Description
Company A charges $86and unlimited mileage. Company B has an initial fee of $65 and additional $0.70 every mile driven.mileages will Company A charge less than Company B?Use m miles driven, and solve your inequality for m
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Explanation & Answer
Please note that you have to solve this inequality:
86<65+0.7*m
so:
0.7*m>21
and
m>30
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Rasmussen College The Mathematics of Games Questions
I am looking for help on this question for questions 5, 6 and 7. (Please see attached 'Mathematics of Games Questions' fil ...
Rasmussen College The Mathematics of Games Questions
I am looking for help on this question for questions 5, 6 and 7. (Please see attached 'Mathematics of Games Questions' file-I couldn't get the tables to show up). I have attached the previous assignments as well in the zipped file if they are helpful. I got them all finished but then I fell behind and I can't seem to catch up. :(Thank you so much for your help!5. Use the payoff matrix from number 1 to determine the optimum strategy for your client (the challenger).Show all of your work. 6. The market research team working on this project creates this payoff matrix that represents the scaled values that customers give to the different levels of service and the corresponding payoffs for the telecom company: You recognize that the payoff matrix is not the best way to analyze this scenario.You will construct a game tree to model the scenario and perform backwards induction to find the optimum strategy, explaining all of your reasoning along the way. Slide 1 Explain why a game tree must be used in this scenario instead of a payoff matrix.Identify who will go first in the gameCalculate the probability of getting a satisfied client based off of your prior work history at G& B Consulting.Show all work.Explain how you found your solution. Slide 2 Draw the game tree that represents the scenario using the payoff matrix given above.Identify and explain any non-credible threats.Using your prior work history, calculate the probability of getting at least 85% of clients giving you high customer satisfaction ratings.Explain how you found your solution. Slide 3 Redraw the game tree with any non-credible threats removed.Identify and explain where the first step of backwards induction will occur.Interpret your results from slide 2 and use them to make an argument on why you would be good for the position. Slide 4 Using the game tree from slide 3, perform the first step of backwards induction.Explain your reasoning behind the step you took.Using the payoff matrix shown above, determine if the manufacturer has a dominant strategy.Show and explain all steps.Using the payoff matrix shown above, determine if the competitor has a dominant strategy.Show and explain all steps. Slide 5 Redraw the game tree after the first step of backwards induction.Identify where the next step of backwards induction occurs.Find all Nash equilibrium points.Show and explain all steps.Identify the optimum strategy of the game. Slide 6 Using the game tree from slide 5, perform the next step of backwards induction.Explain your reasoning behind the step you took.Do your results match those of your coworkers?Explain why you agree or disagree Slide 7 Redraw the game tree after the step you took in slide 6.Identify the optimum strategy of the game. Use the mixed strategy algorithm to find the optimum strategy for the manufacturer.Show all of your steps.Use the mixed strategy algorithm to find the optimum strategy for the competitor.Show all of your steps.Do your results match those of your coworker’s?Explain why you agree or disagree.Create the game tree for this scenario, exclude any non-credible threats.Explain how you identified the non-credible threat. 7. Part 1 The first item you want to highlight is your customer satisfaction record. Over the past 18 months of employment you have worked with 25 clients, and according to the customer satisfaction surveys all clients are asked to take after their contract is completed, 22 of them rated you with the highest level of satisfaction. Use this information to find the best predicted probability of having a new client give the highest level of satisfaction. However, having a single satisfied customer is not enough. It is very important to G & B Consulting that they maintain high ethical standards and continue to receive the highest rating from the Better Business Bureau consistently. In order to maintain this rating, the company must maintain at least 85% or higher of customers giving you high customer satisfaction ratings. Internal projections predict that G&B Consulting will serve 60 clients over the next year. If you become the project manager and use your prior record as an indicator, find the probability that 85% or more of new clients will give the highest level of customer satisfaction rating. Show all calculations and formulas used. If you use Excel for your calculations include that along with your submission. Use this information to make a convincing argument that you are a good choice for the position. Slide 1Calculate the probability of getting a satisfied client based off of your prior work history at G& B Consulting.Show all work.Explain how you found your solution. Slide 2Using your prior work history, calculate the probability of getting at least 85% of clients giving you high customer satisfaction ratings.Explain how you found your solution. Slide 3Interpret your results from slide 2 and use them to make an argument on why you would be good for the position. Part 2 The other item you