Description
a small plane flying with the wind travels 375 miles in 3 hours. on the return trip, flying against the wind, the same plane takes 5 hours to travel 375 miles. find the rate of the plane in still air and the rate of the wind
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
Let the plane's speed be x
Speed with the air = 375/3=125 miles per hour
Speed against the air = 375/5 =75 miles per hour
Plane's speed = (125+75)/2= 100 miles per hour
Wind's speed = 25 miles per hour
Completion Status:
100%
Review
Review
Anonymous
Really helped me to better understand my coursework. Super recommended.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
8 pages
23079503
Cancer is one of the most dangerous diseases that have led to the death of many people in the world. Cancer has become a c ...
23079503
Cancer is one of the most dangerous diseases that have led to the death of many people in the world. Cancer has become a center of focus in nursing ...
Final Paper Needed, statistics homework help
The final project for this course is the creation of a statistical analysis report.
Each day, operations management profe ...
Final Paper Needed, statistics homework help
The final project for this course is the creation of a statistical analysis report.
Each day, operations management professionals are faced with multiple decisions affecting various aspects of the operation. The ability to use data to drive
decisions is an essential skill that is useful in any facet of an operation. The dynamic environment offers daily challenges that require the talents of the operations
manager; working in this field is exciting and rewarding.
Throughout the course, you will be engaged in activities that charge you with making decisions regarding inventory management, production capacity, product
profitability, equipment effectiveness, and supply chain management. These are just a few of the challenges encountered in the field of operations management.
The final activity in this course will provide you with the opportunity to demonstrate your ability to apply statistical tools and methods to solve a problem in a
given scenario that is often encountered by an operations manager. Once you have outlined your analysis strategy and analyzed your data, you will then report
your data, strategy, and overall decision that addresses the given problem.
The project is divided into two milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final
submissions. These milestones will be submitted in Modules Three and Seven. The final project is due in Module Nine.
In this assignment, you will demonstrate your mastery of the following course outcomes:
Apply data-based strategies in guiding a focused approach for improving operational processes
Determine the appropriate statistical methods for informing valid data-driven decision making in professional settings
Select statistical tools for guiding data-driven decision making resulting in sustainable operational processes
Utilize a structured approach for data-driven decision making for fostering continuous improvement activities
Propose operational improvement recommendations to internal and external stakeholders based on relevant data
Prompt
Operations management professionals are often relied upon to make decisions regarding operational processes. Those who utilize a data-driven, structured
approach have a clear advantage over those offering decisions based solely on intuition. You will be provided with a scenario often encountered by an operations
manager. Your task is to review the “A-Cat Corp.: Forecasting” scenario, the addendum, and the accompanying data in the case scenario and addendum; outline
the appropriate analysis strategy; select a suitable statistical tool; and use data analysis to ultimately drive the decision. Once this has been completed, you will
be challenged to present your data, data analysis strategy, and overall decision in a concise report, justifying your analysis.
Specifically, the following critical elements must be addressed:
I. Introduction to the problem:
A. Provide a concise description of the scenario that you will be analyzing. The following questions might help you describe the scenario: What is
the type of organization identified in the scenario? What is the organization’s history and problem identified in the scenario? Who are the key
internal and external stakeholders?
II. Create an analysis plan to guide your analysis and decision making:
A. Identify any quantifiable factors that may be affecting the performance of operational processes. Provide a concise explanation of how these
factors may be affecting the operational processes.
B. Develop a problem statement that addresses the given problem in the scenario and contains quantifiable measures.
C. Propose a strategy that addresses the problem of the organization in the given case study and seeks to improve sustainable operational
processes. How will adjustments be identified and made?
III. Identify statistical tools and methods to collect data:
A. Identify the appropriate family of statistical tools that you will use to perform your analysis. 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?
B. Determine the category of the provided data in the given case study. Be sure to justify why the data fits into this category type. What is the
relationship between the type of data and the tools?
C. From the identified family of statistical tools, select the most appropriate tool(s) for analyzing the data provided in the given case study.
D. 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.
E. 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?
IV. Analyze data to determine the appropriate decision for the identified problem:
A. Outline the process needed to utilize your statistical analysis to reach a decision regarding the given problem.
B. Explain how following this process leads to valid, data-driven decisions. In other words, why is following your outlined process important?
C. 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.
D. 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?
V. Recommend operational improvements to stakeholders:
A. Summarize your analysis plan for both internal and external stakeholders. Be sure to use audience-appropriate jargon when summarizing for
both groups of stakeholders.
