tax rate. What I want to know is the distribution of the decimals, which will say 0-9. I want to know that because on the one hand i would expect a uniform 10% distribution because it should be random whether a local municipality for example needs a tax rate on 22,3 or 22,8 but on the other hand we know from marketing research the the decimals 0, 5 og 9 are overrepresented and if politicians are strategic - like retail owners - then the decimals 0, 5 og 9 will make up over 10% of the total amount of decimals.

Therefore I used the proportion command which gave me 95-percent confidence intervals but not any p-values. Is it possible to get individual p-values for every decimal to identify whether their fraction is significant different from the expected

Down below you see my code and outpout (without standard errors)

Code:
proportion decimal
Code:
decimal proportion logit[95% CI]
               0             0,091       0,082-0,099
               1             0,056       0,049-0,063
               2             0,077       0,069-0,085
               3             0,084       0,076-0,093
               4             0,079       0,071-0,087
               5             0,150       0,140-0,161
               6             0,081       0,073-0,090
               7             0,096       0,088-0,106
               8             0,128       0,118-0,139
               9             0,154       0,144-0,166
Thanks in advance