Answer:
<em> 98% of confidence interval for the true population</em>
<em>(0.6326 , 0.7674)</em>
Step-by-step explanation:
<u><em>Step(i):-</em></u>
<em>Given sample size 'n' = 250</em>
She surveys 250 individuals and finds that 175 have taken a drug test for work.
<em>sample proportion </em>
<em>level of significance ∝ = 0.05</em>
<em> 98% of confidence interval for the true population is determined by</em>
<em>Z₀.₀₂ = 2.326</em>
<u><em>Step(ii):-</em></u>
<em> 98% of confidence interval for true population is determined by</em>
<em>( 0.7 - 0.0674 , 0.7 + 0.0674)</em>
<em>(0.6326 , 0.7674)</em>
<u><em>Conclusion:-</em></u>
<em>98% of confidence interval for the true population is determined by</em>
<em>(0.6326 , 0.7674)</em>