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Most Popular Content
7 pages
Top Principles in Teaching Mathematics
Mathematics is a kind of study in which the properties of idealized objects are scrutinized or slowly examined. Mathematic ...
Top Principles in Teaching Mathematics
Mathematics is a kind of study in which the properties of idealized objects are scrutinized or slowly examined. Mathematics was first used as a tool for calculation for a certain computation and other tabulation and eventually it was improved and has already has its own terms, approaches and rules to be use for its application.
HLT 362V Chapter 8 Factorial Treatment Structure and R Code Worksheet
Please use R codes for all the problems except 8.2 and send me the codes, and also make a clean report and send. Problem 8 ...
HLT 362V Chapter 8 Factorial Treatment Structure and R Code Worksheet
Please use R codes for all the problems except 8.2 and send me the codes, and also make a clean report and send. Problem 8.1 Brewer’s malt is produced from germinating barley, so brewers like to
know under what conditions they should germinate their barley. The following is part of an experiment on barley germination. Barley seeds were
divided into 30 lots of 100 seeds, and each lot of 100 seeds was germinated
under one of ten conditions chosen at random. The conditions are the ten
combinations of weeks after harvest (1, 3, 6, 9, or 12 weeks) and amount
of water used in germination (4 ml or 8 ml). The response is the number of
seeds germinating. We are interested in whether timing and/or amount of water affect germination. The data for this problem are in Table 8.1 (Hareland
and Madson 1989). Analyze these data to determine how the germination
rate depends on the treatments.Problem 8.2 (For this problem, no calculation, no R, simple tell me whats wrong with this design)Particleboard is made from wood chips and resins. An experiment is
conducted to study the effect of using slash chips (waste wood chips) along
with standard chips. The researchers make eighteen boards by varying the
target density (42 or 48 lb/ft3
), the amount of resin (6, 9, or 12%), and the
fraction of slash (0, 25, or 50%). The response is the actual density of the
boards produced (lb/ft3
, data from Boehner 1975). Analyze these data to
determine the effects of the factors on particleboard density and how the
density differs from target.Problem 8.4Implantable heart pacemakers contain small circuit boards called substrates. These substrates are assembled, cut to shape, and fired. Some of
the substrates will separate, or delaminate, making them useless. The purpose of this experiment was to study the effects of three factors on the rate
of delamination. The factors were A: firing profile time, 8 versus 13 hours
with the theory suggesting 13 hours is better; B: furnace airflow, low versus
high, with theory suggesting high is better; and C: laser, old versus new, with
theory suggesting new cutting lasers are better.
A large number of raw, assembled substrates are divided into sixteen
groups. These sixteen groups are assigned at random to the eight factorlevel combinations of the three factors, two groups per combination. The
substrates are then processed, and the response is the fraction of substrates
that delaminate. Data from Todd KerkowAnalyze these data to determine how the treatments affect delamination.
Strayer University Design of Experiment and OFAT Paper
Per the textbook, trying to understand factors that impact the outcomes of business process is an important aspect of impr ...
Strayer University Design of Experiment and OFAT Paper
Per the textbook, trying to understand factors that impact the outcomes of business process is an important aspect of improving business operations. Conventional wisdom plans experiment one-factor-at-a-time (OFAAT). Compare and contrast the main advantages and disadvantages of OFAAT and DOE and select the approach (e.g., OFAAT or DOE) that you would use in order to obtain effective business process. Provide a rationale for your response.Please respond to peer post:Experimental DesignOne-factor-at-a-time (OFAT) an experiment has only one variable at a time with the rest kept constant as compared to the design experimentation (DOE) that has several factors varied when the study involves more than consideration (Miriam et al., 2015). Using OFAT, therefore, implies that fewer assets for data measuring is required. Moreover, the impacts of every composition of the data are accurately achieved with decreased variability in the process of analysis when using DOE. However, both the OFAAT and DOE are data analysis tools, though with varied applications.The resources required for a designed experiment are less in terms of time, operations, and materials (Treglia, 2015). The benefit of this is the relevance in the industry where trials involved are many, expensive, and require a lot of time to conduct. Notably, when using design experiments, it is possible to estimate the interaction existing between the variables systematically. While using the OFAAT experiment, it is quite hard to determine the communications, and those who do not apply designed experiments use the hit-and-miss shots scattered over a large area. The scattershot cannot estimate the interactions. Contrarily, the advantage of OFAAT over DOE is that it requires few resources to complete the analysis. In approximation, six runs are necessary for a double scheme design (Miriam et al., 2015). However, the long-run cost of the experimental analysis is expensive in terms of resources such as time as compared to the requirements by DOE for an equal number of experiments. In DOE, the preliminary information in a more significant factor space region can be deduced. The benefit of this is the improvement of the predictability in response since it reduces the variability of the estimates. Therefore, with DOE, the optimization of the process thus becomes efficient.In my experimental data analysis, I would prefer DOE over OFAAT due to its preciseness. The DOE can handle many variables at a go, thus allowing convenient and dependable business data.ReferencesMiriam, K. R., Márcia, F. S., Alexandre, J. d., André, L. D., Adrícia, F. M., & Messias, B. S. (2015). The Design of Experiment Application (DOE) in the Beneficiation of Cashew Chestnut in Northeastern Brazi. American Journal of Theoretical and Applied Statistics., 4(1), 6-14. doi:10.11648/j.ajtas.20150401.12 Treglia, M. (2015, March 12). Understanding the Design of Experiments. Retrieved from Quality Digest Website: https://www.qualitydigest.com/inside/quality-insid...
