Question
In: Statistics and Probability
In a study of the accuracy of fast food drive-through orders, Restaurant A had 335 accurate...
In a study of the accuracy of fast food drive-through orders, Restaurant A had
335 accurate orders and 53 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: 0.123<p<0.186. What do you conclude?
a. Construct a 95% confidence interval. Express the percentages in decimal form.
<p<
(Round to three decimal places as needed.)
Solutions
orchestra answered 2 years agoRelated Solutions
study of the accuracy of fast food drive through orders, Restaurant A had 339 accurate orders...
study of the accuracy of fast food drive through
orders, Restaurant A had 339 accurate orders and 57 that were not
accurate. construct a 90% confidence interval estimate of the
percentage of orders not accurate. compare the results from part
(a) to the 90% confidence interval for the percentage of orders
that are not accurate at Restaurant B: 0.134<p<0.184. what do
you conclude?
In a study of the accuracy of fast food drive-through orders, Restaurant A had 257 accurate...
In a study of the accuracy of fast food drive-through orders,
Restaurant A had 257 accurate orders and 73 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: 0.202less thanpless
than0.284. 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, Restaurant A had 284 accurate...
In a study of the accuracy of fast food drive-through orders,
Restaurant A had 284 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 Restaurant B: 0.172 < p< 0.237.
What do you conclude? Please help.
In a study of the accuracy of fast food drive-through orders, Restaurant A had 236236 accurate...
In a study of the accuracy of fast food drive-through orders,
Restaurant A had
236236
accurate orders and
6868
that were not accurate.a. Construct a
9090%
confidence interval estimate of the percentage of orders that
are not accurate.b. Compare the results from part (a) to this
9090%
confidence interval for the percentage of orders that are not
accurate at Restaurant B:
0.2090.209less than<pless than<0.2790.279.
What do you conclude?
a. Construct a
9090%
confidence interval. Express the percentages in decimal
form....
In a study of the accuracy of fast food drive-through orders, Restaurant A had 286 accurate...
In a study of the accuracy of fast food drive-through orders,
Restaurant A had 286 accurate orders and 70 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: 0.176less thanpless
than0.248. What do you conclude?
In a study of the accuracy of fast food drive-through orders, Restaurant A had 240 accurate...
In a study of the accuracy of fast food drive-through orders,
Restaurant A had 240 accurate orders and 65 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: 0.195less thanpless
than0.283. What do you conclude?
Construct a 95% confidence interval. Express the percentages in
decimal...
In a study of the accuracy of fast food drive-through orders, Restaurant A had 330330 accurate...
In a study of the accuracy of fast food drive-through orders,
Restaurant A had
330330
accurate orders and
7474
that were not accurate.
a. Construct a
9090%
confidence interval estimate of the percentage of orders that
are not accurate.
b. Compare the results from part (a) to this
9090%
confidence interval for the percentage of orders that are not
accurate at Restaurant B:
0.1710.171less than<pless than<0.2320.232.
What do you conclude?
In a study of the accuracy of fast food drive-through orders, Restaurant A had 206 accurate...
In a study of the accuracy of fast food drive-through orders,
Restaurant A had 206 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: 0.205 < p < 0.283.
What do you conclude?
In a study of the accuracy of fast food drive-through orders, Restaurant A had 205 accurate...
In a study of the accuracy of fast food drive-through orders,
Restaurant A had 205 accurate orders and 63 that were not accurate.
a.
Construct a 90% confidence interval estimate of the percentage
of orders that are not accurate.
In a study of the accuracy of fast food drive-through orders, Restaurant A had 211 accurate...
In a study of the accuracy of fast food drive-through orders,
Restaurant A had 211 accurate orders and 56 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: 0.188<p<0.271
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