Recently, we conducted an online survey and asked people whether you would buy ABC company's products.. The survey contained only one simple question of whether you would buy ABC company's products.. We didn't captured any other customer information (for Privacy issues) except their location. From the data , it seems that we are having a sampling bias as some data is skewed to specific location as the survey population is not spread as per the actual population. This could be because , we didn't cherry pick the respondents (purposely didn't do that) and allowed them to participate at their own will ( Selective bias) as well as we couldn't penetrated to the entire region ( product spread) , so received under coverage sample. My question is that , how can this sample still be used to predict whether a group of population would buy ABC Company's products , if this can be done then how do I take care of sampling bias caused because of 2 things - Selection bias and Under Coverage penetration bias.. I read about this on web and seems like this problem is quite common in doing Survey analysis, but I couldn't really make a break thru on how to adjust the survey population or opinions weights on the final outcome ( Buy Vs Non Buy).. Thanks and appreciate your help ! Sachin
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