In a study of the accuracy of fast food drive-through orders, Restaurant A had 253 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: 0.2080 <p < 0.288
What do you conclude?
a. Construct a 90% confidence interval. Express the percentages in decimal form.
Ans:
a)n=74+253=327
sample proportion=74/(74+253)=0.2263
90% confidence interval for p
=0.2263+/-1.645*sqrt(0.2263*(1-0.2263)/327)
=0.2263+/-0.0381
=(0.1882, 0.2644)
or(18.82% , 26,44%)
b)Confidence intervals for both restaurants are overlapping,so percentage of orders that are not accurate is not different.
In a study of the accuracy of fast food drive-through orders, Restaurant A had 253 accurate...
In a study of the accuracy of fast food drive-through orders, Restaurant A had 257 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: 0.206< p < 0.279. What do you conclude? Express the percentages in decimal form.
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In a study of the accuracy of fast food drive-through orders, Restaurant A had 257 accurate orders and 58 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: 0.164 < p < 0.234 What do you conclude? a. Construct a 90% confidence interval. Express the percentages...
In a study of the accuracy of fast food drive-through orders, Restaurant A had345 accurate orders and 69 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: 0.156 less than 0.209
Need help with both
a. and b.
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