Is that possible to use inferential statistical techniques when the population of the study is unknown and none probability sampling is sued?

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David Eugene Booth

Strictly speaking the answer is no because statistics depends on having a probability model. If you can do some plots and get an approximate Idea of the population distribution and if you can develop an argument for how the sample might be say a simple random sample from such a population then something approximate might be done. Have you thought of taking a probability sample large enough that the Central Limit theorem applies?. You might refer to the book in the link below. Best wishes, David

https://www.amazon.com/RStudio-Management-Statistical-Analysis-Graphics/dp/1482237369/ref=sr_1_2?ie=UTF8&qid=1475671754&sr=8-2&keywords=R+rstudio

Romer Castillo

Non-probability samples can not be considered as "true" representatives of the population. Hence, no valid inference can be made.

Jochen Wilhelm

Romer, if this would be so, then almost all studies with aminal or humans (e.g. clinical sudies) would be worthless. I don't think that this is the case.