wish to highlight comes from some work done for a local manufacturer. They believed that a competitor was illegally using one of their patents in their own manufacturing process and were considering litigation. This competitor's product were directly cutting into the manufacturer's profit, so they wanted to prevent the competitor's product from being made and recoup those lost profits. Of course, the litigation process is long and costly, and the outcome is not guaranteed and would likely result in a countersuit brought by the competitor. Before continuing with costly legal counsel, the manufacturer hired G&B Consulting to help them determine their best strategy. This was potentially a very lucrative contract, and a high profile one too since the manufacturer is one of the biggest employers in the area. Therefore, several analysts at G&B Consulting, including you, were asked to tackle the problem independently to help ensure the best possible results. Before compiling a final report to give to the manufacturer, the results were presented to the project lead: The first solution brought up was given by one of your coworkers. Using the manufacturer's projections of profits solely, he was able to create the following payoff matrix where each entry is in millions of dollars annually: This coworker concluded that the manufacturer should always do the opposite of the competitor chooses making this a strictly competitive game. Slide 4Using the payoff matrix shown above, determine if the manufacturer has a dominant strategy.Show and explain all steps.Using the payoff matrix shown above, determine if the competitor has a dominant strategy.Show and explain all steps. Slide 5Find all Nash equilibrium points.Show and explain all steps.Identify the optimum strategy of the game. Slide 6Do your results match those of your coworkers?Explain why you agree or disagree Part 3 The second solution was brought by a different coworker. She also created a payoff matrix for the scenario but did some independent research to estimate the competitor's profits in each outcome independent of the manufacturer's profits and came up with the following payoff matrix, again, the values represent millions of dollars in annual profits. This coworker concludes that under these circumstances, the manufacturer should sue 50% of the time and not sue the other 50% of the time, and they should expect their competitor to do the same. Slide 7Use the mixed strategy algorithm to find the optimum strategy for the manufacturer.Show all of your steps. Slide 8Use the mixed strategy algorithm to find the optimum strategy for the competitor.Show all of your steps. Slide 9Do your results match those of your coworker’s?Explain why you agree or disagree. Part 4 You present your own solution that is based on a non-simultaneous game where the manufacturer first has to decide whether or not they wish to pursue litigation. If they do so choose, then their competitor will also have to decide if the wish to file a counter-suit. You utilized the same payoff matrix that the second coworker provided that contains information about both companies' projected profits Slide 10Create the game tree for this scenario, exclude any non-credible threats.Explain how you identified the non-credible threat.
·
Perform the
first step of backwards induction. Shown
and explain your work.Slide 11Perform the second step of backwards induction.Show and explain all your work.Slide 12Identify the optimum strategy for the game.
Grand Canyon University Determine the Standard Error of Estimate Statistics Ques
Complete the following exercises from "Review Questions" located at the end of each chapter and put them into a Word docum ...
Grand Canyon University Determine the Standard Error of Estimate Statistics Ques
Complete the following exercises from "Review Questions" located at the end of each chapter and put them into a Word document to submit to the instructor.1.Chapter 6, number 6.9 2.Chapter 7, number 7.8 Show all relevant work; use the equation editor in Microsoft Word when necessary.6.9 Indicate whether the following generalizations suggest a positive or negative rela-tionship. Also speculate about whether or not these generalizations reflect simplecause-effect relationships. (a) Preschool children who delay gratification (postponing eating one marshmallow to wintwo) subsequently receive higher teacher evaluations of adolescent competencies. (b) College students who take longer to finish a test perform more poorly on that test (c) Heavy smokers have shorter life expectancies. (d) Infants who experience longer durations of breastfeeding score higher on IQ tests in later childhood.7.8 Each of the following pairs represents the number of licensed drivers (X ) and the number of cars (Y ) for seven houses in my neighborhood: Drivers (x): 5522312 Cars (y): 4322212(a) Construct a scatterplot to verify a lack of pronounced curvilinearity. (b) Determine the least squares equation for these data. (Remember, you will first have to calculate r, SSy and SSx) (c) Determine the standard error of estimate, sy|x, given that n = 7. (d) Predict the number of cars for each of two new families with two and five drivers
Week Three Application Assignment
Week Three - Application AssignmentAnswer the following questions in a Word document and upload the document to the approp ...
Week Three Application Assignment
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MATH 160 Grossmont Cuyamaca Community College Module 8 Descriptive Statistics HW
Module 8 - Treating Depression Lab Part 2 (discussion 2) - mod 8 group 1From 2020SU-MATH-160-177422 unread replies.22 repl ...