B. 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.
C. 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.
Milestones
Milestone One: Introduction and Analysis Plan
In Module Three, you will submit your introduction and analysis plan, which are critical elements I and II. You will submit a 3- to 4-page paper that describes the
scenario provided in the case study, identifies quantifiable factors that may affect operational performance, develops a problem statement, and proposes a
strategy for resolving a company’s problem. This milestone will be graded with the Module One Rubric.
Milestone Two: Statistical Tools and Data Analysis
In Module Seven, you will submit your selection of statistical tools and data analysis, which are critical elements III and IV. 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 inferences from your hypothesis test, and a forecasting model that addresses the company’s problem. This milestone will be graded with the
Module Two Rubric.
Final Project Submission: Statistical Analysis Report
In Module Nine, you will submit your statistical analysis report and recommendations to management. It should be a complete, polished artifact containing all
of the critical elements of the final product. It should reflect the incorporation of feedback gained throughout the course. This submission will be graded with the
Final Project Rubric.
Final Project Rubric
Guidelines for Submission: Your statistical analysis report must be 10–12 pages in length (plus a cover page and references) and must be written in APA format.
Use double spacing, 12-point Times New Roman font, and one-inch margins. Include at least six references cited in APA format.
MATH 302 American Military Significant Evaluation of the Cost of Living Report Paper
Turnitin®This assignment will be submitted to Turnitin®.Final Project Assignment InstructionsScenario Background:A marke ...
MATH 302 American Military Significant Evaluation of the Cost of Living Report Paper
Turnitin®This assignment will be submitted to Turnitin®.Final Project Assignment InstructionsScenario Background:A marketing company based out of New York City is doing well and is looking to expand internationally. The CEO and VP of Operations decide to enlist the help of a consulting firm that you work for, to help collect data and analyze market trends.You work for Mercer Human Resources. The Mercer Human Resource Consulting website lists prices of certain items in selected cities around the world. They also report an overall cost-of-living index for each city compared to the costs of hundreds of items in New York City (NYC). For example, London at 85.65 is 14.35% less expensive than NYC.More specifically, if you choose to explore the website further you will find a lot of fun and interesting data. You can explore the website more on your own after the course concludes.https://mobilityexchange.mercer.com/Insights/ cost-of-living-rankings#rankingsThe 2020 data was collected from the following source: https://www.numbeo.com/cost-of-living/Assignment Guidance:In the Excel document, you will find the 2020 data for 17 cities in the data set Cost of Living. Included are the 2020 cost of living index, cost of a 1-bedroom apartment (per month), monthly transportation pass, loaf of white bread (500g), 1 liter of milk, mid-range bottle of wine, Café Cappuccino, and average monthly net salary after taxes. All prices are in U.S. dollars.I have used this data to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics. This analysis is provided in the Excel output (that is, the MLR has already been calculated. Your task is to interpret the data).Based on this information, in which city should you open a second office in? You must justify your answer. Recommend 2 or 3 different cities and rank them based on the data and your findings.Deliverable Requirements:This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font. You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression.The format of this assignment will be an Executive Summary. Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level. This needs to be written up neatly and professionally. This would be something you would present at a board meeting in a corporate environment. If you are unsure of an Executive Summary, this resource can help with an overview. What is an Executive Summary?Things to Consider:To help you make this decision here are some things to consider:Based on the MLR output, what variable(s) is/are significant?From the significant predictors, review the mean, median, min, max, Q1 and Q3 values?It might be a good idea to compare these values to what the New York value is for that variable. Remember New York is the baseline as that is where headquarters are located.Based on the descriptive statistics, for the significant predictors, what city has the best potential?What city or cities fall are below the median?What city or cities are in the upper 3rd quartile?READ the attachments! Make sure that you understand how the project will be graded. If you have any questions, please let me know ASAP. *Note, in the attachment "Final Project Grading Criteria," under 5e, this document states that London has a Cost of Living Index of 88.33. This number is from 2018. Please ignore this, and recognized that the 2020 the Cost of Living Index for London is 85.65.
2 pages
P Value
The p-value is used in deciding the implication of a claim in a statistical hypothesis test. It helps in establishing the ...
P Value
The p-value is used in deciding the implication of a claim in a statistical hypothesis test. It helps in establishing the validity of a statement made ...
Similar Content
Reducing matrix to reduced echelon form
Reduce the matrix to its reduced echelon form.2643512−203=_______|__________|_________|___...
Geometry homework help please
If polygon ABCD rotates 90° counterclockwise about the origin to create polygon A′B′C′D′, what are the coordinate...
