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Answer:
For all samples of size 400 from this population, the mean of all resulting sample proportions of cell phone screens with a screen defect is 0.05.
Step-by-step explanation:
College Board
Using the Central Limit Theorem, it is found that the correct option is:
C For all samples of size 400 from this population, the mean of all resulting sample proportions of cell phone screens with a screen defect is 0.05.
By the Central Limit Theorem, for a proportion p in a sample of size n, the mean of the sampling distribution of sample proportions is [tex]\mu = p[/tex], while the standard error is [tex]s = \sqrt{\frac{p(1 - p)}{n}}[/tex
In this problem, the mean of the sampling distribution of sample proportions is 0.05, that is, the mean proportion of all samples, hence, the correct option is C.
A similar problem is given at https://brainly.com/question/16257233