Assume that for an ad campaign to be successful, at least 83% ofthose seeing a television commercial must be able to recall the name ofthe company featured in the commercial one hour after viewing thecommercial. Before distributing an ad campaign nationally, anadvertising company plans to show the commercial to a randomsample of 15 people. It will also show the same people two additionalcommercials for different products or businesses. Complete parts athrough c.a. Assuming that the advertisement will be successful (83% will be ableto recall the name of the company in the ad), what is the expectednumber of people in the sample who will recall the company featured inthe commercial one hour after viewing the three commercials?The expected number of people is 12.45.(Type an integer or a decimal. Do not round.)b. Suppose that in the sample of 15 people, 9 were able to recall thename of the company in the commercial one hour after viewing. Basedon the premise that the advertising campaign will be successful, what isthe probability of 9 or fewer people being able to recall the companyname?The probability is(Round to four decimal places as needed.) Over a period of three months during one year, an airline's rate ofinvoluntarily denying boarding was 0.85 per 10,000 passengers.Complete parts (a) through (c) below.a. What is the probability that in the next 10,000 passengers, there willbe no one involuntarily denied boarding?The probability that there will be no one involuntarily denied boarding is0.4274.(Round to four decimal places as needed.)b. What is the probability that in the next 10,000 passengers, there willbe at least one person involuntarily denied boarding?The probability that there will be at least one person involuntarilydenied boarding is 0.5726.(Round to four decimal places as needed.)c. What is the probability that in the next 10,000 passengers, there willbe at least two persons involuntarily denied boarding?The probability that there will be at least two persons involuntarilydenied boarding is.(Round to four decimal places as needed.)

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A local university boasts that its School of Engineering attracts the top students from around the country. As proof of this claim, they say that the average Math SAT score for their students is higher than the average Math SAT score of 610 at most other Engineering schools. A random sample of Engineering students is taken, and their Math SAT scores are recorded in this data Data: Engineer Business 640 537 709 525 521 552 642 474 646. 575 620 515 534 626 664 550 681 558 652 482 623 630 645 575 549. 541 625 576 621 462 660 521 626 467 610 562 605 600 665. 538 567 669 644 666 705 555 661 651 Questions: a. Perform the appropriate test of hypothesis and paste the session window output below. b. What is the value of the test statistic? c. What is the p-value of the test? d. Estimate the average Math SAT score of this school’s engineering students using a 90% confidence interval.
Assume that for an ad campaign to be successful, at least 79% of those seeing a television commercial must be able to recall the name of the company featured in the commercial one hour after viewing the commercial. Before distributing an ad campaign nationally, an advertising company plans to show the commercial to a random sample of 22 people. It will also show the same people two additional commercials for different products or businesses. Complete parts a through c. a. Assuming that the advertisement will be successful (79% will be able to recall the name of the company in the ad), what is the expected number of people in the sample who will recall the company featured in the commercial one hour after viewing the three commercials? The expected number of people is 17.38 (Type an integer or a decimal. Do not round.) b. Suppose that in the sample of 22 people, 11 were able to recall the name of the company in the commercial one hour after viewing. Based on the premise that the…
A television station wishes to study the relationship between viewership of its 11 p.m. news program and viewer age (18 years or less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television viewers in each age group is randomly selected, and the number who watch the station’s 11 p.m. news is found for each sample. The results are given in the table below. Age Group Watch11 p.m. News? 18 or less 19 to 35 36 to 54 55 or Older Total Yes 37 46 59 83 225 No 213 204 191 167 775 Total 250 250 250 250 1,000 (a) Let p1, p2, p3, and p4 be the proportions of all viewers in each age group who watch the station’s 11 p.m. news. If these proportions are equal, then whether a viewer watches the station’s 11 p.m. news is independent of the viewer’s age group. Therefore, we can test the null hypothesis H0 that p1, p2, p3, and p4 are equal by carrying out a chi-square test for independence. Perform this test by setting α = .05. (Round your answer to 3 decimal places.)…
