Question

In a study of the accuracy of fast food drive-through orders, Restaurant A had 206 accurate orders and 57 that were not accurate. a. Construct a 95% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part (a) to this 95% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.198less thanpless than0.299. What do you conclude?

Answer #1

sample proportion, = 0.2167

sample size, n = 263

Standard error, SE = sqrt(pcap * (1 - pcap)/n)

SE = sqrt(0.2167 * (1 - 0.2167)/263) = 0.0254

Given CI level is 95%, hence α = 1 - 0.95 = 0.05

α/2 = 0.05/2 = 0.025, Zc = Z(α/2) = 1.96

CI = (pcap - z*SE, pcap + z*SE)

CI = (0.2167 - 1.96 * 0.0254 , 0.2167 + 1.96 * 0.0254)

CI = (0.167 , 0.266)

b)

The calculated CI for restaurant A overlaps with the CI for
restaurant B.

This means that there is not significant difference in the
proportion of not accurrate orders between two restaurants.

In a study of the accuracy of fast food drive-through orders,
Restaurant A had 332 accurate orders and 58 that were not accurate.
a. Construct a 95% confidence interval estimate of the percentage
of orders that are not accurate. b. Compare the results from part
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that are not accurate at Restaurant B: 0.126less thanpless
than0.206. What do you conclude? a. Construct a 95% confidence
interval. Express the percentages in...

In a study of the accuracy of fast food drive-through orders,
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accurate.
a. Construct a 95% confidence interval estimate of the
percentage of orders that are not accurate.
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What do you conclude?

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What do you conclude?

In a study of the accuracy of fast food drive-through orders,
Restaurant A had 260 accurate orders and 74 that were not accurate.
a. Construct a 95% confidence interval estimate of the percentage
of orders that are not accurate. b. Compare the results from part
(a) to this 95% confidence interval for the percentage of orders
that are not accurate at Restaurant B: 0.198 < p < 0.295.
What do you conclude? a. Construct a 95% confidence interval.
Express the...

In a study of the accuracy of fast food drive-through orders,
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accurate.a. Construct a 95%confidence interval estimate of the
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from part (a) to this 95% confidence interval for the percentage
of orders that are not accurate at Restaurant B:
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a. Construct a 95% confidence interval. Express the percentages
in decimal form.

7.1.19-T In a study of the accuracy of fast food drive-through
orders, Restaurant A had 201 accurate orders and 51 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: 0.175 less
thanpless than0.269. What do you conclude?

In a study of the accuracy of fast food drive-through orders,
Restaurant A had
267
accurate orders and
72
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:
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What do you conclude?

In a study of the accuracy of fast food drive-through orders,
Restaurant A had 210 accurate orders and 67 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
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In a study of the accuracy of fast food drive-through orders,
Restaurant A had
241241
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6565
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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
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In a study of the accuracy of fast food drive-through orders,
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336336
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7171
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