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Write a tangent function, h(x), such that the halfway points on one period are (-pi/2, -2) and (pi/2, 4).
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the tangent function is tan(x+pi/2)-2
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Article Analysis 2
Search the GCU Library and find two new health care articles that use quantitative research. Do not use articles from a pr ...
Article Analysis 2
Search the GCU Library and find two new health care articles that use quantitative research. Do not use articles from a previous assignment, or articles that appear in the Topic Materials or textbook.Complete an article analysis for each using the "Article Analysis: Part 2" template.Refer to the "Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial," in conjunction with the "Article Analysis Example 2," for an example of an article analysis.While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
Conduct Quantitative Business Analysis Excel Task
This project will help you advise your company’s management on the cost of doing business, how to achieve success in inc ...
Conduct Quantitative Business Analysis Excel Task
This project will help you advise your company’s management on the cost of doing business, how to achieve success in income revenues, and make recommendations on the allocation of salaries across the company. Management will be able to use your analysis to fairly adjust salary anomalies, and also show profitability which might be used for further investments, hiring additional staff, or even employee incentive pay.Over this two-week period, you will use mathematical operations and data analysis to solve problems and inform decision making. Your final assignment will be the creation of a comprehensive Excel workbook with supporting charts and graphs and a short analysis of the data.This project will enable you to refresh and refine your skills in math and statistics before you tackle a real-world data set using Excel to analyze and display the data.Quantitative reasoning uses a process similar to the qualitative research process in that you will first identify an issue or problem and then use mathematical formulas or an analytic tool to derive a solution. You will construct graphs, charts, and tables to display data and inform analysis and interpretation. You will evaluate the results of the information, draw analyses and validate them by applying them to the issue or problem.This project will enable you to see the connection between data and how the use of quantitative analysis of that data informs solutions to practical problems with potential impact on your organization or industry.There are 10 steps that will lead you through this project. Each step should take no more than two hours to complete. Begin by watching the video above, which introduces the project as it might occur in the workplace, and then continue with Step 1: Refresh Your Math, Statistics, and Excel Skills.Step 1: Refresh Your Math, Statistics and Excel Skills Everyone will begin this project with different background skills in math, statistics and Excel. Let’s start by thinking about what it means to engage in quantitative processes and the role these skills play in this project.Next, assess your current baseline by refreshing your skills in math, statistics, and Excel. You will choose how much you already know and where you need to concentrate more attention in order to complete this quantitative analysis project.After this refresher, you will create a spreadsheet based on the template provided in the next step.If you need help outside the classroom, register for the STAT 689 tutoring room (go to the Project 4 Discussion for registration information) in which you can access tutoring help and other resources to complete this project successfully. Help is free and immediate.Step 2: Set Up Your Spreadsheet Now that you’ve assessed and refreshed these important skills, you’re ready to begin. First download the Excel template and use it to set up your spreadsheet. This step has you set up a basic view in preparation for the use of several tools.After you’ve formatted and set up the basic view and saved it with your name, you’re ready to move to the next step and add data.Step 3: Add Data With the spreadsheet set up and saved with your last name, you're ready to add data. In Section 1 on the Data page, complete each column of the spreadsheet to arrive at the desired calculations.When you're ready, move on to the next step, where you will use functions to summarize the data.Step 4: Use Functions to Summarize the Data With the data built, you are ready to start using tools to summarize the data, using Countif and the Sum function to do the math. In this step, you'll begin to see patterns in the data and the story of the workforce.Take a breather here if you need it. You should strive to work through the first four steps this week. Check in with your instructor.With this step complete, you’re ready to begin your analysis.Step 5: Analyze the Workforce You’ve summarized the data. Next, you will employ descriptive or summary statistics to analyze the workforce. Your summary tables described "how many." Now you will calculate mean, median, and mode for the categories of data, and derive the deviation, variance, and dispersion, and distribution. This is where it gets interesting.You will be working in Section 3 of the Data tab in the spreadsheet to complete the descriptive statistics for the five categories (Salary, Hourly