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Large Counts Condition For Proportions
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A researcher collects a sample of $$80$$ subjects and expects a proportion of success to be approximately $$p \approx 0.95$$. A confidence interval is then constructed using the normal approximation. Which of the following describes a potential error in this methodology?

A

He incorrectly assumed the sample was collected using stratified sampling.

B

He misinterpreted the significance level as the margin of error.

C

He ignored that $$n(1-p) = 80\times(1-0.95) = 4$$ is less than 10, making the normal approximation invalid.

D

He should have used the $$t$$-distribution instead of the normal approximation.

E

He miscomputed the sample proportion by using a weighted average.

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