how do you set up this percentage question? 15 is what % of 25?
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A-Cats Corp Case Study, statistics homework help
Identify statistical tools and methods to collect data:1.Identify the appropriate family of statistical tools that you wil ...
A-Cats Corp Case Study, statistics homework help
Identify statistical tools and methods to collect data:1.Identify the appropriate family of statistical tools that you will use to perform your analysis. (The details concerning the statistical tools must include the methods, and particularly the statistical assumptions of the statistical tools and the category of data). What are your statistical assumptions concerning the data that led you to selecting this family of tools? In other words, why did you select this family of tools for statistical analysis? 2 Justify why you chose this tool to analyze the data. Be sure to include how this tool will help predict the use of the data in driving decisions. Describe the quantitative method that will best inform data-driven decisions. Be sure to include how this method will point out the relationships between the data. How will this method allow for the most reliable data? Analyze data to determine the appropriate decision for the identified problem:1.Outline the process needed to utilize your statistical analysis to reach a decision regarding the given problem. .Explain how following this process leads to valid, data-driven decisions. In other words, why is following your outlined process important? 2.Thoroughly addressed the requirements given in the addendum using all the data given in addendum and the A-Cat Corp.: Forecasting document including the use of descriptive statistics, a one-sample t-test, ANOVA, and regression analysis equation as the model for forecasting transformer requirements. After analyzing the data sets in the case study, describe the reliability of the results. Be sure to include how you know whether the results are reliable. Illustrate a data-driven decision that addresses the given problem. How does your decision address the given problem? How will it result in operational improvement? Recommend operational improvements to stakeholders: Summarize your analysis plan for both internal and external stakeholders. Be sure to use audience-appropriate jargon when summarizing for both groups of stakeholders. Explain how your decision addresses the given problem and how you reached that decision. Be sure to use audience appropriate jargon for both groups of stakeholders. Justify why your decision is the best option for addressing the given problem to both internal and external stakeholders and how it will result in operational improvement. Be sure to use audience-appropriate jargon when communicating with stakeholders. Requirements: You will submit a 3-to 4-page paper and a spreadsheet that provides justification of the appropriate statistical tools that are needed to analyze the company’s data, a hypothesis, the results of your analysis, any references from your hypothesis test, and a forecasting model that addresses the company’s problem and your recommendations to management (6) APA sources is required.
Week 5 Assignment: Linear Optimization
The purpose of this assignment is to solve business problems using linear optimization techniques and interpret the resul ...
Week 5 Assignment: Linear Optimization
The purpose of this assignment is to solve business problems using linear optimization techniques and interpret the results to determine optimal solutions for business problems.Using specified data files, chapter example files, and templates from the “Topic 5 Student Data, Template, and Example Files” topic material, complete Chapter 14, Problems 79 (part a), 80 (part a), 81, 86 (part a), and 89 from the textbook. Use Microsoft Excel’s Solver Add-In to complete these problems. For all problems except 89, run the Solver’s Answer and Sensitivity Reports. Interpret and summarize the key results.To receive full credit on the assignment, complete the following.Ensure that all Solver settings are defined through the use of the Solver dialog box.Ensure that Excel files include the associated cell functions and/or formulas if functions and/or formulas are used.Include a written response to all narrative questions presented in the problem by placing it in the associated Excel file.Include Answer and Sensitivity Reports interpretation and summary of key results.Place each problem in its own Excel file. Ensure that your first and last name are in your Excel file names.Chapter 14 Questions are Attached BELOW:
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Maths Assignment.edited
Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval could be enhanced by increas ...
Maths Assignment.edited
Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval could be enhanced by increasing the sample size. Write a ...
GWU Statistics Excel Spreadsheet
Hello!Attached are the questions that need to be on 1 Excel document and clearly labeled (1a, 1b, 1c etc..). Each question ...
GWU Statistics Excel Spreadsheet
Hello!Attached are the questions that need to be on 1 Excel document and clearly labeled (1a, 1b, 1c etc..). Each question should be done on a separate sheet (for a total of 4 sheets).
weight loss program, weights of 40 subjects are recorded, statistics homework help
In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the befo ...
weight loss program, weights of 40 subjects are recorded, statistics homework help
In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the before/after weights result in r = 0.876.Is there sufficient evidence to support a claim of a linear correlation between before/after weights?Does the value of r indicate that the program is effective in reducing weight? Why or why not?1 paragraph
Boston University Time Series in R Composition
This assignment provides practice in decomposing the seasonal time series data and then subtract that effect from the data ...