Rate, Years of Service, Education, and Age). Using Excel formulas, complete the table.After you have used Excel formulas to find this information, you will next use the Toolpak to find summary statistics.Step 6: Use the Analysis Toolpak Your data set is now built. Now, you will use the same functions to perform the Descriptive Analysis Using the Analysis Toolpak. This is a handy feature to know. Remember that there may be some minor differences in the answers depending on the version.You should now have Tab 2 complete: Excel Summary Stats. Next, you'll create charts and a histogram for Tabs 3 and 4.Step 7: Create Charts and a Histogram Where would we be without the ability to view data in charts? It is sometimes easier to grasp the context of data if it is captured in an image. In this step, you will work with data to create charts, adding a tab for charts, and another for a histogram.In this step, you will build Tab 3: Graphs—Charts and Tab 4: Histogram. After you complete these tabs, you’ll be ready to sort the data.Step 8: Copy and Sort the Data You’ve accomplished a lot with the data set, summary stats, charts, and histograms. Another skill you’ll need to be able to do is sorting data in an Excel worksheet for reporting purposes. You’ll copy the data so that you can learn how to sort it. This is a good skill that applies to any Excel application.In this step, you will create Tab 5: Sorted Data. When you’re finished, you’ll be ready to conduct a quantitative analysis.See below for example of a sorted spreadsheet.Used with permission from Microsoft.Step 9: Conduct Quantitative AnalysisIn this step, your hard work bears fruit. What does it all mean? Think back to your boss's reasons for tasking you with this project. Bring your powers of analysis to bear to determine what the data may be telling you. Apply your quantitative reasoning skills to answer five questions that demonstrate your interpretation of the data. The questions are located on the QR Questions_Responses tab in your workbook.After answering the five questions, finish the project by writing a short essay. The essay will include:a one-paragraph narrative summary of your findings, describing patterns of interestan explanation of the potential relevance of such patternsa description of how you would investigate further to determine if your results could be perceived as good or bad for the company.Prepare your responses in your workbook on the QR Questions_Responses tab.Good job! In the next step, you’ll submit the workbook and analysis.Step 10: Submit Your Completed Workbook and Analysis You’re now ready to submit the workbook and analysis for review and feedback. Review the requirements for the final deliverable to be sure you have:Excel Workbook with Six TabsTab 1: Data – completed data sheet (Steps 1–6 above)Tab 2: Excel Summary Stats (Step 6)Tab 3: Graphs – Charts (Step 7)Tab 4: Histogram (Step 7)Tab 5: Sorted Data (Step 8)Quantitative Analysis (Step 9; see detail below and move to first position upon completion.)Quantitative Analysis: Answers to Questions and Short EssayPrepare your response in this workbook. Create a tab for Quantitative Analysis, create a text box, and paste your answers to the questions in it. Move the Quantitative Analysis tab to the first tab position.Your final workbook tabs:Quantitative AnalysisDataExcel Summary StatsGraphs–ChartsHistogramSorted DataFormat to Be PrintedFormat this workbook so that all the spreadsheets can be printed.
SNHU Median Housing Price Prediction Models Worksheet
Recall that samples are used to generate a statistic, which businesses use to estimate the population parameter. You have ...
SNHU Median Housing Price Prediction Models Worksheet
Recall that samples are used to generate a statistic, which businesses use to estimate the population parameter. You have learned how to take samples from populations and use them to produce statistics. For two quantitative variables, businesses can use scatterplots and the correlation coefficient to explore a potential linear relationship. Furthermore, they can quantify the relationship in a regression equation.PromptThis assignment picks up where the Module Two assignment left off and will use components of that assignment as a foundation.You have submitted your initial analysis to the sales team at D.M. Pan Real Estate Company. You will continue your analysis of the provided Real Estate County Data spreadsheet using your selected region to complete your analysis. You may refer back to the initial report you developed in the Module Two Assignment Template to continue the work. This document and the National Statistics and Graphs spreadsheet will support your work on the assignment.Note: In the report you prepare for the sales team, the dependent, or response, variable (y) should be the median listing price and the independent, or predictor, variable (x) should be the median square feet.Using the Module Three Assignment Template, specifically address the following:Regression Equation: Provide the regression equation for the line of best fit using the scatterplot from the Module Two assignment.Determine r: Determine r and what it means. (What is the relationship between the variables?)Determine the strength of the correlation (weak, moderate, or strong).Discuss how you determine the direction of the association between the two variables.Is there a positive or negative association?What do you see as the direction of the correlation?Examine the Slope and Intercepts: Examine the slopeb1{"version":"1.1","math":"b1"} and