How to calculate probability of being uninsuredDear all,
Fairly new to JMP, so my knowledge is pretty limited.
I have a study to find the probability of being uninsured by education background.
I have data set with consists of the insurance status (yes/none) and education profile (no high school degree, high school degree, college degree, advanced degree).
I need help to perform in JMP or SAS with no high school degree as the reference. I wish the result as the table which attached below.
Any and all help is appreciated.
OtherRe: How to calculate probability of being uninsuredHi @henggar313
It sounds like what you want to do is a Logistic Fit in JMP. Your insured column should be nominal and your education should be numeric. That way, you can get a column function that predicts the insured outcome based on education level. Each row should be an individual with their insurance status and degree listed. I made a mock table (attached). After you run the logistic fit, you can save the formula to the data table and use that to predict future events.
This is at least the easiest way to go about it at first. There are other ways that can be more complicated, but it doesn't sound like you need those options.
If this isn't on the right track of what you're after, can you explain more?
Hope this helps!,
DS
Re: How to calculate probability of being uninsuredHi @henggar313 ,
When you say p value, do you mean a significance test p-value? like p < 0.00276?
Or, do you mean probability of the outcome "yes" or "no"? The two columns Prob[No] and Prob[Yes] give the probability of that outcome given the Logist function (1/(1+e^-x)), where "x" is the linear function found from the Logistic fit of the data.
Otherwise, I'm not sure I follow what it is you need.
DS
