With the aid of examples briefly explain the difference between fixed effect and random effects models in experimental design.
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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…
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Q: What conclusion should be made at the a = 0.05 level?
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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…
Q: Study 1: A study of 300 high school students was done. Half of them were instructed to drink soda…
A: Given: Study 1: A study of 300 high school students was done. Half of them were instructed to drink…
Q: Data from “Statistics For Experimenters” by Box Hunter Hunter, 1978. The data “… appear in a paper…
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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
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Q: amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and…
A: cost ride_type metho 46 RC M1 48 RC M1 56 SD M1 48 SD M1 52 LF M1 48 LF M1 51 RC M2…
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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A: Solution: Given: Dot plot of 100 simulated trails assuming that 60% of teenagers smile for their…
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Q: Survival Analysis: An observational study is conducted to compare the survival experience of…
A: An observational study is conducted to compare the survival experience of individuals with brain…
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With the aid of examples briefly explain the difference between fixed effect and random
effects models in experimental design.
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- Survival Analysis: An observational study is conducted to compare the survival experience of individuals with brain cancer following treatment. Participants undergo treatment and are followed until the time of recurrence, until they are lost to follow-up or up to 40 weeks, whichever comes first. The following table details the experiences of participants undergoing radiotherapy alone or radiotherapy and surgery. The data below are week to recurrence or week of last contact. Using the Kaplan-Meier approach, what is the Survival Probability at the end of 34 weeks for surgery/radiotherapy? (Hi nt: set up a table for Surgery/radiotherapy including columns for time (week), Nt, Dt, Ct, and St+1) Radiotherapy Alone Weeks to Surgery/Radiotherapy Weeks to Week of Last Contact (no recurrence) Week of Last Contact (no Irecurrence recurrence recurrence) 10 3 2 2. 4 6 14 10 21 5 23 29 8 32 34Survival Analysis: An observational study is conducted to compare the survival experience of individuals with brain cancer following treatment. Participants undergo treatment and are followed until the time of recurrence, until they are lost to follow-up or up to 40 weeks, whichever comes first. The following table details the experiences of participants undergoing radiotherapy alone or radiotherapy and surgery. The data below are week to recurrence or week of last contact. Using the Kaplan-Meier approach, what is the Survival Probability at the end of 8 weeks for radiotherapy alone? (Hint: set up a table for radiotherapy including columns for time (week), Nt, Dt, Ct, and St+1) Radiotherapy Alone Weeks to Surgery/Radiotherapy Weeks to Week of Last Contact (no recurrence) Week of Last Contact (no recurrence recurrence recurrence) 3 2 10 2. 4. 14 2 5 10 21 5 23 29 8 32 34An 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 firm has two investment projects project A : expected profit = $ 670 SD = 175 coefficient of varience = 0.26 project B : expected profit = $700 SD = 370 coefficient of variance = 0.53 a. which project has a lower absolute risk ? b. whick project has a lower relative risk ? C . which project would you advice the firm to choose ?Researchers notice that access to food may be related to later success in secondary education. Researchers formulate a hypothesis that says: teenagers are more likely to graduate high school in cities with more food banks per capita compared to cities that have fewer food banks per capita. They run a pilot study with n = 4 neighborhood blocks, sampled randomly across cities in the U.S. Here, x = number of food banks in the target city and y = number of high school graduates in a 4x4 block radius. The data are presented in the table below. What is the correlation between access to food banks (x) and high school graduation (y)? a) Calculate the sum of products b) Calculate Pearson’s rSection 6.3: Hypothesis Test of Differences in Proportions Example 4. Autism and Maternal Antidepressant Use A recent study41 compared 298 children with Autism Spectrum Disorder to 1507 randomly selected control children without the disorder. Of the children with autism, 20 of the mothers had used antidepressant drugs during the year before pregnancy or the first trimester of pregnancy. Of the control children, 50 of the mothers had used the drugs. (a) Is there a significant association between prenatal exposure to antidepressant medicine and the risk of autism? Test whether the results are significant at the 5% level. (b) Can we conclude that prenatal exposure to antidepressant medicine increases the risk of autism in the child? Why or why not?
- Analysis of Variance (ANOVA) Researchers conducted a study to evaluate the effectiveness of three alcohol treatment programs. The researchers randomly assigned each of the 15 patients to receive one of these treatments. Sixty days later, the researchers measured the effectiveness of the program. One of their measures was the patient’s self-reported need to use alcohol. It was measured on a scale of 1 (low need) to 10 (high need). Test the null hypothesis that the patient’s self-reported need to use alcohol does not differ by type of treatment. Write a concluding statement. Treatment A Treatment B Treatment C 8 6 6 10 5 5 10 10 2 8 2 2 10 4 1what is the p value? is the p-value low? can we conclude?One disadvantage of a repeated measures design is the possibility of order effects. Which of the following statements is false? O Order effects are often due to the treatment itself. O Order effects can bias the results of an experiment. O Order effects can be lessened by applying counterbalancing to the experimental design. O An order effect is an increase or decrease in the response to each subsequent treatment due to an increase in learning, fatigue, or boredom.
- 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…