In Exercise identify which of these designs is most appropriate for the given experiment: completely randomized design, randomized block design, or matched pairs design. HIV Vaccine The HIV Trials Network is conducting a study to test the effectiveness of two different experimental HIV vaccines. Subjects will consist of 80 pairs of twins. For each pair of twins, one of the subjects will be treated with the DNA vaccine and the other twin will be treated with the adenoviral vector vaccine.
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In Exercise identify which of these designs is most appropriate for the given experiment: completely randomized design, randomized block design, or matched pairs design.
HIV Vaccine The HIV Trials Network is conducting a study to test the effectiveness of two different experimental HIV vaccines. Subjects will consist of 80 pairs of twins. For each pair of twins, one of the subjects will be treated with the DNA vaccine and the other twin will be treated with the adenoviral
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- In Exercise identify which of these designs is most appropriate for the given experiment: completely randomized design, randomized block design, or matched pairs design. West Nile Vaccine Currently, there is no approved vaccine for the prevention of West Nile virus. A clinical trial of a possible vaccine is being planned to include subjects treated with the vaccine while other subjects are given a placebo.Three different assembly methods have been proposed for a new product. A completely randomized experimental design was chosen to determine which assembly method results in the greatest number of parts produced per hour, and 30 workers were randomly selected and assigned to use one of the proposed methods. The number of units produced by each worker follows. Method A B C 96 92 99 72 99 94 94 92 88 99 56 66 74 78 60 90 92 76 100 85 85 87 72 72 91 91 88 107 83 72 #1) Use these data and test to see whether the mean number of parts produced is the same with each method. Use ? = 0.05. State the null and alternative hypotheses: A) H0: Not all the population means are equal.Ha: ?A = ?B = ?C B) H0: ?A = ?B = ?CHa: ?A ≠ ?B ≠ ?C C) H0: At least two of the population means are equal.Ha: At least two of the population means are different. D) H0: ?A = ?B = ?CHa: Not all the population means are equal. E) H0: ?A ≠ ?B ≠ ?CHa: ?A = ?B = ?C #2) Find the…A school superintendent wants to know the effects of a four week anti-bullying course on high school students. The superintendent randomly selects 200 high school students and randomly assigns 100 high school students to participate in the course. She then assigns the remaining 100 high school students to not participate in the course. At the end of the course, the superintendent will observe the students' behavior in a school setting.Which of the following methods was used in this study? A. experimental study B. randomized experiment C. observational study D. survey
- In the search for a cure for the Coronavirus, it is important to determine what proportion of the population has antibodies, which would likely make them immune or less susceptible to the effects of the disease. According to an article in Politico published on April 26, 2022, 60% of Americans currently have detectible antibodies for Covid-19. A researcher thinks that more than 60% of Americans currently have antibodies for Covid-19. Suppose that the researcher takes a simple randomsample of 1200 Americans, tests their blood, and find that 750 of them have antibodies. Use a 0.05 significance level to test the researcher’s claim.When a company , while doing research tries to look at 2 or more treatments simultaneously , the type of experimental design is a. Factorial design b. Randomised Block design c. Completely randomized block design d. Latin square designWhich of these statements is NOT true regarding a randomized block design experiment? a.) The elements are randomly allocated to treatment and control groups. b.) The sample is divided into participants or subjects and then grouped by a variable of interest. c.) This design has the advantage of controlling for variables that might confound the response. d.) Elements are randomly selected from equal-sized blocks of the total population.
- An aluminum master alloy manufacturer produces grain refiners in ingot form. The company produces the product in four furnaces. Each furnace is known to have its own unique operating characteristics, so any experiment run in the foundry that involves more than one furnace will consider furnaces as a nuisance variable. The process engineers suspect that stirring rate impacts the grain size of the product. Each furnace can be run at four different stirring rates. A randomized block design is run for a particular refiner and the resulting grain size data is as follows. Furnace Stirring Rate 1 2 3 4 5 8 4 5 6 10 14 5 6 9 15 14 6 9 2 20 17 9 3 6 (a) Plot the residuals versus furnace and stirring rate. Does this plot convey any useful information? (b) What should the process engineers recommend concerning the choice of stirring rate and furnace for this particular grain refiner if small grain size is desirable?An aluminum master alloy manufacturer produces grain refiners in ingot form. The company produces the product in four furnaces. Each furnace is known to have its own unique operating characteristics, so any experiment run in the foundry that involves more than one furnace will consider furnaces as a nuisance variable. The process engineers suspect that stirring rate impacts the grain size of the product. Each furnace can be run at four different stirring rates. A randomized block design is run for a particular refiner and the resulting grain size data is as follows. Furnace Stirring Rate 1 2 3 4 5 8 4 5 6 10 14 5 6 9 15 14 6 9 2 20 17 9 3 6 (a) Is there any evidence that stirring rate impacts grain size? Conduct hypothesis testing to answer this question. (b) Graph the residuals from this experiment on a normal probability plot. Interpret this plot.An epidemiologist is worried about the prevalence of the flu in East Vancouver and the potential shortage of vaccines for the area. She will need to provide a recommendation for how to allocate the vaccines appropriately across the city. She takes a simple random sample of 360 people living in East Vancouver and finds that 42 have recently had the flu. The epidemiologist will recommend East Vancouver as a location for one of the vaccination programs if her sample data provide sufficient evidence to support the hypothesis that the true proportion of people who have recently had the flu is greater than 0.06. A test of hypothesis is conducted. What is the null hypothesis?A. The true proportion of residents who have recently had the flu is greater than 0.06.B. The sample proportion of residents who have recently had the flu is greater than 0.06.C. The true proportion of residents who have recently had the flu is 0.06.D. The sample proportion of residents who have recently had the flu is…
- An aluminum master alloy manufacturer produces grain refiners in an ingot form. The company produces the product in four furnaces. Each furnace is known to have its own unique operating characteristics, so any experiment runs in the foundry that involves more than one furnace will consider furnaces as a nuisance variable. The process engineers suspect that the stirring rate affects the grain size of the product. Each furnace can be run at four different stirring rates. A randomized block design is run for a particular refiner, and the resulting grain size data are as follows. Stirring rate Furnace grain size 5 1 8 10 1 14 15 1 14 20 1 17 5 2 4 10 2 5 15 2 6 20 2 9 5 3 5 10 3 6 15 3 9 20 3 3 5 4 6 10 4 9 15 4 2 20 4 6 1) Does the stirring rate affects grain size? 2) Analyze the residuals from the experiment. Are all assumptions satisfied?A virologist is interested in studying the effects of 2 preselected different culture media and 2 preselected different times on the growth of a particular virus. She performs a balanced design with 6 plates for each of the treatment combinations. The 24 measurements were taken in a completely randomized order. what would be: a. factors and factor levels: b. treatment combinations: c. experimental units: d. response variable: e. design structure:In a completely randomized design involving four treatments, the following information is provided. Treatment 1 Treatment 2 Treatment 3 Treatment 4 Sample Size 50 18 10 17 Sample Mean 32 36 42 48 The overall mean (the grand mean) for all treatments is 37.3 36.7 48.3 37.0