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Confidence Interval Critical Value Error
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A researcher surveying 550 young adults finds a sample proportion of $$\hat{p} = 0.42$$ and attempts to create a 99% confidence interval. However, she mistakenly uses a z-value of $$2.33$$ instead of the appropriate critical value of $$2.576$$. What experimental mistake did she commit?

TABLE: Confidence Interval Calculation

| Sample Proportion | z-value used | Correct z-value |
| 0.42 | 2.33 | 2.576 |

A

She misinterpreted the confidence level as exceeding 99%.

B

She should have used the $$t$$-distribution since the population standard deviation is unknown.

C

She incorrectly calculated the standard error instead of the critical value.

D

She confused the sample size with the margin of error.

E

She used the incorrect critical z-value for a 99% confidence level.

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