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Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
A: Excel: Data --> Data analysis -->Anova: Two-Factor With Replication
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Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
A:
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…
Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
A: From the information, given thatLet Factor A denotes the type of MethodsLet Factor B denotes the…
Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
A: (a) According to the provided data, factor A is the loading and unloading method and factor B is the…
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Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
A: Excel: Data --> Data analysis -->Anova: Two-Factor With Replication
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Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
A: From the given information, Factor A – Method of loading or unloading Factor B – Type of ride…
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A: Answer: For the given data,
Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
A: The data shows the type of ride and method of loading.
Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
A: For the given data Perform Anova: Two-Factor With Replication
Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
A: From the given information, Factor A – Method of loading or unloading Factor B – Type of ride…
Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
A: Note: Hi there! Thank you for posting the question. As the decimal places are not mentioned clearly,…
Q: An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
A: There are two categorical variables which are method and type of ride. Method has 2 types which are…
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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: Suppose a local university researcher wants to build a linear model that predicts the freshman year…
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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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- Determine the heteroscedasticity in a scatter plot?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 = 0.05. Type of Ride Screaming Demon Roller Coaster Log Flume 41 54 48 Method 1 43 46 44 49 48 50 Method 2 51 44 46 Find the value of the test statistic for method of loading and unloading. Find the p-value for method of loading and unloading. (Round your answer to three decimal places.) p-value = State your conclusion about method of loading and unloading. O Because the p-value sa = 0.05, method of loading and unloading is not significant. O Because the p-value >…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…
- A recent study claims that using music in a class enhances concentration and consequently helps students absorb more information. A researcherdecided to test this claim on a smaller group of randomly selected students from three different classes. Each classroom was provided with a different environment for students to study. Classroom A had constant music being played in the background, classroom B had variable music being played and classroom C was a regular class with no music playing. After one month, the researcher conducted a test for all the three groups and ranked their scores. What statistical test would be most appropriate for testing the research hypothesis? Explain your answer.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 design
- Suppose a local university researcher wants to build a linear model that predicts the freshman year GPA of incoming students based on high school SAT scores. The researcher randomly selects a sample of 40 sophomore students at the university and gathers their freshman year GPA data and the high school SAT score reported on each of their college applications. He produces a scatterplot with SAT scores on the horizontal axis and GPA on the vertical axis. The data has a linear correlation coefficient of 0.481202. Additional sample statistics are summarized in the table below. Variable Sample Sample standard Variable description mean deviation high school SAT score x = 1495.716802 Sx = 109.915203 y freshman year GPA y = 3.260911 Sy 0.492802 r = 0.481202 slope = 0.002157 Determine the y-intercept, a, of the least-squares regression line for this data. Give your answer precise to at least four decimal places. a =Amount of brake fluid can affect the breaking time of a vehicle. Engineer Nsiah conducts an experiment to determine if this statement is true. The breaking time data for the trials for different levels of brake fluid as presented in table below. i) Obtain the linear regression model for the given data ii) Compute the correlation coefficient, r iii) Find the Breaking time given the amount of oil is 45cm2 Amount of 20 10 30 40 60 50 oil(cm3) Braking time(s) 9. (iv) The coefficient of determination, r for the given data 3.Neurosurgery 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.
- 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 . 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 44 50 48 46 42 44 Method 2 50 54 46 52 50 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 Freedom Mean Square -value Factor A Factor B Interaction…In a White test for heteroskedasticity, what is the degrees of freedom? The number of explanatory variables in the auxiliary regression + 1 The number of explanatory variables in the initial model + 1 The number of explanatory variables in the auxiliary regression The number of explanatory variables in the initial modelAn 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 Total