The National Football League (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the following data show the average number of passing yards per attempt (Yards/Attempt) and the percentage of games won (WinPct) for a random sample of 10 NFL teams for the 2011 season.† Team Yards/Attempt WinPct Arizona Cardinals 6.5 50 Atlanta Falcons 7.1 63 Carolina Panthers 7.4 38 Chicago Bears 6.4 50 Dallas Cowboys 7.4 50 New England Patriots 8.3 81 Philadelphia Eagles 7.4 50 Seattle Seahawks 6.1 44 St. Louis Rams 5.2 13 Tampa Bay Buccaneers 6.2 25 (a) Develop a scatter diagram with the number of passing yards per attempt on the horizontal axis and the percentage of games won on the vertical axis. A scatter diagram has 9 points plotted on it. The horizontal axis ranges from 5 to 9 and is labeled: Yards/Attempt. The vertical axis ranges from 0 to 90 and is labeled: Win %.…
A television station wishes to study the relationship between viewership of its 11 p.m. news program and viewer age (18 years or less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television viewers in each age group is randomly selected, and the number who watch the station’s 11 p.m. news is found for each sample. The results are given in the table below. Age Group Watch11 p.m. News? 18 or less 19 to 35 36 to 54 55 or Older Total Yes 49 59 61 84 253 No 201 191 189 166 747 Total 250 250 250 250 1,000 (a) Let p1, p2, p3, and p4 be the proportions of all viewers in each age group who watch the station’s 11 p.m. news. If these proportions are equal, then whether a viewer watches the station’s 11 p.m. news is independent of the viewer’s age group. Therefore, we can test the null hypothesis H0 that p1, p2, p3, and p4 are equal by carrying out a chi-square test for independence. Perform this test by setting α = .05. (Round your answer to 3 decimal places.)…
A random sample of 10 compact cars, 10 mid-size cars, and 10 luxury cars were selected. The time (in seconds) each of the randomly selected cars required to accelerate from 0 to 60 mph was looked up on the Autos.com website. The results are presented below. Car Type Time (in seconds) Required to Accelerate from 0 to 60 mph Compact 9.3 8.1 10.2 8.8 9.0 9.3 7.7 9.2 9.4 8.6 Mid-Size 6.9 5.7 8.3 7.7 8.6 5.9 6.1 8.8 6.1 7.2 Luxury 5.7 6.3 5.4 4.7 6.2 7.0 5.9 5.3 6.3 5.0 Conduct a hypothesis test using ! = 0.05 to determine whether the mean time required to accelerate from 0 to 60 mph is the same for compact, mid-size, and luxury cars. (No accounting or excel, I need help solving it.)
A sports franchise knows that 81% of their season ticket holders attend every home game. The collect a random sample of size 250 from among last year's season ticket holders. How likely are they to find that 200 or fewer attended every home game? a. .657 b. .800 c. .343 d. .500
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Assume that for an ad campaign to be successful, at least 77%of those seeing a television commercial must be able to recall the name of the company featured in the commercial one hour after viewing the commercial. Before distributing an ad campaign nationally, an advertising company plans to show the commercial to a random sample of 15 people. It will also show the same people two additional commercials for different products or businesses. a. Assuming that the advertisement will be successful (77%) will be able to recall the name of the company in the ad), what is the expected number of people in the sample who will recall the company featured in the commercial one hour after viewing the three commercials? The expected number of people is?
A random sample of 40 students from each grade level was surveyed regarding their preference for a class field trip. If there are 180 members of the 8th grade class, then what percent preferred either the museum or the sports complex? Show your work.
A quarterback threw 1 interception in his first game, 2 interceptions in his second game, and 5 inter-ceptions in his third game, and then he retired. Consider the values1, 2, and 5 to be a population. Assume that samples of size 2 are randomly selected (with replacement) from the population. List the 9 different possible samples, and find the mean of each sample.
Identify the sampling techniques used in each scenario. f. in order to sample the production yield of milk for the farm's herd of cows, random samples are taken from each of the five different types of cows.

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