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, anadvertising 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 advertising campaign will be successful, what is the probability of 11 or fewer people being able recall thecompany name?The probability is(Round to four decimal places as needed.)

a. The proportion of viewrs who must recall the company's name featured in the commercial hour…

Answered: Assume that for an ad campaign to be…

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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Suppose a survey conducted in 2012 asked a group of adults from a certain country whether they drink seltzer water. Of the 3,062 people who responded, 22.8% said they drink seltzer water. Complete parts a through d. a. Identify the sample. What is the sample? A. The group of adults in the particular country who did not respond to the survey B. The 22.8% who reported they drink seltzer water C. The 3,062 people who responded D. All adults in the particular country b. Identify the population. What is the population? A. All of the adults in the world B. The 22.8% of respondents in the survey who reported they drink seltzer water C. All of the adults in the particular country D. The 3,062 people who responded to the survey
A researcher wants to determine if the number of years of education for a parent correlates with the number of years of education for their child. The table shows the number of years of education of the parent and the number of years of education of their child for a random sample of 7. Years of Education of Parent: 13, 9, 12, 10, 12, 10, 12 Years of Education of their Child: 15, 11, 10, 16, 17, 12, 17 Conduct a hypothesis test to determine if there is a significant linear correlation between the two variables. Use α = 0.05. If there is a significant linear correlation between the variables, determine the regression equation. There is a significant correlation between the variables and the regression equation is y' = 5.333 + 0.777x There is a significant correlation between the variables and the regression equation is y' = 0.777 + 5.333x There is not a significant correlation between the variables, so the regression equation should not be determined. There is a significant…
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 Statistics class reports the following data on Sex and Eye Color for students in the class: Green/Hazel/Other Total Blue 8 Brown 20 34 4 16 32 36 66 Males Females Total 12 16 12 18 a. What percent of the blue-eyed students are male? type your answer... % b. What percent of the class are blue-eyed males? % type your answer... c. What percent of the male students have blue eyes? type your answer... % d. What percent of the students who do not have blue eyes are females? % type your answer... e. What's the conditional distribution of sex for the brown-eyed students? Male: type your answer... % Female: type your answer... % f. What's the conditional distribution of Eye Color for the males? Blue: type your answer... Brown: type your answer... % %
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
At a football game, 40 fans were randomly surveyed. Of the sampled fans, 6 named Daren as the best player. Given this sample, if there are 12,000 fans altogether at the game, how many fans would likely name Daren as the best player? O 720 O 1,800 O 4,800 O 80,000 Choice Blocker Highlight Line Viewer Ruler Ruler (Grades 2&3) Protractor Calc Basic Calc Sci Reference Try Desmos Graphing Calc
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 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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