SPHS 505 American Public University Statistic Project
For this assignment, please include all of the required information below into a Word document and upload the completed fi ...
SPHS 505 American Public University Statistic Project
For this assignment, please include all of the required information below into a Word document and upload the completed file as an attachment. . For this project you will write an original research question on any topic in the Health Sciences and create a fictitious data set to analyze your data using Excel and answer your research question. Then, you will summarize your findings in a journal-style results section including any tables or statistical output you deem necessary to explain your findings. At a minimum, include the following: research question, null and alternate hypotheses, independent and dependent variable, description of the statistical test used, your results from that test using your fictitious data and concluding statements relating back to your hypotheses. Do not simply include your statistical output. Instead, make sure you explain and interpret the statistical output.
Southern New Hampshire University Surface Area Discussion
For your initial post, you must do the following:Solve the problem and discuss how you get your answer.Explain how you got ...
Southern New Hampshire University Surface Area Discussion
For your initial post, you must do the following:Solve the problem and discuss how you get your answer.Explain how you got your results in the Brightspace module discussion.
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Most Popular Content
7 pages
Top Principles in Teaching Mathematics
Mathematics is a kind of study in which the properties of idealized objects are scrutinized or slowly examined. Mathematic ...
Top Principles in Teaching Mathematics
Mathematics is a kind of study in which the properties of idealized objects are scrutinized or slowly examined. Mathematics was first used as a tool for calculation for a certain computation and other tabulation and eventually it was improved and has already has its own terms, approaches and rules to be use for its application.
HLT 362V Chapter 8 Factorial Treatment Structure and R Code Worksheet
Please use R codes for all the problems except 8.2 and send me the codes, and also make a clean report and send. Problem 8 ...
HLT 362V Chapter 8 Factorial Treatment Structure and R Code Worksheet
Please use R codes for all the problems except 8.2 and send me the codes, and also make a clean report and send. Problem 8.1 Brewer’s malt is produced from germinating barley, so brewers like to
know under what conditions they should germinate their barley. The following is part of an experiment on barley germination. Barley seeds were
divided into 30 lots of 100 seeds, and each lot of 100 seeds was germinated
under one of ten conditions chosen at random. The conditions are the ten
combinations of weeks after harvest (1, 3, 6, 9, or 12 weeks) and amount
of water used in germination (4 ml or 8 ml). The response is the number of
seeds germinating. We are interested in whether timing and/or amount of water affect germination. The data for this problem are in Table 8.1 (Hareland
and Madson 1989). Analyze these data to determine how the germination
rate depends on the treatments.Problem 8.2 (For this problem, no calculation, no R, simple tell me whats wrong with this design)Particleboard is made from wood chips and resins. An experiment is
conducted to study the effect of using slash chips (waste wood chips) along
with standard chips. The researchers make eighteen boards by varying the
target density (42 or 48 lb/ft3
), the amount of resin (6, 9, or 12%), and the
fraction of slash (0, 25, or 50%). The response is the actual density of the
boards produced (lb/ft3
, data from Boehner 1975). Analyze these data to
determine the effects of the factors on particleboard density and how the
density differs from target.Problem 8.4Implantable heart pacemakers contain small circuit boards called substrates. These substrates are assembled, cut to shape, and fired. Some of
the substrates will separate, or delaminate, making them useless. The purpose of this experiment was to study the effects of three factors on the rate
of delamination. The factors were A: firing profile time, 8 versus 13 hours
with the theory suggesting 13 hours is better; B: furnace airflow, low versus
high, with theory suggesting high is better; and C: laser, old versus new, with
theory suggesting new cutting lasers are better.
