Here is a 95% confidence interval estimate of the proportion of all jobs applicants who test positive when they are tested for drug use: 0.0262 < p < 0.0499 (based on data from quest diagnostics). which of the statements correctly interprets this confidence interval?

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Physics

Demetrius Taylor

Yesterday, 22:30

Here is a 95% confidence interval estimate of the proportion of all jobs applicants who test positive when they are tested for drug use: 0.0262 < p < 0.0499 (based on data from quest diagnostics). which of the statements correctly interprets this confidence interval?

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Emilee Burnett · Answer 1

The confidence interval is the interval provides a range of plausible values for the proportion of all jobs applicants who test positive when they are tested for drug use. We are 95% confident about the interval (0.0262, 0.0499) in the sense that 95% of the intervals calculated in this way will contain the proportion of all jobs applicants who test positive when they are tested for drug use.