intercept b0{"version":"1.1","math":"b0"}.Draw conclusions from the slope and intercept in the context of this problem.Does the intercept make sense based on your observation of the line of best fit?Determine the value of the land only.Note: You can assume, when the square footage of the house is zero, that the price is the value of just the land. This happens when x=0, which is the y-intercept.Determine the R-squared Coefficient: Determine the R-squared value.Discuss what R-squared means in the context of this analysis.Conclusions: Reflect on the Relationship: Reflect on the relationship between square feet and sales price by answering the following questions:Is the square footage for homes in your selected region different than for homes overall in the United States?For every 100 square feet, how much does the price go up (i.e., can you use slope to help identify price changes)?Use the regression equation to estimate how much you would list your house for if it was 1,200 square feet.What square footage range would the graph be best used for?Guidelines for SubmissionSubmit your completed Module Three Assignment Template as a Word document that includes your response and supporting charts/graphs. The following resources support your work on this assignment:Module Three Assignment RubricCriteriaExemplaryProficientNeeds ImprovementNot EvidentValueRegression EquationN/AProvides the regression equation for the line of best fit (100%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include an inaccurate equation (55%)Does not attempt criterion (0%)10Determine rExceeds proficiency in an exceptionally clear manner (100%)Describes the direction, strength of correlation, and association between the variables (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include missing one or more of the following: direction, strength of correlation, or association between the variables (55%)Does not attempt criterion (0%)20Examine the Slope and InterceptExceeds proficiency in an exceptionally clear manner (100%)Draws conclusions from the slope and intercept in context, makes predictions, determines the value of only the land (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include missing one or more of the following: conclusions from the slope and intercept in context, predictions, or the value of only the land (55%)Does not attempt criterion (0%)20Determine the R-squared CoefficientExceeds proficiency in an exceptionally clear manner (100%)Determines the R-squared coefficient and explains it in context (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include an inaccurate determination of the R-squared coefficient or an explanation that is out of context (55%)Does not attempt criterion (0%)20]Conclusions: Reflect on the RelationshipExceeds proficiency in an exceptionally clear, insightful, or sophisticated manner (100%)Reflects on the relationship between square feet and sales price (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include a reflection on the relationship between variables that is missing components (55%)Does not attempt criterion (0%)20Articulation of ResponseExceeds proficiency in an exceptionally clear, insightful, sophisticated, or creative manner (100%)Clearly conveys meaning with correct grammar, sentence structure, and spelling, demonstrating an understanding of audience and purpose (85%)Shows progress toward proficiency, but with errors in grammar, sentence structure, and spelling, negatively impacting readability (55%)Submission has critical errors in grammar, sentence structure, and spelling, preventing understanding of ideas (0%)10Tota
MTH122 CSU Global Fencing a Farmer’s Field
Option #1: Fencing a Farmer’s FieldAs a farmer, suppose you want to fence off a rectangular field that borders a river. ...
MTH122 CSU Global Fencing a Farmer’s Field
Option #1: Fencing a Farmer’s FieldAs a farmer, suppose you want to fence off a rectangular field that borders a river. You wish to find out the dimensions of the field that occupies the largest area, if you have 2000 feet of fencing. Remember that a square maximizes area, so use a square in your work.Draw several diagrams to express the situation and calculate the area for each configuration, then estimate the dimension of largest possible field.Find the function that models the area in terms of one of its sides.Find the point that maximizes the function you found in the second bulleted item.Calculate the area of the field at the point you found in the third bulleted item, and then compare your results with the results in the first bulleted item.Requirements:Paper must be written in 3rdYour paper should be 4-5 pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. The CSU-Global Library (Links to an external site.)Links to an external site.is a great place to find resources. Your textbook is a credible resource.Include a title page, introduction, body, conclusion, and a reference page.The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society as a whole, or it might discuss or describe the unique terminology associated with the topic.The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment.The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs.Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.Document formatting, citations, and style should be in APA style
STAT Walden University Week 3 Applying Probability Distributions Problems
What are some ways that you can apply probability distributions in your personal life? In a given month for example, how m ...