A large number of raw, assembled substrates are divided into sixteen
groups. These sixteen groups are assigned at random to the eight factorlevel combinations of the three factors, two groups per combination. The
substrates are then processed, and the response is the fraction of substrates
that delaminate. Data from Todd KerkowAnalyze these data to determine how the treatments affect delamination.
Strayer University Design of Experiment and OFAT Paper
Per the textbook, trying to understand factors that impact the outcomes of business process is an important aspect of impr ...
Strayer University Design of Experiment and OFAT Paper
Per the textbook, trying to understand factors that impact the outcomes of business process is an important aspect of improving business operations. Conventional wisdom plans experiment one-factor-at-a-time (OFAAT). Compare and contrast the main advantages and disadvantages of OFAAT and DOE and select the approach (e.g., OFAAT or DOE) that you would use in order to obtain effective business process. Provide a rationale for your response.Please respond to peer post:Experimental DesignOne-factor-at-a-time (OFAT) an experiment has only one variable at a time with the rest kept constant as compared to the design experimentation (DOE) that has several factors varied when the study involves more than consideration (Miriam et al., 2015). Using OFAT, therefore, implies that fewer assets for data measuring is required. Moreover, the impacts of every composition of the data are accurately achieved with decreased variability in the process of analysis when using DOE. However, both the OFAAT and DOE are data analysis tools, though with varied applications.The resources required for a designed experiment are less in terms of time, operations, and materials (Treglia, 2015). The benefit of this is the relevance in the industry where trials involved are many, expensive, and require a lot of time to conduct. Notably, when using design experiments, it is possible to estimate the interaction existing between the variables systematically. While using the OFAAT experiment, it is quite hard to determine the communications, and those who do not apply designed experiments use the hit-and-miss shots scattered over a large area. The scattershot cannot estimate the interactions. Contrarily, the advantage of OFAAT over DOE is that it requires few resources to complete the analysis. In approximation, six runs are necessary for a double scheme design (Miriam et al., 2015). However, the long-run cost of the experimental analysis is expensive in terms of resources such as time as compared to the requirements by DOE for an equal number of experiments. In DOE, the preliminary information in a more significant factor space region can be deduced. The benefit of this is the improvement of the predictability in response since it reduces the variability of the estimates. Therefore, with DOE, the optimization of the process thus becomes efficient.In my experimental data analysis, I would prefer DOE over OFAAT due to its preciseness. The DOE can handle many variables at a go, thus allowing convenient and dependable business data.ReferencesMiriam, K. R., Márcia, F. S., Alexandre, J. d., André, L. D., Adrícia, F. M., & Messias, B. S. (2015). The Design of Experiment Application (DOE) in the Beneficiation of Cashew Chestnut in Northeastern Brazi. American Journal of Theoretical and Applied Statistics., 4(1), 6-14. doi:10.11648/j.ajtas.20150401.12 Treglia, M. (2015, March 12). Understanding the Design of Experiments. Retrieved from Quality Digest Website: https://www.qualitydigest.com/inside/quality-insid...
SPHS 505 American Public University Statistic Project
For this assignment, please include all of the required information below into a Word document and upload the completed fi ...
SPHS 505 American Public University Statistic Project
For this assignment, please include all of the required information below into a Word document and upload the completed file as an attachment. . For this project you will write an original research question on any topic in the Health Sciences and create a fictitious data set to analyze your data using Excel and answer your research question. Then, you will summarize your findings in a journal-style results section including any tables or statistical output you deem necessary to explain your findings. At a minimum, include the following: research question, null and alternate hypotheses, independent and dependent variable, description of the statistical test used, your results from that test using your fictitious data and concluding statements relating back to your hypotheses. Do not simply include your statistical output. Instead, make sure you explain and interpret the statistical output.
Southern New Hampshire University Surface Area Discussion
For your initial post, you must do the following:Solve the problem and discuss how you get your answer.Explain how you got ...
Southern New Hampshire University Surface Area Discussion
For your initial post, you must do the following:Solve the problem and discuss how you get your answer.Explain how you got your results in the Brightspace module discussion.
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