In a study of the accuracy of fast food drive-through orders, Restaurant A had 298accurate 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: 0.127

In a study of the accuracy of fast food drive-through orders, Restaurant A had 298accurate 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: 0.127

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Related questions

Q: A genetic experiment with peas resulted in one sample of offspring that consisted of 440 green peas…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 224 accurate orders…

Q: a. Construct a 90% confidence interval. Express the percentages in decimal form. <p<(Round to three…

A: It is given that Favourable cases, x = 74Sample size, n = 333Confidence level = 90%

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 304 accurate orders…

A: a.

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 221 accurate orders…

Q: Of the 300 visitors polled,O liked to ski or snowboard. (Type a whole number.)

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 241 accurate orders…

A: We have to find given confidence interval......

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 254 accurate orders…

A: The CI for the true mean population is, p^±Zp^(1-p^)nwhere p^=sample proportion n=sample…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 243 accurate orders…

Q: A genetic experiment with peas resulted in one sample of offspring that consisted of 449 green peas…

A: Note- Since both are different questions, so according to our policy we can answer only one…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 221 accurate orders…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 207 accurate orders…

A: a) We have calculated it using the TI84 Here,n=275 and x=67 Now, TI84 Command is: CLICK on…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 214 accurate orders…

Q: 38 accurate orders and 60 that were not accurate. a. Construct a 90 % confidence interval…

A: (a) Total orders = 238+60=298 The sample proportion is computed as follows, The corresponding…

Q: a. Construct a 95% confidence interval. Express the percentages in decimal form. O<p<O (Round to…

A: a. The sample proportion is, p^=xn=72248=0.2903 The sample proportion is 0.2903. Computation of…

Q: Bad Dawgz is hosting its annual hot dog eating competition which involves eating 14 hot dogs, six…

A: ****Run the code in r(a)

Q: study of the accuracy a. Construct a 90% confidence interval estimate of the percentage of orders…

A: Find z-critical value:…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 268 accurate orders…

A: Given data: Restaurant A: Number of accurate orders = 268 Number of orders that are not accurate =…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 306 accurate orders…

A: Sample size = n =306+73 = 379 Sample number of events = x = 73 Sample proportion = p̂ = x/n =…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 233 accurate orders…

A: Given: x=71n=233+71=304

Q: a study of the accuracy of fast food drive-through orders, Rest Construct a 90% confidence interval…

A: Solution : For restaurant A : 329 accurate orders and 60 not accurate. n = 329 +60 = 389 x = 60…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 341 accurate orders…

Q: 2 In a certain normal distribution, 1,25%. öf the area lies to the left. of 42 and 1.25% lies to the…

A: Given, The distribution is normal. 1.25% of the area left to the 42 and 1.25 of the area right to…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 317 accurate orders…

Q: The following are body mass index (BMI) scores measured in 12 patients who are free of diabetes and…

A: Sample mean and sample standard deviation: Sample mean and sample standard deviation are calculated…

Q: study of the accuracy of fast food drive-through orders, Restaurant A had 310 accurate orders and…

A: From the given information we find the solution.

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 211 accurate orders…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 222 accurate orders…

A: In a study of the accuracy of fast food drive-through orders, Restaurant A had 222 accurate orders…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 226 accurate orders…

A: a. Restaurant A has 226 accurate orders and 59 that are not accurate. Total number of orders…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 274 accurate orders…

A: Given Information: Proportion of not accurate orders (p) = 6565+274 = 0.1917 Sample size (n) = 339…

Q: not accu b. Compare the results from part (a) to this 95% confidence interval for the percentage of…

A: Given In a study of the accuracy of fast food drive-through orders, Restaurant A had 207 accurate…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 347 accurate orders…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 236accurate orders…

A: Introduction: The 100 (1 – α) % confidence interval for the population proportion, p is: Here, n is…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 317accurate orders…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 270 accurate orders…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 343 accurate orders…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 246 accurate orders…

A: From the provided information, Sample size (n) = 246 + 64 = 310 From which 64 orders are inaccurate.…

Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 322 accurate orders…

A: Here from the given information Restaurant A had 322 accurate and 74 inaccurate orders.

Concept explainers

Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

Question

In a study of the accuracy of fast food drive-through orders, Restaurant A had 298accurate 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:

0.127<p<0.191.

What do you conclude?

a. Construct a 90% confidence interval. Express the percentages in decimal form. ___<p<___

(Round to three decimal places as needed.) (This is used directly in response to B).

Definition Definition Method in statistics by which an observation’s uncertainty can be quantified. The main use of interval estimating is for describing a range that is made by transforming a point estimate by determining the range of values, or interval within which the population parameter is likely to fall. This range helps in measuring its precision.

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step by step

Solved in 2 steps with 1 images

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Point Estimation, Limit Theorems, Approximations, and Bounds$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.

Similar questions

In a study of the accuracy of fast food drive-through orders, RestaurantA had 315 accurate orders and 68 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: 0.164
In a study of the accuracy of fast food drive-through orders, Restaurant A had 334 accurate orders and 54 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: 0.127 < p < 0.187. What do you conclude? a. Construct a 90% confidence interval. Express the percentages in decimal form. |
In a study of the accuracy of fast food drive-through orders, Restaurant A had 227 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: 0.185
In a study of the accuracy of fast food drive-through orders, Restaurant A had 277 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: 0.151<p<0.233. What do you conclude? a. Construct a 95% confidence interval. Express the percentages in decimal form. 0.1300.130<p<0.2110.211 (Round to three decimal places as needed.) b. Choose the correct answer below. A. No conclusion can be made because not enough information is given about the confidence interval for Restaurant B. B. The lower confidence limit of the interval for Restaurant B is higher than the lower confidence limit of the interval for Restaurant A and the upper confidence limit of the interval for Restaurant B is also higher than the upper confidence limit of…
In a study of the accuracy of fast food drive-through orders, Restaurant A had 310 accurate orders and 62 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: 0.142
In a study of the accuracy of fast food drive-through orders, Restaurant A had 245 accurate orders and 52 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: 0.153 < p< 0.236. 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 275 accurate orders and 72 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: 0.181
In a study of the accuracy of fast food drive-through orders, Restaurant A had 342 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: 0.165
please answer
In a study of the accuracy of fast food drive-through orders, Restaurant A had 231 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: 0.209
In a study of the accuracy of fast food drive-through orders, Restaurant A had 249 accurate orders and 59 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: 0.169
In a study of the accuracy of fast food drive-through orders, Restaurant A had 233 accurate orders and 66 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: 0.207 < p < 0.283. What do you conclude? a. Construct a 90% confidence interval. Express the percentages in decimal form.