Consider a two factor factorial design with two design factors A and B. The significance of each of the main and interaction effects may be examined by an F-test. Explain why those F-tests are all one-sided tests
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Consider a two factor factorial design with two design factors A and B. The significance of each of the main and interaction effects may be examined by an F-test. Explain why those F-tests are all one-sided tests.
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- An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = .05. Factor A is method of loading and unloading; Factor B is the type of ride. Roller Coaster Method 1 47 49 Method 2 52 54 Type of Ride Screaming Demon Log Flume 50 49 42 45 55 46 51 42 Set up the ANOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary). Source of Variation Sum of Squares Degrees of Mean F p-value Freedom Square Factor A 27 1 27 2.7 .15 Factor B 22 2 11 1.1 .37 Interaction 184 2 92 9.2 .01 Error 60.00 6 10…An experimenter is interested in the effects of two independent variables onself-esteem. What is better about conducting a factorial experiment thanconducting two separate experiments, one for each independent variable?An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use a = 0.5. Factor A is method of method of loading and unloading; factor B is the type of ride. Thank you
- What is a unique advantage of the Latin Square design? It reduces the carryover effect while maximizing the strength of the IV manipulation. The Latin Square design uses multiple langauges. It counterbalances while reducing the number of groups/people needed to control for order effects. It is useful in an independent groups designs when matching participants on the dependent variable. Previous O O OResearchers wanted to conduct a study on the GPA of third year working engineering students in their University. They think that some students with work learned how to manage their time wisely and step up to leadership challenges, while a certain portion of them have problems balancing work and school, and thus, experience stress more than non-working students. The study wants to identify if there is significant difference on the GPA of third year working students with leadership roles and working students without. Identify the population from which the study should be sampled. a. All working students b. Third year working engineering students c. All engineering students in the University d. Third year Engineering Students with part-time job who have adequate time-management and leadership skills.A researcher wants to test whether two services that purport to increase GRE scores differ in their effectiveness. One is Princeton Review (PR), the other is Kaplan (KAP), a variable referred to as GRE-testype. She also decides to look at both the verbal (V-GRE) and quantitative (Q-GRE) scores after the training, a variable labeled as Service. She randomly assigns 40 students to each of the programs (total N = 80). The scores below reflect the mean score increases for the students: PR KAP V-GRE 20.45 31.62 Q-GRE 33.04 22.18 SSGRE-testtype = 3.76 SSService = 3.03 SS GRE-testype X Service = 37.41 SSWITHIN = 652 Use alpha .05 for all tests and explain the results in terms that could be understood by a lay audience.
- An und Tuate student performed a visual experiment on a number of participants. Since the experiment involved displays of colored letters and backgro after the experiment the student wondered whether the presence or absence of color vision in the participants could have produced some of the effects seen in the data. The student went back, tested his participants for colorblindness, and reanalyzed the data. He considered the variables color vision of participant ("colorblind" or "not colorblind") and trial outcome ("hit", "miss", "false alarm", or "correct rejection"). The contingency table below gives a summary of the data from 2000 trials of the experiment. Each of the trials was performed either by a colorblind participant or a non-colorblind participant. Each cell of the table contains three numbers: the first number is the observed cell frequency (f); the second number is the expected cell frequency (f) under the assumption that there is no dependence between the two variables…Mr. Saif has conducted a research study to krow the attitude of graduate students towards entrepreneurship business. In this regard, he has collected the data from the Sultan Oaboos University, Muscat and University of Technology and Applied Sciences, Muscat usinga structured questionnaire. The feedback of 400 students has been collected from these universities. For the data analysIs, the researcher has used exploratory factor analysis and regression to evaluate the factors nfluienaing the attitude of students towards entrepreneurship business. Question: Evaluate the methodology approach used for this study by discussing its features.A research team is interested in the effect of Parent-Child Interaction Therapy (PCIT) in reducing children’s disruptive behaviors for children with disruptive behavior disorders (DBD). The research team recruited 12 families with a child with DBD and interviewed the parents about the number of disruptive behaviors the child has at home. After three weeks' therapy, the research interviewed again about the child's disruptive behaviors. What is the research question? What is/are the variable(s)? Are they categorical or continual variables? What statistical test can be used to answer the research question?
- An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use = .05. Factor A is method of loading and unloading; Factor B is the type of ride. Type of Ride Roller Coaster Screaming Demon Long Flume Method 1 50 52 49 52 44 45 Method 2 47 48 46 49 44 42 Set up the ANOVA table (to 2 decimal, if necessary). Round p-value to four decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Factor A Factor B Interaction Error…Hello. Could anyone help me on this question? I have tried it four times and only one attempt left. What I am confusing is that some choice are not individual and variables. Like all young children, children who eat snack and cartoon characters. But if i leave them there, it shows me I am wrong. Pls help me on this and explanation would be appreciated. Thanks!An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use a = .05. Factor A is method of loading and unloading; Factor B is the type of ride. Type of Ride Roller Coaster Screaming Demon Long Flume Method 1 47 56 52 49 48 48 Method 2 47 51 50 49 47 46 Set up the ANOVA table (to whole number, but p-value to 2 decimals and F value to 1 decimal, if necessary). Source of Sum of Degrees of Mean p-value Variation Squares Freedom Square Factor A Factor B Interaction Error Total