A Type II error is known as the consumer's risk because, when it occurs in quality control settings, the customer is getting a product from a process that is not performing properly Select one O True False
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- ANOVA. Dr. Milgramm is conducting a patient satisfaction survey, rating how well her patients like her on a scale of 1-10. Her patients tend to fall into three categories: “Like a lot”, “like somewhat”, and “dislike a lot”. She believes that she might get different satisfaction scores from people in each group, but (because she's not great at numbers) she wants you to do an ANOVA to be sure. She has collected data from 12 patients (three equal groups) with the following results. Group 1) “Like a lot” Mean: 8 SS: 2 N: df: Group 2) “Like somewhat” Mean: 5 SS: 6 N: df: Group 3) “Dislike a lot” Mean: 2 SS: 4 N: df: Grand Mean: df Within-Group:__________ df Between-Groups:___________ Estimated Variance (S21) for Group 1: _______ Estimated Variance (S22) for Group 2: ___________ Estimated…The University Secretary wants to determine how University grade point average,GPA (highest being 4.0) of a sample of students from the University depends on a student’s high school GPA (HS), age of a student (A), achievement test score (AS), average number of lectures skipped each week (S), gender of a student (where M=1 if a student is male or 0 otherwise), computer or PC ownership of a student (where PC=1 if a student owns a computer or 0 otherwise), the means of transport to school (drive, bicycle or walk; where D=1 if a student drives to campus or 0 otherwise, B=1 if a student bicycles to campus or 0 otherwise), and finally, the subject major of the student (finance, human resource, marketing and accounting; where F=1 if a student majors in finance or 0 otherwise, HR=1 if a student majors in human resource or 0 otherwise, MR=1 if a student majors in marketing or 0 otherwise). Use the correlation matrix and dummy regression output to answer the questions. GPA HS A AS…The University Secretary wants to determine how University grade point average, GPA (highest being 4.0) of a sample of students from the University depends on a student’s high school GPA (HS), age of a student (A), achievement test score (AS), average number of lectures skipped each week (S), gender of a student (where M=1 if a student is male or 0 otherwise), computer or PC ownership of a student (where PC=1 if a student owns a computer or 0 otherwise), the means of transport to school (drive, bicycle or walk; where D=1 if a student drives to campus or 0 otherwise, B=1 if a student bicycles to campus or 0 otherwise), and finally, the subject major of the student (finance, human resource, marketing and accounting; where F=1 if a student majors in finance or 0 otherwise, HR=1 if a student majors in human resource or 0 otherwise, MR=1 if a student majors in marketing or 0 otherwise). Use the correlation matrix and dummy regression output to answer the questions. GPA HS A…
- The U.S. Department of Transportation reported that during November, 83.4% of Southwest Airlines' flights, 75.1% of US Airways' flights, and 70.1% of JetBlue's flights arrived on time (USA Today, January 4, 2007). Assume that this on-time performance is applicable for flights arriving at concourse A of the Rochester International Airport, and that 40% of the arrivals at concourse Aare Southwest Airlines flights, 35% are US Airways flights, and 25% are jetBlue flights. a) Deveiop a joint probability table with three rows (airlines) and twoData from the Bureau of Labor Statistics indicates that in a certain month, 35.7% of the labor force had a high school diploma or fewer years of education, 29.4% had some college or an associate's degree, and 34.9% had a bachelor's degree or more education. Of those with a high school diploma or fewer years of education, 5.5% were unemployed. Of those with some college or an associate's degree, 4.4% were unemployed, and of those with a bachelor's degree or more education, 2.4% were unemployed. Find the probability that a randomly chosen labor force participant has some college or an associate's degree given that he or she is unemployed. 