STAT Walden University Week 3 Applying Probability Distributions Problems
What are some ways that you can apply probability distributions in your personal life? In a given month for example, how many eggs do you typically buy? Then, how many do you eat compared to the number you throw away because they have expired? If you have collected this data, it might help inform your decision at the grocery store to either buy more, fewer, or even no eggs. Also, while you are at the grocery store, if you know the average milk prices and standard deviation, then you might consider buying a gallon that costs a little more or you might think it is worth the second trip to get it cheaper elsewhere. How might you apply these concepts to business situations? Consider different ways that probability distributions could be applied to materials, labor costs and estimations, sales reports, and so on.In this Assignment, you will respond to a set of questions that provide real-world examples of how probability distributions can be used to make better decisions, improve performance, and predict outcomes.Submit your responses to the following prompts.A market-research firm was hired to determine the percentage of people in a market area who would purchase a client’s magazine if a door-to-door sales campaign were undertaken. The firm stated that 40% would buy if contacted at home. Suppose the marketing company has tried the sales campaign at 300 randomly selected homes. (150–225 words, or 2–3 paragraphs)Assuming the market research was done properly and the 40% is representative, how many sales are expected if the publisher attempts to sell to 5,000 homes?If the market research was accurate, what is the probability that fewer than 100 individuals will buy? Use the normal approximation to the binomial.Suppose that the publisher actually sells the magazine to 70 people out of the 300 contacted. What would you conclude about the market research? About the campaign?A steel mill produces alloy sheets used for the bodies of automobiles. The mill produces sheets with an average thickness of 0.517 inches and a standard deviation of 0.037 inches. A new car model requires alloy sheets between 0.495 and 0.525 inches thick. What percentage of the sheets made by the mill will be suitable for the new car model? Explain your answer. (75 words, or 1 paragraph)The VP of HR for a large company is interested in the distribution of sick-leave hours for employees at the company. A recent study revealed that the distribution was consistent with a normal model, with a mean of 58 hours per year, and a standard deviation of 14 hours. An office manager of one division believes that during the past year, two of the division’s employees have taken excessive sick leave. One took 74 hours and the other used 90 hours. What would you conclude about the division manager’s claim, and why? (75 words, or 1 paragraph)Each month, an American household generates an average of 28 pounds of newspaper for garbage and/or recycling. Assume this is approximately normally distributed and that the standard deviation is 2 pounds. If a household is selected at random, find the probability of it generating between 27–31 pounds per month. (75 words, or 1 paragraph)Note: For each prompt, be sure to reference at least one scholarly source to support your answer.
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Article Analysis 2
Search the GCU Library and find two new health care articles that use quantitative research. Do not use articles from a pr ...
Article Analysis 2
Search the GCU Library and find two new health care articles that use quantitative research. Do not use articles from a previous assignment, or articles that appear in the Topic Materials or textbook.Complete an article analysis for each using the "Article Analysis: Part 2" template.Refer to the "Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial," in conjunction with the "Article Analysis Example 2," for an example of an article analysis.While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
Conduct Quantitative Business Analysis Excel Task
This project will help you advise your company’s management on the cost of doing business, how to achieve success in inc ...
Conduct Quantitative Business Analysis Excel Task
This project will help you advise your company’s management on the cost of doing business, how to achieve success in income revenues, and make recommendations on the allocation of salaries across the company. Management will be able to use your analysis to fairly adjust salary anomalies, and also show profitability which might be used for further investments, hiring additional staff, or even employee incentive pay.Over this two-week period, you will use mathematical operations and data analysis to solve problems and inform decision making. Your final assignment will be the creation of a comprehensive Excel workbook with supporting charts and graphs and a short analysis of the data.This project will enable you to refresh and refine your skills in math and statistics before you tackle a real-world data set using Excel to analyze and display the data.Quantitative reasoning uses a process similar to the qualitative research process in that you will first identify an issue or problem and then use mathematical formulas or an analytic tool to derive a solution. You will construct graphs, charts, and tables to display data and inform analysis and interpretation. You will evaluate the results of the information, draw analyses and validate them by applying them to the issue or problem.This project will enable you to see the connection between data and how the use of quantitative analysis of that data informs solutions to practical problems with potential impact on your organization or industry.There are 10 steps that will lead you through this project. Each step should take no more than two hours to complete. Begin by watching the video above, which introduces the project as it might occur in the workplace, and then continue with Step 1: Refresh Your