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

How to compare two groups with only two measurements?

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What's the best way to measure growth rates in House sparrow chicks from day 2 to day 10?

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How to calculate average trend in maximum annual NDVI from MODIS?

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New Journal, "Integrative Psychological and Behavioral Science" -- do you not know, and have you not seen, this done before?

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Does anyone know HRM channel in a 2 plex QIAGEN Rotor- Gene Q qPCR can be used as a separate channel?

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How can I make stacked bar graph with scatter plot?

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How to perform statistical analysis of coefficients extracted from transform techniques?

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Is there a deep reason for using the squared modulus of the wave function as the probability density of the existence of the particle?

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The Shannon's index is inversely proportional to Simpson's index (1-D)?

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VIF very high, but correlation is low and coefficient is significant. Which one whould I choose?

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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.

Sudeep C B

Inferential statistics, unlike descriptive statistics, is a study to apply the conclusions that have been obtained from one experimental study to more general populations. This means inferential statistics tries to answer questions about populations and samples that have never been tested in the given experiment.

Inferential statistics infer from the sample to the population, they determine the probability of characteristics of a population based on the characteristics of your sample, they also help assess the strength of the relationship between your independent variables, and your dependent (effect) variables. With inferential statistics, you can take the data from any samples and make generalizations about a population.

There are two main areas in case of inferential statistics, estimating parameters. This means taking a statistic from your sample data and using it to say something about a population parameter and hypothesis tests, this is where you can use sample data to answer research questions.

Regards