MATH 160 Grossmont Cuyamaca Community College Module 8 Descriptive Statistics HW
Module 8 - Treating Depression Lab Part 2 (discussion 2) - mod 8 group 1From 2020SU-MATH-160-177422 unread replies.22 replies.Learn by DoingIn this activity, you will investigate the first question related to the study described below.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions and grading rubric for the Learn by Doing discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextClinical depression is a recurrent illness requiring treatment and often hospitalization. Nearly 50% of people who have an episode of major depression will have a recurrence within 2-3 years. Being able to prevent the recurrence of depression in people who are at risk for the disease would go a long way to alleviate the pain and suffering of patients.During the 1980's the federal government, through the National Institutes of Health (NIH), sponsored a large clinical trial to evaluate two drugs for depression. There were 3 treatment groups. Patients received either Imipramine (Imip), Lithium (Li), or a Placebo (Pl). Researchers randomly assigned patients to one of the 3 treatment groups and followed them for 2-4 years to track any recurrences of depression.(Prien et al., Archives of General Psychiatry, 1984).VariablesHospt: Which hospital the patient was from: Labeled 1, 2, 3, 5 or 6Treat: 0=Lithium; 1=Imipramine; 2=PlaceboOutcome: 0=Success 1=Failure (recurrence of depression)Time: Number of weeks until a recurrence (if outcome=1) or until study ended (if outcome=0)AcuteT: How long the patient was depressed before the start of the current study, measured in daysAge: Age in yearsGender: 1=Female 2=MaleDataIf you have not done so already, download the depression datafile (as always, if a login box opens, just close it and then download the file). Then upload the file in StatCrunch. PromptWe will analyze the data to answer the second research question: Which of the drugs (if either) delayed the recurrence of depression longer relative to the placebo? In the previous lab-preparation activity, we identified Treat as the explanatory variable and Time as the response variable. We also determined that we will analyze the data using side-by-side boxplots and descriptive statistics (i.e. 5-number summaries since the graphs are boxplots).Make graphs and tables.Use StatCrunch to produce side-by-side boxplots. (directions)Embed your graphs with your initial post. Use StatCrunch to produce the descriptive statistics (a table containing the 5-number summaries for each comparison group). (directions)Copy and paste the StatCrunch output table into your initial post. Analyze the data: Compare the distributions for the treatment groups as demonstrated in Unit 2. For example, compare medians and intervals of typical values. Describe the shape and any outliers. Be sure to write your comparisons so the reader can understand the context of the numbers. For example, don't just say the median is 30; instead, say something like this: on average patients taking the placebo relapsed in 30 days (Q2=30 days).Draw a conclusion: What can we conclude from your analysis? Did one drug successfully delay a relapse of depression better than the others? What evidence supports your conclusion?Summarize your conclusions in response to both research questions: In this lab you compared three treatments using two different variables: (Parts 1 & 2) whether or not a relapse into depression occurred and (Parts 3 & 4) if a relapse occurred, the time it took to occur. What can you conclude in light of both analyses? Is one treatment better than the other? How does the data support your conclusion?List of StatCrunch DirectionsEach link will open in a new window. To return to this discussion, either close the new tab or select the tab for this discussion. Create Your Stats-Class Folder in Canvas (You only need to do this once.)Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (no screenshots; please use these directions)Upload Files into Your Stat-Class Folder in CanvasEmbed Pictures in a Discussion Post (no attachments; please use these directions)Copy & Paste a StatCrunch TableSide-by-side boxplotDescriptive Statistics Across Multiple CategoriesHere is a PDF document with all StatCrunch directions (Links to an external site.).GradingTo view the grading rubric for this discussion board, click on menu icon (three vertical dots) and then select show rubric. Please note, if viewing the course via the Canvas mobile app the rubric does not appear on this page. Tips for SuccessTo post your initial post, click the "reply" button at the top of the introduction thread below.You are required to reply to two of your peers in this discussion; don't forget to complete this requirement of the activity or you will lose points. Provide high-quality feedback to your peers.Search entries or author Filter replies by unreadUnread Collapse replies Expand replies ReplyReply to Module 8 - Treating Depression Lab Part 2 (discussion 2) - mod 8 group 1Replies are only visible to those who have posted at least one reply.PreviousNext
BUSN320 American Military University Architectures Connection Questions
In approximately 250 words, explain how architectures are pivots between business-oriented design and technology-oriented ...
BUSN320 American Military University Architectures Connection Questions
In approximately 250 words, explain how architectures are pivots between business-oriented design and technology-oriented design of e-Business scenarios.In approximately 250 words, explain why it is important to choose points in time wisely when analyzing past and future developments.In approximately 250 words, explain why business strategy provides the "umbrella" for a set of concrete business models.In approximately 250 words, explain why a good e-Business analyst or designer must always consciously balance between separation and integration of aspects.