Math, Statistics, and Excel Skills.Step 1: Refresh Your Math, Statistics and Excel Skills Everyone will begin this project with different background skills in math, statistics and Excel. Let’s start by thinking about what it means to engage in quantitative processes and the role these skills play in this project.Next, assess your current baseline by refreshing your skills in math, statistics, and Excel. You will choose how much you already know and where you need to concentrate more attention in order to complete this quantitative analysis project.After this refresher, you will create a spreadsheet based on the template provided in the next step.If you need help outside the classroom, register for the STAT 689 tutoring room (go to the Project 4 Discussion for registration information) in which you can access tutoring help and other resources to complete this project successfully. Help is free and immediate.Step 2: Set Up Your Spreadsheet Now that you’ve assessed and refreshed these important skills, you’re ready to begin. First download the Excel template and use it to set up your spreadsheet. This step has you set up a basic view in preparation for the use of several tools.After you’ve formatted and set up the basic view and saved it with your name, you’re ready to move to the next step and add data.Step 3: Add Data With the spreadsheet set up and saved with your last name, you're ready to add data. In Section 1 on the Data page, complete each column of the spreadsheet to arrive at the desired calculations.When you're ready, move on to the next step, where you will use functions to summarize the data.Step 4: Use Functions to Summarize the Data With the data built, you are ready to start using tools to summarize the data, using Countif and the Sum function to do the math. In this step, you'll begin to see patterns in the data and the story of the workforce.Take a breather here if you need it. You should strive to work through the first four steps this week. Check in with your instructor.With this step complete, you’re ready to begin your analysis.Step 5: Analyze the Workforce You’ve summarized the data. Next, you will employ descriptive or summary statistics to analyze the workforce. Your summary tables described "how many." Now you will calculate mean, median, and mode for the categories of data, and derive the deviation, variance, and dispersion, and distribution. This is where it gets interesting.You will be working in Section 3 of the Data tab in the spreadsheet to complete the descriptive statistics for the five categories (Salary, Hourly Rate, Years of Service, Education, and Age). Using Excel formulas, complete the table.After you have used Excel formulas to find this information, you will next use the Toolpak to find summary statistics.Step 6: Use the Analysis Toolpak Your data set is now built. Now, you will use the same functions to perform the Descriptive Analysis Using the Analysis Toolpak. This is a handy feature to know. Remember that there may be some minor differences in the answers depending on the version.You should now have Tab 2 complete: Excel Summary Stats. Next, you'll create charts and a histogram for Tabs 3 and 4.Step 7: Create Charts and a Histogram Where would we be without the ability to view data in charts? It is sometimes easier to grasp the context of data if it is captured in an image. In this step, you will work with data to create charts, adding a tab for charts, and another for a histogram.In this step, you will build Tab 3: Graphs—Charts and Tab 4: Histogram. After you complete these tabs, you’ll be ready to sort the data.Step 8: Copy and Sort the Data You’ve accomplished a lot with the data set, summary stats, charts, and histograms. Another skill you’ll need to be able to do is sorting data in an Excel worksheet for reporting purposes. You’ll copy the data so that you can learn how to sort it. This is a good skill that applies to any Excel application.In this step, you will create Tab 5: Sorted Data. When you’re finished, you’ll be ready to conduct a quantitative analysis.See below for example of a sorted spreadsheet.Used with permission from Microsoft.Step 9: Conduct Quantitative AnalysisIn this step, your hard work bears fruit. What does it all mean? Think back to your boss's reasons for tasking you with this project. Bring your powers of analysis to bear to determine what the data may be telling you. Apply your quantitative reasoning skills to answer five questions that demonstrate your interpretation of the data. The questions are located on the QR Questions_Responses tab in your workbook.After answering the five questions, finish the project by writing a short essay. The essay will include:a one-paragraph narrative summary of your findings, describing patterns of interestan explanation of the potential relevance of such patternsa description of how you would investigate further to determine if your results could be perceived as good or bad for the company.Prepare your responses in your workbook on the QR Questions_Responses tab.Good job! In the next step, you’ll submit the workbook and analysis.Step 10: Submit Your Completed Workbook and Analysis You’re now ready to submit the workbook and analysis for review and feedback. Review the requirements for the final deliverable to be sure you have:Excel Workbook with Six TabsTab 1: Data – completed data sheet (Steps 1–6 above)Tab 2: Excel Summary Stats (Step 6)Tab 3: Graphs – Charts (Step 7)Tab 4: Histogram (Step 7)Tab 5: Sorted Data (Step 8)Quantitative Analysis (Step 9; see detail below and move to first position upon completion.)Quantitative Analysis: Answers to Questions and Short EssayPrepare your response in this workbook. Create a tab for Quantitative Analysis, create a text box, and paste your answers to the questions in it. Move the Quantitative Analysis tab to the first tab position.Your final workbook tabs:Quantitative AnalysisDataExcel Summary StatsGraphs–ChartsHistogramSorted DataFormat to Be PrintedFormat this workbook so that all the spreadsheets can be printed.