MAC 1105 MDC Finding Intercept Points & Evaluating Straight Lines Exercise
i'll send the picture of the excercise as soon you accept my question by message ...
Solve x+5=7 for x HelpHelpHelp
Solve x+5=7 for x...
4 math assignment
4 math assignments ,unlimited time to do it until l you get 100%. easy...
Find the area of the region enclosed by these graphs and the vertical lines
...
Waves
This evaluation will cover the lessons in this unit. It is open book, meaning you can use your textbook, syllabus, and oth...
Integration Of A Curve 2
is known as area under the curve in the range of 0 to 6 area under the curve can be estimated in following steps...
9q
Truckloads of waste contaminated with cadmium may either be sent to a sanitary landfill or a hazardous waste landfill. The...
Related Tags
Book Guides
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
8 pages
23079503
Cancer is one of the most dangerous diseases that have led to the death of many people in the world. Cancer has become a c ...
23079503
Cancer is one of the most dangerous diseases that have led to the death of many people in the world. Cancer has become a center of focus in nursing ...
Final Paper Needed, statistics homework help
The final project for this course is the creation of a statistical analysis report.
Each day, operations management profe ...
Final Paper Needed, statistics homework help
The final project for this course is the creation of a statistical analysis report.
Each day, operations management professionals are faced with multiple decisions affecting various aspects of the operation. The ability to use data to drive
decisions is an essential skill that is useful in any facet of an operation. The dynamic environment offers daily challenges that require the talents of the operations
manager; working in this field is exciting and rewarding.
Throughout the course, you will be engaged in activities that charge you with making decisions regarding inventory management, production capacity, product
profitability, equipment effectiveness, and supply chain management. These are just a few of the challenges encountered in the field of operations management.
The final activity in this course will provide you with the opportunity to demonstrate your ability to apply statistical tools and methods to solve a problem in a
given scenario that is often encountered by an operations manager. Once you have outlined your analysis strategy and analyzed your data, you will then report
your data, strategy, and overall decision that addresses the given problem.
The project is divided into two milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final
submissions. These milestones will be submitted in Modules Three and Seven. The final project is due in Module Nine.
In this assignment, you will demonstrate your mastery of the following course outcomes:
Apply data-based strategies in guiding a focused approach for improving operational processes
Determine the appropriate statistical methods for informing valid data-driven decision making in professional settings
Select statistical tools for guiding data-driven decision making resulting in sustainable operational processes
Utilize a structured approach for data-driven decision making for fostering continuous improvement activities
Propose operational improvement recommendations to internal and external stakeholders based on relevant data
Prompt
Operations management professionals are often relied upon to make decisions regarding operational processes. Those who utilize a data-driven, structured
approach have a clear advantage over those offering decisions based solely on intuition. You will be provided with a scenario often encountered by an operations
manager. Your task is to review the “A-Cat Corp.: Forecasting” scenario, the addendum, and the accompanying data in the case scenario and addendum; outline
the appropriate analysis strategy; select a suitable statistical tool; and use data analysis to ultimately drive the decision. Once this has been completed, you will
be challenged to present your data, data analysis strategy, and overall decision in a concise report, justifying your analysis.
Specifically, the following critical elements must be addressed:
I. Introduction to the problem:
A. Provide a concise description of the scenario that you will be analyzing. The following questions might help you describe the scenario: What is
the type of organization identified in the scenario? What is the organization’s history and problem identified in the scenario? Who are the key
internal and external stakeholders?
II. Create an analysis plan to guide your analysis and decision making:
A. Identify any quantifiable factors that may be affecting the performance of operational processes. Provide a concise explanation of how these
factors may be affecting the operational processes.
B. Develop a problem statement that addresses the given problem in the scenario and contains quantifiable measures.
C. Propose a strategy that addresses the problem of the organization in the given case study and seeks to improve sustainable operational
processes. How will adjustments be identified and made?
III. Identify statistical tools and methods to collect data:
A. Identify the appropriate family of statistical tools that you will use to perform your analysis. 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?
B. Determine the category of the provided data in the given case study. Be sure to justify why the data fits into this category type. What is the
relationship between the type of data and the tools?
C. From the identified family of statistical tools, select the most appropriate tool(s) for analyzing the data provided in the given case study.
D. 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.
E. 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?
IV. Analyze data to determine the appropriate decision for the identified problem:
A. Outline the process needed to utilize your statistical analysis to reach a decision regarding the given problem.
B. Explain how following this process leads to valid, data-driven decisions. In other words, why is following your outlined process important?
