Sample size allocation. Suppose we are testing the hypotheses
H0:μ1 = μ2
H1:μ1 not equal μ2

where σ12 and σ22 are known. Resources are limited, and consequently the total sample size n1 + n2 = N. How should we allocate the N observations between the two populations to obtain the most powerful test?

The test statistic

Step-by-step explanation:

Explanation:-

Let x₁⁻ be the mean of the sample of size n₁ from a population mean μ₁ and standard deviation 'σ₁

Let  x₂⁻ be the mean of the sample of size n₂ from a population mean μ₂ and standard deviation 'σ₂'

Null hypothesis : H0:μ₁ = μ₂

Alternative hypothesis : H1:μ₁ ≠μ₂

To test whether there is any significant difference between x₁⁻ and x₂⁻  we have use test statistic

Here

a

step-by-step explanation:

i think the answer is d im not sure