In a study of the accuracy of fast food drive-through orders, Restaurant A had 268 accurate orders and 74 that were not accurate. a. Construct a 90% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part (a) to this 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.195

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In a study of the accuracy of fast food drive-through orders, Restaurant A had 268 accurate orders and 74 that were not accurate.

**a.** Construct a 90% confidence interval estimate of the percentage of orders that are not accurate.

**b.** Compare the results from part (a) to this 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: \(0.195 < p < 0.269\). What do you conclude?

**a.** Construct a 90% confidence interval. Express the percentages in decimal form.

\[
\boxed{\ \ \ } < p < \boxed{\ \ \ }
\]

*(Round to three decimal places as needed.)*
Transcribed Image Text:In a study of the accuracy of fast food drive-through orders, Restaurant A had 268 accurate orders and 74 that were not accurate. **a.** Construct a 90% confidence interval estimate of the percentage of orders that are not accurate. **b.** Compare the results from part (a) to this 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: \(0.195 < p < 0.269\). What do you conclude? **a.** Construct a 90% confidence interval. Express the percentages in decimal form. \[ \boxed{\ \ \ } < p < \boxed{\ \ \ } \] *(Round to three decimal places as needed.)*
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