#StackBounty: #estimation #mean #stratification Assumptions required for estimating current mean using a stratified random sample

Bounty: 50

For lack of a better way of presenting my question I will use the example given

  • A company wishes to quickly estimate the mean 2016 property taxes paid by its $1000$ stores
    using a stratified random sample of $n = 100$ stores. Frequency data on 2015 property taxes
    paid by these same $1000$ stores is available in the form of classification by $1000 increments
    and appears in the following table.

(The table is not necessary for the question so I won’t put it here)

What are the assumptions necessary to have about the relationship between 2015 and 2016 property taxes to estimate the 2016 mean? I think they need to share the same variance but I want to be sure what the necessary assumptions are.


Get this bounty!!!

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