In a study of the accuracy of fast food drive-through orders, Restaurant A had
340340
accurate orders and
6060
that were not accurate.
a. Construct a
9595%
confidence interval estimate of the percentage of orders that are not accurate.
b. Compare the results from part (a) to this
9595%
confidence interval for the percentage of orders that are not accurate at Restaurant B:
0.1350.135less than<pless than<0.2010.201.
What do you conclude?
Total accurate orders = 340
Orders that are not accurate = 60
(a) 95% confidence interval = sample proportion +- margin of error
saple proportion of the percentage of orders that are not accurate = 60/400 = 0.15
standard error = sqrt [0.15 * (1-0.15)/400] = 0.01785
critical test statistic = 1.96
MOE = 1.96 * 0.01785 = 0.035
95% confidence interval = 0.15 +- 0.035 = (0.115, 0.185)
Here the given confidence interval coincides with the given confidence interval (0.135, 0.201)
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