SNHU Median Housing Price Prediction Models Worksheet
Recall that samples are used to generate a statistic, which businesses use to estimate the population parameter. You have ...
SNHU Median Housing Price Prediction Models Worksheet
Recall that samples are used to generate a statistic, which businesses use to estimate the population parameter. You have learned how to take samples from populations and use them to produce statistics. For two quantitative variables, businesses can use scatterplots and the correlation coefficient to explore a potential linear relationship. Furthermore, they can quantify the relationship in a regression equation.PromptThis assignment picks up where the Module Two assignment left off and will use components of that assignment as a foundation.You have submitted your initial analysis to the sales team at D.M. Pan Real Estate Company. You will continue your analysis of the provided Real Estate County Data spreadsheet using your selected region to complete your analysis. You may refer back to the initial report you developed in the Module Two Assignment Template to continue the work. This document and the National Statistics and Graphs spreadsheet will support your work on the assignment.Note: In the report you prepare for the sales team, the dependent, or response, variable (y) should be the median listing price and the independent, or predictor, variable (x) should be the median square feet.Using the Module Three Assignment Template, specifically address the following:Regression Equation: Provide the regression equation for the line of best fit using the scatterplot from the Module Two assignment.Determine r: Determine r and what it means. (What is the relationship between the variables?)Determine the strength of the correlation (weak, moderate, or strong).Discuss how you determine the direction of the association between the two variables.Is there a positive or negative association?What do you see as the direction of the correlation?Examine the Slope and Intercepts: Examine the slopeb1{"version":"1.1","math":"b1"} and intercept b0{"version":"1.1","math":"b0"}.Draw conclusions from the slope and intercept in the context of this problem.Does the intercept make sense based on your observation of the line of best fit?Determine the value of the land only.Note: You can assume, when the square footage of the house is zero, that the price is the value of just the land. This happens when x=0, which is the y-intercept.Determine the R-squared Coefficient: Determine the R-squared value.Discuss what R-squared means in the context of this analysis.Conclusions: Reflect on the Relationship: Reflect on the relationship between square feet and sales price by answering the following questions:Is the square footage for homes in your selected region different than for homes overall in the United States?For every 100 square feet, how much does the price go up (i.e., can you use slope to help identify price changes)?Use the regression equation to estimate how much you would list your house for if it was 1,200 square feet.What square footage range would the graph be best used for?Guidelines for SubmissionSubmit your completed Module Three Assignment Template as a Word document that includes your response and supporting charts/graphs. The following resources support your work on this assignment:Module Three Assignment RubricCriteriaExemplaryProficientNeeds ImprovementNot EvidentValueRegression EquationN/AProvides the regression equation for the line of best fit (100%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include an inaccurate equation (55%)Does not attempt criterion (0%)10Determine rExceeds proficiency in an exceptionally clear manner (100%)Describes the direction, strength of correlation, and association between the variables (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include missing one or more of the following: direction, strength of correlation, or association between the variables (55%)Does not attempt criterion (0%)20Examine the Slope and InterceptExceeds proficiency in an exceptionally clear manner (100%)Draws conclusions from the slope and intercept in context, makes predictions, determines the value of only the land (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include missing one or more of the following: conclusions from the slope and intercept in context, predictions, or the value of only the land (55%)Does not attempt criterion (0%)20Determine the R-squared CoefficientExceeds proficiency in an exceptionally clear manner (100%)Determines the R-squared coefficient and explains it in context (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include an inaccurate determination of the R-squared coefficient or an explanation that is out of context (55%)Does not attempt criterion (0%)20]Conclusions: Reflect on the RelationshipExceeds proficiency in an exceptionally clear, insightful, or sophisticated manner (100%)Reflects on the relationship between square feet and sales price (85%)Shows progress toward proficiency, but with errors or omissions; areas for improvement may include a reflection on the relationship between variables that is missing components (55%)Does not attempt criterion (0%)20Articulation of ResponseExceeds proficiency in an exceptionally clear, insightful, sophisticated, or creative manner (100%)Clearly conveys meaning with correct grammar, sentence structure, and spelling, demonstrating an understanding of audience and purpose (85%)Shows progress toward proficiency, but with errors in grammar, sentence structure, and spelling, negatively impacting readability (55%)Submission has critical errors in grammar, sentence structure, and spelling, preventing understanding of ideas (0%)10Tota
MTH122 CSU Global Fencing a Farmer’s Field
Option #1: Fencing a Farmer’s FieldAs a farmer, suppose you want to fence off a rectangular field that borders a river. ...
