In a two-way ANOVA with interaction, a significant interaction term indicates that.
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A: Definition of interaction and its example is given below
Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
A: Given information: Type of Ride Roller Coaster Screaming Demaon Log Flume Method 1 41 52…
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A: From the information, given thatLet Factor A denotes the method of loading and unloadingLet Factor B…
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A: State the hypotheses Let Factor A denotes the method of loading and unloading. Let Factor B…
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Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
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Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
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- Refer to the ANOVA output below. A business researcher is investigating the process inputs that influence late orders (measured as % late). Which statement is FALSE? 1. Three factors are being researched simultaneously 2. There is a chance of a beta error in this analysis 3. Four different product types were considered in this research 4. Particular combinations (interactions) of Order Frequency and Quantity significantly influences late orders 5. The Order Frequency significantly influences whether an order is late1) When the effect of one variable depends on the level of other variable , that is call the main effect True or false 2) When an interaction term is statistically significant , you must be cautious in interoreting the main effects . True or false give above answer and explain ?A researcher wants to test a new memory performance supplement that has shown some promise in primate studies where subjects were given the supplement followed by the task of identifying pictures of other animals three days later. The dependent variable was measured by the number of pictures correctly identified. The researchers noticed that while there was a positive correlation between the group given the supplement and number of correctly identified pictures as compared to the control group, they also notice that there seemed to be some variation between the males and females of the primates. Additionally, two different amounts of the drug have been proposed for consideration. Therefore, in the current study, the researchers want to divide the subject primates (N=60) by gender (male: n=30; female: n=30), and give them a 10 mg dose in one treatment condition, and a 25 mg dose in the other treatment condition. To do this, they are dividing each group of males and females in half, and…
- Answer true or false to each of the following statements and explain your answers. a. In a two-way ANOVA, if there is an interaction between Factor A and Factor B, then there must be a main effect due to at least one of the factors.b. In a two-way ANOVA, if there is no Factor A main effect and no Factor B main effect, then there can be no interaction effect between Factor A and Factor B.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 = 0.05. 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 49 50 47 51 42 43 Method 2 48 46 47 50 42 43 Set up the ANOVA table (to whole number, but p-value to 4 decimals and F value to 2 decimal, if necessary). Do not round intermediate calculations. Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Factor A Factor B Interaction Error Total The p-value…Let Factor A have three levels and Factor B have five levels. If the interaction between A and B is significant, what is the value of ? for the q-curve if we are performing Tukey’s multiple-comparison procedure to determine which treatment means are different?
- The type of study that allows us to draw firm conclusions about the cause-and-effect relationship between two variables is a(n): a. experimental or quasi-experimental design b. experimental design c. correlational or quasi-experimental design d. correlational designNeurosurgery Operative Times. An Arizona State University professor, R. Jacobowitz, Ph.D., in consultation with G. Vishteh, M.D., and other neurosurgeons obtained data on operative times, in minutes, for both a dynamic system (Z-plate) and a static system (ALPS plate). They wanted to perform a hypothesis test to decide whether the mean operative time is less with the dynamic system than with the static system. a. identify the variable. b. identify the two populations. c. determine the null and alternative hypotheses. d. classify the hypothesis test as two tailed, left tailed, or right tailed.Suppose we are interested in studying the relationship between the shelf life of cheeses in a dairy factory and the thickness of the packaging material used for those cheeses. We would like to determine if there is a causal relationship between the thickness of the packaging material and the shelf life of the cheese; that is, does a change in the thickness of the packaging material cause a change in the shelf life of the cheese? Select the study that would be best source of evidence for establishing the existence of a causal relationship. Select one: O a. A study which uses a stratified random sample, stratifying by type of cheese, to select units of cheese in the factory and determine the thickness of the packaging material and test the shelf life of each unit. O b. A study which uses a cluster sample, clustering by room the cheese is stored in, to select units of cheese in the factory and determine the thickness of the packaging material and test the shelf life of each unit. O c. A…
- 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 48 56 51 50 48 47 Method 2 51 55 52 53 51 48 a. 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 p-value Factor A Factor B Interaction Error TotalAn 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=0.05 . 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 51 54 49 43 50 Method 2 51 47 50 53 43 46 Set up the ANOVA table (to whole number, but -value to 2 decimals and value to 1 decimal, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square F -value Factor A Factor B Interaction…The same media consultants decided to continue their investigation of the focal relationship between income and TV viewing habits. In order to confirm the existence of the focal relationship, they decided to control for immigration status by adding a variable measuring the number of each survey respondent's grandparents who were born outside the U.S. The researchers wonder if immigration background could influence both income and TV watching (but they hope this is not true, because it could invalidate the focal relationship). The researchers conduct a multivariate regression by adding a measure of number of grandparents born outside the U.S. to the regression equation presented in Equation 2 of Table 1. The results of the second regression equation are presented in Equation 2 of Table 1. Table 1. OLS Regression Coefficients Representing Influence of Income and Control Variables on Number of Hours of TV Watched per Day Equation 1 Equation 2 Equation 3 Annual Income…