Question

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 (a) to this 95% confidence interval for the percentage of orders 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 decimal form.

Answer #1

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,
Restaurant A had 270 accurate orders and 64 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:
0.165<p<0.259 What do you conclude?
a. Construct a 95% confidence interval. Express the percentages
in decimal form.

In a study of the accuracy of fast food drive-through orders,
Restaurant A had 245 accurate orders and 71 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: 0.204< p < 0.288.
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 had 296 accurate orders and66 that were not
accurate.
a. Construct a 90% confidence interval estimate of the
percentage of orders that are not accurate. Express the percentages
in decimal form.
b. Compare the results from part (a) to this 90 % confidence
interval for the percentage of orders that are not accurate at
Restaurant B:0.165 <p <0.237 What do you conclude?

In a study of the accuracy of fast food drive-through orders,
Restaurant A had 304 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: 0.1730.173less than<pless
than<0.2470.247. What do you conclude?
Express the percentages in decimal form.

In a study of the accuracy of fast food drive-through orders,
Restaurant A had 221 accurate orders and 64 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: 0.196<p<0.304.
What do you conclude?

In a study of the accuracy of fast food drive-through orders,
Restaurant A had 296 accurate orders and 61 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: 0.154 < p < 0.225.
What do you conclude?

In a study of the accuracy of fast food drive-through orders,
Restaurant A had 241 accurate orders and 70 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: 0.208less thanpless
than0.297. What do you conclude?
a. Construct a 95% confidence interval. Express the percentages
in...

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:
0.1950 <0.262
What do you conclude?

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