12 The probability is 0 (Type an integer or decimal rounded to three decimal places as needed.)Airline companies recognize that empty seats represent lost revenues that can never be recovered. To avoid losing revenues, the companies often book more passengers than there are seats. Then, when a flight experiences fewer no- shows than expected, some passengers are "bumped" from their flights (are denied boarding). Incentives are provided to encourage passengers to give up their reserved seat voluntarily, but occasionally some passengers are involuntarily bumped from the flight. Obviously, these incidents can reflect poorly on customer satisfaction. Suppose Southwest Airlines would like to estimate the true proportion of involuntarily bumped passengers across all domestic flights in the industry. In a pilot sample of 55 domestic passengers, 5 were involuntarily bumped from their flights. Determine the sample size needed to construct a 98% confidence interval with a margin of error no more than 5% to estimate the true proportion of involuntarily bumped passengers. Which of the…
- The University Secretary wants to determine how University grade point average, GPA (highest being 4.0) of a sample of students from the University depends on a student’s high school GPA (HS), age of a student (A), achievement test score (AS), average number of lectures skipped each week (S), gender of a student (where M=1 if a student is male or 0 otherwise), computer or PC ownership of a student (where PC=1 if a student owns a computer or 0 otherwise), the means of transport to school (drive, bicycle or walk; where D=1 if a student drives to campus or 0 otherwise, B=1 if a student bicycles to campus or 0 otherwise), and finally, the subject major of the student (finance, human resource, marketing and accounting; where F=1 if a student majors in finance or 0 otherwise, HR=1 if a student majors in human resource or 0 otherwise, MR=1 if a student majors in marketing or 0 otherwise). Use the correlation matrix and dummy regression output to answer the questions. GPA HS A AS…In a survey of statistics students, it is found that 54 use RStudio, 43 use SAS, and 32 use Stata, for data analysis. Moreover, 29 use both RStudio and SAS, 18 use both RStudio and Stata, and 21 use both SAS and Stata, for data analysis. Fifteen of these students use RStudio, SAS, and Stata, while nine of them use tools other than R Studio, SAS, and Stata. a. How many students use RStudio only for data analysis? b. How many students use at least two software for data analysis? c. How many students use SAS or Stata, but not both?Which of the following conclusion would represent a Type II error? Concluding that the average voter turnout at presidential election will change when in fact turnout will not /did not change. Concluding that the average voter turnout at presidential election will not change when in fact turnout will / did change.
- A factory uses three production lines to manufacture cans of a certain type. The accompanying table gives percentages of nonconforming cans, categorized by type of nonconformance, for each of the three lines during a particular time period. Line 1 Line 2 Line 3 Blemish 15 12 20 Crack 50 44 40 Pull-Tab Problem Surface Defect Other 21 28 24 10 4 8 8 15 1 During this period, line 1 produced 500 nonconforming cans, line 2 produced 600 such cans, and line 3 was responsible for 200 nonconforming cans. Suppose that one of these 1,300 cans is randomly selected. (a) What is the probability that the can was produced by line 1? (Round your answer to three decimal places.) What is the probability that the reason for nonconformance is a crack? (Round your answer to three decimal places.) (b) If the selected can came from line 1, what is the probability that it had a blemish? (c) Given that the selected can had a surface defect, what is the probability that it came from line 1? (Round your answer to…Please explainOverbooking is the practice of selling more items than are currently available. Overbooking is common in the travel industry; it allows a vehicle (airline, train, bus, cruise ship, hotel, and so forth) to operate at or near capacity, despite cancellations, no-shows, or late arrivals. Overselling is when more confirmed customers show up to use the vehicle than there is space available. When this happens, at least one customer will be denied the service that they paid for, either voluntarily (sometimes with an incentive provided by the supplier) or involuntarily. This is called getting "bumped." Suppose that for a particular flight, an airline believes that 2% of ticket holders do not make the flight. The jet making the trip holds 189 passengers. If the airline sells 192 tickets, what is the probability that the flight will be oversold and they will have to bump a passenger? Assume that cancellations are independent. Calculate the probabilities that one, two, and three people will be…