Boston University Time Series in R Composition
This assignment provides practice in decomposing the seasonal time series data and then subtract that effect from the data and then to show how to address issues of correlations between successive values of the time series. Before beginning this assignment, review the learning resources for this module, especially focus on Decomposing Time Series, Forecasting using Exponential Smoothing and ARIMA Models sections of A Little of R for Time Series by Avril Coghlan. Complete the following steps and write a report to record your work, results and analysis. You may use the attached data sets (average price data and NY benchmarked employment data) or one of time series data from data( ). Please note that some time series are more amenable to time series analysis than others.It is important that you understand data structure and be able to appropriately transform/clean raw data prior to analysis. "Average price data.xlsx" is in the long format. The data series are stacked on top of each other. That is how the data is provided the Bureau of Labor Statistics. The names of variables are provided in the "series" worksheet. You need to pick one series name and use it to filter or subset the data prior to analysis. Some series are better than others. You may want to use only the portions of the series after 2009, since the Great Recession was an one-time event that cannot be modeled.A. Decompose seasonal time series data and subtract that effect from the data:
Identify an appropriate time series data set, this can be a data set in R or a data set you find.
Then, use R to display decompose the seasonal time series and seasonally adjust to subtract the seasonal components from the time series.
In your report, provide insights to the results.
B. Address issues of correlations between successive values of the time series:
Identify an appropriate data set, this can be this can be a data set in R or a data set you find.
Then use R time series functions to address autocorrelation issues in data sets. In many cases you can make a better predictive model by taking correlations in the data into account. Address autocorrelation issues (irregular components of the time series) using a technique called ARIMA (Autoregressive Integrated Moving Average) models for irregular components of time series.
In your report, provide insights to the results.
Report Your assignment/project should have a good cover/title page, introduction of what the goals of the project and the methods you use. It also should follow APA format with at least 1000 words (excluding title page and references page) and references page. In the body of your project you should incorporate the R codes and R outputs with interpretation of your results. Finally, you need to make sense of your results to make good points with proper conclusions, to show your understanding of the course material and its application to the dataset. Graphs, figures, charts, tables are very useful to increase visual effects to impress your readers. You also should do your best to give insight and understanding to the project with a good conclusion. Please use subtitles to make your assignment more reader friendly as well.
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A-Cats Corp Case Study, statistics homework help
Identify statistical tools and methods to collect data:1.Identify the appropriate family of statistical tools that you wil ...
A-Cats Corp Case Study, statistics homework help
Identify statistical tools and methods to collect data:1.Identify the appropriate family of statistical tools that you will use to perform your analysis. (The details concerning the statistical tools must include the methods, and particularly the statistical assumptions of the statistical tools and the category of data). What are your statistical assumptions concerning the data that led you to selecting this family of tools? In other words, why did you select this family of tools for statistical analysis? 2 Justify why you chose this tool to analyze the data. Be sure to include how this tool will help predict the use of the data in driving decisions. Describe the quantitative method that will best inform data-driven decisions. Be sure to include how this method will point out the relationships between the data. How will this method allow for the most reliable data? Analyze data to determine the appropriate decision for the identified problem:1.Outline the process needed to utilize your statistical analysis to reach a decision regarding the given problem. .Explain how following this process leads to valid, data-driven decisions. In other words, why is following your outlined process important? 2.Thoroughly addressed the requirements given in the addendum using all the data given in addendum and the A-Cat Corp.: Forecasting document including the use of descriptive statistics, a one-sample t-test, ANOVA, and regression analysis equation as the model for forecasting transformer requirements. After analyzing the data sets in the case study, describe the reliability of the results. Be sure to include how you know whether the results are reliable. Illustrate a data-driven decision that addresses the given problem. How does your decision address the given problem? How will it result in operational improvement? Recommend operational improvements to stakeholders: Summarize your analysis plan for both internal and external stakeholders. Be sure to use audience-appropriate jargon when summarizing for both groups of stakeholders. Explain how your decision addresses the given problem and how you reached that decision. Be sure to use audience appropriate jargon for both groups of stakeholders. Justify why your decision is the best option for addressing the given problem to both internal and external stakeholders and how it will result in operational improvement. Be sure to use audience-appropriate jargon when communicating with stakeholders. Requirements: You will submit a 3-to 4-page paper and a spreadsheet that provides justification of the appropriate statistical tools that are needed to analyze the company’s data, a hypothesis, the results of your analysis, any references from your hypothesis test, and a forecasting model that addresses the company’s problem and your recommendations to management (6) APA sources is required.
