QUESTION IMAGE
Question
a high school wants to determine the difference between the proportions of seniors enrolled in ap classes and those enrolled in regular classes who plan on going to college next year. a srs of 85 seniors enrolled in ap classes is taken and 70 plan on enrolling in college next year, whereas, in an srs of 72 seniors enrolled in regular classes, 63 plan on going to college next year. construct a 95% confidence interval to estimate the difference in the proportion of seniors enrolled in ap classes and those enrolled in regular classes who plan on going to college next year. a (-0.089, 0.163) b (-0.066, 0.112) c (-0.115, 0.165) d (-0.038, -0.135) e (-0.145, -0.007)
Step1: Define sample proportions
Let $p_1$ = proportion of AP seniors going to college, $p_2$ = proportion of regular seniors going to college.
$n_1=85$, $x_1=70$, so $\hat{p}_1=\frac{70}{85}\approx0.8235$
$n_2=72$, $x_2=63$, so $\hat{p}_2=\frac{63}{72}=0.875$
Difference: $\hat{p}_1-\hat{p}_2=0.8235-0.875=-0.0515$
Step2: Find critical z-value
For 95% confidence, $z^*=1.96$
Step3: Calculate standard error
Step4: Compute margin of error
$ME=z^*\times SE=1.96\times0.0568\approx0.1113$
Step5: Find confidence interval
Lower bound: $-0.0515-0.1113\approx-0.1628$
Upper bound: $-0.0515+0.1113\approx0.0598$
Rounding gives (-0.163, 0.060), which matches option A.
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A. (-0.163, 0.060)