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Inference Conditions For A Population Proportion
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When constructing a confidence interval for a population proportion, several criteria must be met. Rank the following criteria in the order of their critical importance (from most essential to least essential):
(A) Use a simple random sample (SRS) to ensure unbiased data collection.
(B) Ensure independence by confirming the sample is no greater than 10% of the population.
© Verify the success-failure condition (i.e., both $$n\hat{p}$$ and $$n(1-\hat{p})$$ are at least 10).
(D) Apply the normal model for the sampling distribution.

A

Ensure sample <10%, Use SRS, Apply normal model, Verify success-failure condition

B

Verify success-failure condition, Ensure sample <10%, Use SRS, Apply normal model

C

Apply normal model, Verify success-failure condition, Use SRS, Ensure sample <10%

D

Use SRS, Ensure sample <10% (Independence), Verify success-failure condition, Apply normal model

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