This is my first post on this forum. I am rather confused at a question I have been assigned: I have data set with the context of over 65's & healthcare in the US. The variables are:
sid | Subject ID |
age | Age |
famsze | Size of the family |
educyr | Years of education |
totexp | Total medical expenditure |
retire | =1 if retired |
female | =1 if female |
white | =1 if white |
hisp | =1 if Hispanic |
marry | =1 if married |
northe | =1 if North-East area |
mwest | =1 if Mid-West area |
south | =1 if South area (West is excluded) |
phylim | =1 if has functional limitation |
actlim | =1 if has activity limitation |
msa | =1 if metropolitan statistical area |
income | annual household income (in 1000 dollars) |
injury | =1 if condition is caused by an accident/injury |
priolist | =1 if has medical conditions that are on the priority |
totchr | # of chronic problems |
suppins | =1 if has supplementary private insurance |
hvgg | =1 if health status is excellent, good or very good |
0 Response to computing skewness and kurtosis of a binary variable with two mutually exclusive options
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