An Introduction to Statistical Methods and Data Analysis
7th Edition
ISBN: 9781305269477
Author: R. Lyman Ott, Micheal T. Longnecker
Publisher: Cengage Learning
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A risk manager is analyzing a 1-day 98% VaR model. Assuming 252 days in a year, what is the maximum number of daily losses exceeding the 1-day 98% VaR that is acceptable in a 1-year backtest to conclude, at a 95% confidence level, that the model is calibrated correctly?
a)5
b)9
c)10
d)12
a. Locate the 95% prediction interval for driving accuracy (y) on the printout, and give a practical interpretation of the result.
b. Locate the 95% confidence interval for mean driving accuracy (y) on the printout, and give a practical interpretation of the result.
c. If you are interested in knowing the average driving accuracy of all golfers who have a driving distance of 300 yards, determine which of the intervals is relevant. Explain.
The figure to the right shows the results of a survey in which
1005
adults from Country A,
1023
adults from Country B,
995
adults from Country C,
1020
adults from Country D, and
1012
adults from Country E were asked whether national identity is strongly tied to birthplace.
Country A37%22%27%49%Country BCountry CCountry DCountry E10%
Construct a
99%
confidence interval for the population proportion of adults who say national identity is strongly tied to birthplace for each country listed.
The
99%
confidence interval for the proportion of adults from Country B who say national identity is strongly tied to birthplace is
enter your response here
,enter your response here
.
(Round to three decimal places as needed.)
Chapter 11 Solutions
An Introduction to Statistical Methods and Data Analysis
Ch. 11.9 - Prob. 1ECh. 11.9 - Refer to Exercise 11.1.
Plot the equation in the...Ch. 11.9 - Use the data given here to answer the following...Ch. 11.9 - Prob. 4ECh. 11.9 - Use the output from Minitab for these data to...Ch. 11.9 - A food processor was receiving complaints from its...Ch. 11.9 - An online retailer needs to manage the amount of...Ch. 11.9 - A manufacturer of cases for sound equipment...Ch. 11.9 - Refer to the data of Exercise 11.7. a. Calculate a...Ch. 11.9 - Refer to the data of Exercise 11.8.
Calculate a...
Ch. 11.9 - Refer to the data of Exercise 11.8.
Calculate a...Ch. 11.9 - Athletes are constantly seeking measures of the...Ch. 11.9 - A firm that prints automobile bumper stickers...Ch. 11.9 - A chemist is interested in determining the weight...Ch. 11.9 - Refer to Exercise 11.22 to complete the following....Ch. 11.9 - Prob. 40ECh. 11.9 - A survey of MBA, graduates of a business school...Ch. 11.9 - Refer to the data in Exercise 11.44.
Determine the...Ch. 11.9 - There has been an increasing emphasis in recent...Ch. 11.9 - An air conditioning company responds to calls...Ch. 11.9 - Refer to Exercise 11.61. a. Calculate the...Ch. 11.9 - Refer to Exercise 11.61.
Test for lack of fit for...Ch. 11.9 - Refer to Exercise 11.61.
Compute the standard...Ch. 11.9 - Prob. 93SE
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- Suppose that a safety group surveyed 1,100 drivers. Among those surveyed, 65% said that careless or aggressive driving was the biggest threat on the road, and 25% said that cell phone usage by other drivers was the driving behavior that annoyed them the most. Based on these data and assuming that the sample was a simple random sample, construct and interpret a 95% confidence interval estimate for the true proportion in the population of all drivers who are annoyed by cell phone users. The confidence interval estimate is ??––––––??> (Round to three decimal places as needed. Use ascending order.) Interpret the confidence interval estimate. A. There is a 0.95 probability that the population proportion of drivers who are annoyed by cell phone users is in the interval. B. There is 95% confidence that the population proportion of drivers who are annoyed by cell phone users is in the interval. C. There is 95% confidence that the population proportion…arrow_forwarda) Calculate a two-sided 95% confidence interval for the population mean. b) In addition, predict the ACT score of a student by calculating a 90% confidence interval.arrow_forward
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