MTH122 CSU Global Fencing a Farmer’s Field
Option #1: Fencing a Farmer’s FieldAs a farmer, suppose you want to fence off a rectangular field that borders a river. You wish to find out the dimensions of the field that occupies the largest area, if you have 2000 feet of fencing. Remember that a square maximizes area, so use a square in your work.Draw several diagrams to express the situation and calculate the area for each configuration, then estimate the dimension of largest possible field.Find the function that models the area in terms of one of its sides.Find the point that maximizes the function you found in the second bulleted item.Calculate the area of the field at the point you found in the third bulleted item, and then compare your results with the results in the first bulleted item.Requirements:Paper must be written in 3rdYour paper should be 4-5 pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. The CSU-Global Library (Links to an external site.)Links to an external site.is a great place to find resources. Your textbook is a credible resource.Include a title page, introduction, body, conclusion, and a reference page.The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society as a whole, or it might discuss or describe the unique terminology associated with the topic.The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment.The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs.Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.Document formatting, citations, and style should be in APA style
STAT Walden University Week 3 Applying Probability Distributions Problems
What are some ways that you can apply probability distributions in your personal life? In a given month for example, how m ...
STAT Walden University Week 3 Applying Probability Distributions Problems
What are some ways that you can apply probability distributions in your personal life? In a given month for example, how many eggs do you typically buy? Then, how many do you eat compared to the number you throw away because they have expired? If you have collected this data, it might help inform your decision at the grocery store to either buy more, fewer, or even no eggs. Also, while you are at the grocery store, if you know the average milk prices and standard deviation, then you might consider buying a gallon that costs a little more or you might think it is worth the second trip to get it cheaper elsewhere. How might you apply these concepts to business situations? Consider different ways that probability distributions could be applied to materials, labor costs and estimations, sales reports, and so on.In this Assignment, you will respond to a set of questions that provide real-world examples of how probability distributions can be used to make better decisions, improve performance, and predict outcomes.Submit your responses to the following prompts.A market-research firm was hired to determine the percentage of people in a market area who would purchase a client’s magazine if a door-to-door sales campaign were undertaken. The firm stated that 40% would buy if contacted at home. Suppose the marketing company has tried the sales campaign at 300 randomly selected homes. (150–225 words, or 2–3 paragraphs)Assuming the market research was done properly and the 40% is representative, how many sales are expected if the publisher attempts to sell to 5,000 homes?If the market research was accurate, what is the probability that fewer than 100 individuals will buy? Use the normal approximation to the binomial.Suppose that the publisher actually sells the magazine to 70 people out of the 300 contacted. What would you conclude about the market research? About the campaign?A steel mill produces alloy sheets used for the bodies of automobiles. The mill produces sheets with an average thickness of 0.517 inches and a standard deviation of 0.037 inches. A new car model requires alloy sheets between 0.495 and 0.525 inches thick. What percentage of the sheets made by the mill will be suitable for the new car model? Explain your answer. (75 words, or 1 paragraph)The VP of HR for a large company is interested in the distribution of sick-leave hours for employees at the company. A recent study revealed that the distribution was consistent with a normal model, with a mean of 58 hours per year, and a standard deviation of 14 hours. An office manager of one division believes that during the past year, two of the division’s employees have taken excessive sick leave. One took 74 hours and the other used 90 hours. What would you conclude about the division manager’s claim, and why? (75 words, or 1 paragraph)Each month, an American household generates an average of 28 pounds of newspaper for garbage and/or recycling. Assume this is approximately normally distributed and that the standard deviation is 2 pounds. If a household is selected at random, find the probability of it generating between 27–31 pounds per month. (75 words, or 1 paragraph)Note: For each prompt, be sure to reference at least one scholarly source to support your answer.
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