C. 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.
D. 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?
V. Recommend operational improvements to stakeholders:
A. Summarize your analysis plan for both internal and external stakeholders. Be sure to use audience-appropriate jargon when summarizing for
both groups of stakeholders.
B. 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.
C. 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.
Milestones
Milestone One: Introduction and Analysis Plan
In Module Three, you will submit your introduction and analysis plan, which are critical elements I and II. You will submit a 3- to 4-page paper that describes the
scenario provided in the case study, identifies quantifiable factors that may affect operational performance, develops a problem statement, and proposes a
strategy for resolving a company’s problem. This milestone will be graded with the Module One Rubric.
Milestone Two: Statistical Tools and Data Analysis
In Module Seven, you will submit your selection of statistical tools and data analysis, which are critical elements III and IV. 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 inferences from your hypothesis test, and a forecasting model that addresses the company’s problem. This milestone will be graded with the
Module Two Rubric.
Final Project Submission: Statistical Analysis Report
In Module Nine, you will submit your statistical analysis report and recommendations to management. It should be a complete, polished artifact containing all
of the critical elements of the final product. It should reflect the incorporation of feedback gained throughout the course. This submission will be graded with the
Final Project Rubric.
Final Project Rubric
Guidelines for Submission: Your statistical analysis report must be 10–12 pages in length (plus a cover page and references) and must be written in APA format.
Use double spacing, 12-point Times New Roman font, and one-inch margins. Include at least six references cited in APA format.
MATH 302 American Military Significant Evaluation of the Cost of Living Report Paper
Turnitin®This assignment will be submitted to Turnitin®.Final Project Assignment InstructionsScenario Background:A marke ...
MATH 302 American Military Significant Evaluation of the Cost of Living Report Paper
Turnitin®This assignment will be submitted to Turnitin®.Final Project Assignment InstructionsScenario Background:A marketing company based out of New York City is doing well and is looking to expand internationally. The CEO and VP of Operations decide to enlist the help of a consulting firm that you work for, to help collect data and analyze market trends.You work for Mercer Human Resources. The Mercer Human Resource Consulting website lists prices of certain items in selected cities around the world. They also report an overall cost-of-living index for each city compared to the costs of hundreds of items in New York City (NYC). For example, London at 85.65 is 14.35% less expensive than NYC.More specifically, if you choose to explore the website further you will find a lot of fun and interesting data. You can explore the website more on your own after the course concludes.https://mobilityexchange.mercer.com/Insights/ cost-of-living-rankings#rankingsThe 2020 data was collected from the following source: https://www.numbeo.com/cost-of-living/Assignment Guidance:In the Excel document, you will find the 2020 data for 17 cities in the data set Cost of Living. Included are the 2020 cost of living index, cost of a 1-bedroom apartment (per month), monthly transportation pass, loaf of white bread (500g), 1 liter of milk, mid-range bottle of wine, Café Cappuccino, and average monthly net salary after taxes. All prices are in U.S. dollars.I have used this data to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics. This analysis is provided in the Excel output (that is, the MLR has already been calculated. Your task is to interpret the data).Based on this information, in which city should you open a second office in? You must justify your answer. Recommend 2 or 3 different cities and rank them based on the data and your findings.Deliverable Requirements:This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font. You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression.The format of this assignment will be an Executive Summary. Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level. This needs to be written up neatly and professionally. This would be something you would present at a board meeting in a corporate environment. If you are unsure of an Executive Summary, this resource can help with an overview. What is an Executive Summary?Things to Consider:To help you make this decision here are some things to consider:Based on the MLR output, what variable(s) is/are significant?From the significant predictors, review the mean, median, min, max, Q1 and Q3 values?It might be a good idea to compare these values to what the New York value is for that variable. Remember New York is the baseline as that is where headquarters are located.Based on the descriptive statistics, for the significant predictors, what city has the best potential?What city or cities fall are below the median?What city or cities are in the upper 3rd quartile?READ the attachments! Make sure that you understand how the project will be graded. If you have any questions, please let me know ASAP. *Note, in the attachment "Final Project Grading Criteria," under 5e, this document states that London has a Cost of Living Index of 88.33. This number is from 2018. Please ignore this, and recognized that the 2020 the Cost of Living Index for London is 85.65.
2 pages
P Value
The p-value is used in deciding the implication of a claim in a statistical hypothesis test. It helps in establishing the ...
P Value
The p-value is used in deciding the implication of a claim in a statistical hypothesis test. It helps in establishing the validity of a statement made ...
Earn money selling
your Study Documents