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edited Feb 3, 2022 at 13:45

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Studying some basic distribution problems that always start with "assuming this or that is a normal/exponential distribution", got me curious - how do people even arrive at these assumptions in real life? For those who have worked in industries for some time, what is your experience -

in terms of logistics and process - do companies hire research firms to do those studies on population for example? also
in terms of statistical accuracy - how large do people have to collect the data to be confident? At what point can we stop collecting from population - 1000? 10K? what tests do we run to confirm the distribution types - QQ plots, and? There are various ways to do it as this article describes https://towardsdatascience.com/6-ways-to-test-for-a-normal-distribution-which-one-to-use-9dcf47d8fa93. Are there anything that's more popular than others?

Thank you!

in terms of logistics and process - do companies hire research firms to do those studies on population for example? also
in terms of statistical accuracy - how large do people have to collect the data to be confident? At what point can we stop collecting from population - 1000? 10K? what tests do we run to confirm the distribution types - QQ plots, and? There are various ways to do it as this article describes https://towardsdatascience.com/6-ways-to-test-for-a-normal-distribution-which-one-to-use-9dcf47d8fa93. Are there anything that's more popular than others?

Thank you!

in terms of logistics and process - do companies hire research firms to do those studies on population for example? also
in terms of statistical accuracy - how large do people have to collect the data to be confident? At what point can we stop collecting from population - 1000? 10K? what tests do we run to confirm the distribution types - QQ plots, and? There are various ways to do it as this article describes https://towardsdatascience.com/6-ways-to-test-for-a-normal-distribution-which-one-to-use-9dcf47d8fa93. Are there anything that's more popular than others?

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asked Feb 3, 2022 at 5:39

Peiran Yu

How to confirm population distribution type in industries

in terms of logistics and process - do companies hire research firms to do those studies on population for example? also
in terms of statistical accuracy - how large do people have to collect the data to be confident? At what point can we stop collecting from population - 1000? 10K? what tests do we run to confirm the distribution types - QQ plots, and? There are various ways to do it as this article describes https://towardsdatascience.com/6-ways-to-test-for-a-normal-distribution-which-one-to-use-9dcf47d8fa93. Are there anything that's more popular than others?

Thank you!