Suppose you have a population of count data, i.e., 1,2,3,…,k, you have a sample of the population of size n, and you have a confidence interval for the proportion of 1's , 2's,\dotsn's in the population. Is it possible to construct a confidence interval for the sum of the counts in your sample.

Haiphongum

Haiphongum

Answered question

2022-09-25

Construct confidence interval from proportions
Suppose you have a population of count data, i.e., 1,2,3,…,k, you have a sample of the population of size n, and you have a confidence interval for the proportion of 1's , 2's,\dotsn's in the population. Is it possible to construct a confidence interval for the sum of the counts in your sample.
For example,
Suppose you have a sample of size 1000 from a population of count data that can take any value from 1 to 5 and the
95% CI for 1's is [.75,.76]
95% CI for 2's is [.12,.13]
95% CI for 3's [0.04,.045]
95% CI for 4's is [.048,.058]
95% CI for 5's is [.03,.035]
Can I construct a 95 percent confidence interval for n μ, where n = 1000.

Answer & Explanation

Abdiel Nelson

Abdiel Nelson

Beginner2022-09-26Added 6 answers

Step 1
Roughly, yes. For example, take the CI for the proportion of 4's. It is centered at 0.053. If these are the 'usual' kind of CIs used for a sample of size n = 1000 ,, then the number of 4's in the sample must have been 0.053 ( 1000 ) = 53.
Step 2
In some cases, because the endpoints are rounded, you will not get an integer answer, but you can come very close to finding the frequency f i with which each of the digits i for i = 1 , , 5 appeared among 1000. From that information you can construct a CI based on the whole sample nearly as well as if you had the original data.
Just what it means to get a CI for the "sum" is unclear. Ordinarily, in such a situation one would want a CI for the population mean. Maybe your final sentence should have been "construct a CI for the population mean μ based on the sum of the counts." (For samples of size n, the expected total would be n μ .. You could get a CI for that.)

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