Week 5 Assignment: Linear Optimization
The purpose of this assignment is to solve business problems using linear optimization techniques and interpret the resul ...
Week 5 Assignment: Linear Optimization
The purpose of this assignment is to solve business problems using linear optimization techniques and interpret the results to determine optimal solutions for business problems.Using specified data files, chapter example files, and templates from the “Topic 5 Student Data, Template, and Example Files” topic material, complete Chapter 14, Problems 79 (part a), 80 (part a), 81, 86 (part a), and 89 from the textbook. Use Microsoft Excel’s Solver Add-In to complete these problems. For all problems except 89, run the Solver’s Answer and Sensitivity Reports. Interpret and summarize the key results.To receive full credit on the assignment, complete the following.Ensure that all Solver settings are defined through the use of the Solver dialog box.Ensure that Excel files include the associated cell functions and/or formulas if functions and/or formulas are used.Include a written response to all narrative questions presented in the problem by placing it in the associated Excel file.Include Answer and Sensitivity Reports interpretation and summary of key results.Place each problem in its own Excel file. Ensure that your first and last name are in your Excel file names.Chapter 14 Questions are Attached BELOW:
5 pages
Maths Assignment.edited
Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval could be enhanced by increas ...
Maths Assignment.edited
Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval could be enhanced by increasing the sample size. Write a ...
GWU Statistics Excel Spreadsheet
Hello!Attached are the questions that need to be on 1 Excel document and clearly labeled (1a, 1b, 1c etc..). Each question ...
GWU Statistics Excel Spreadsheet
Hello!Attached are the questions that need to be on 1 Excel document and clearly labeled (1a, 1b, 1c etc..). Each question should be done on a separate sheet (for a total of 4 sheets).
weight loss program, weights of 40 subjects are recorded, statistics homework help
In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the befo ...
weight loss program, weights of 40 subjects are recorded, statistics homework help
In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the before/after weights result in r = 0.876.Is there sufficient evidence to support a claim of a linear correlation between before/after weights?Does the value of r indicate that the program is effective in reducing weight? Why or why not?1 paragraph
Boston University Time Series in R Composition
This assignment provides practice in decomposing the seasonal time series data and then subtract that effect from the data ...
Boston University Time Series in R Composition
This assignment provides practice in decomposing the seasonal time series data and then subtract that effect from the data and then to show how to address issues of correlations between successive values of the time series. Before beginning this assignment, review the learning resources for this module, especially focus on Decomposing Time Series, Forecasting using Exponential Smoothing and ARIMA Models sections of A Little of R for Time Series by Avril Coghlan. Complete the following steps and write a report to record your work, results and analysis. You may use the attached data sets (average price data and NY benchmarked employment data) or one of time series data from data( ). Please note that some time series are more amenable to time series analysis than others.It is important that you understand data structure and be able to appropriately transform/clean raw data prior to analysis. "Average price data.xlsx" is in the long format. The data series are stacked on top of each other. That is how the data is provided the Bureau of Labor Statistics. The names of variables are provided in the "series" worksheet. You need to pick one series name and use it to filter or subset the data prior to analysis. Some series are better than others. You may want to use only the portions of the series after 2009, since the Great Recession was an one-time event that cannot be modeled.A. Decompose seasonal time series data and subtract that effect from the data:
Identify an appropriate time series data set, this can be a data set in R or a data set you find.
Then, use R to display decompose the seasonal time series and seasonally adjust to subtract the seasonal components from the time series.
In your report, provide insights to the results.
B. Address issues of correlations between successive values of the time series:
Identify an appropriate data set, this can be this can be a data set in R or a data set you find.
Then use R time series functions to address autocorrelation issues in data sets. In many cases you can make a better predictive model by taking correlations in the data into account. Address autocorrelation issues (irregular components of the time series) using a technique called ARIMA (Autoregressive Integrated Moving Average) models for irregular components of time series.
In your report, provide insights to the results.
Report Your assignment/project should have a good cover/title page, introduction of what the goals of the project and the methods you use. It also should follow APA format with at least 1000 words (excluding title page and references page) and references page. In the body of your project you should incorporate the R codes and R outputs with interpretation of your results. Finally, you need to make sense of your results to make good points with proper conclusions, to show your understanding of the course material and its application to the dataset. Graphs, figures, charts, tables are very useful to increase visual effects to impress your readers. You also should do your best to give insight and understanding to the project with a good conclusion. Please use subtitles to make your assignment more reader friendly as well.
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