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Rasmussen College The Mathematics of Games Questions
I am looking for help on this question for questions 5, 6 and 7. (Please see attached 'Mathematics of Games Questions' fil ...
Rasmussen College The Mathematics of Games Questions
I am looking for help on this question for questions 5, 6 and 7. (Please see attached 'Mathematics of Games Questions' file-I couldn't get the tables to show up). I have attached the previous assignments as well in the zipped file if they are helpful. I got them all finished but then I fell behind and I can't seem to catch up. :(Thank you so much for your help!5. Use the payoff matrix from number 1 to determine the optimum strategy for your client (the challenger).Show all of your work. 6. The market research team working on this project creates this payoff matrix that represents the scaled values that customers give to the different levels of service and the corresponding payoffs for the telecom company: You recognize that the payoff matrix is not the best way to analyze this scenario.You will construct a game tree to model the scenario and perform backwards induction to find the optimum strategy, explaining all of your reasoning along the way. Slide 1 Explain why a game tree must be used in this scenario instead of a payoff matrix.Identify who will go first in the gameCalculate the probability of getting a satisfied client based off of your prior work history at G& B Consulting.Show all work.Explain how you found your solution. Slide 2 Draw the game tree that represents the scenario using the payoff matrix given above.Identify and explain any non-credible threats.Using your prior work history, calculate the probability of getting at least 85% of clients giving you high customer satisfaction ratings.Explain how you found your solution. Slide 3 Redraw the game tree with any non-credible threats removed.Identify and explain where the first step of backwards induction will occur.Interpret your results from slide 2 and use them to make an argument on why you would be good for the position. Slide 4 Using the game tree from slide 3, perform the first step of backwards induction.Explain your reasoning behind the step you took.Using the payoff matrix shown above, determine if the manufacturer has a dominant strategy.Show and explain all steps.Using the payoff matrix shown above, determine if the competitor has a dominant strategy.Show and explain all steps. Slide 5 Redraw the game tree after the first step of backwards induction.Identify where the next step of backwards induction occurs.Find all Nash equilibrium points.Show and explain all steps.Identify the optimum strategy of the game. Slide 6 Using the game tree from slide 5, perform the next step of backwards induction.Explain your reasoning behind the step you took.Do your results match those of your coworkers?Explain why you agree or disagree Slide 7 Redraw the game tree after the step you took in slide 6.Identify the optimum strategy of the game. Use the mixed strategy algorithm to find the optimum strategy for the manufacturer.Show all of your steps.Use the mixed strategy algorithm to find the optimum strategy for the competitor.Show all of your steps.Do your results match those of your coworker’s?Explain why you agree or disagree.Create the game tree for this scenario, exclude any non-credible threats.Explain how you identified the non-credible threat. 7. Part 1 The first item you want to highlight is your customer satisfaction record. Over the past 18 months of employment you have worked with 25 clients, and according to the customer satisfaction surveys all clients are asked to take after their contract is completed, 22 of them rated you with the highest level of satisfaction. Use this information to find the best predicted probability of having a new client give the highest level of satisfaction. However, having a single satisfied customer is not enough. It is very important to G & B Consulting that they maintain high ethical standards and continue to receive the highest rating from the Better Business Bureau consistently. In order to maintain this rating, the company must maintain at least 85% or higher of customers giving you high customer satisfaction ratings. Internal projections predict that G&B Consulting will serve 60 clients over the next year. If you become the project manager and use your prior record as an indicator, find the probability that 85% or more of new clients will give the highest level of customer satisfaction rating. Show all calculations and formulas used. If you use Excel for your calculations include that along with your submission. Use this information to make a convincing argument that you are a good choice for the position. Slide 1Calculate the probability of getting a satisfied client based off of your prior work history at G& B Consulting.Show all work.Explain how you found your solution. Slide 2Using your prior work history, calculate the probability of getting at least 85% of clients giving you high customer satisfaction ratings.Explain how you found your solution. Slide 3Interpret your results from slide 2 and use them to make an argument on why you would be good for the position. Part 2 The other item you wish to highlight comes from some work done for a local manufacturer. They believed that a competitor was illegally using one of their patents in their own manufacturing process and were considering litigation. This competitor's product were directly cutting into the manufacturer's profit, so they wanted to prevent the competitor's product from being made and recoup those lost profits. Of course, the litigation process is long and costly, and the outcome is not guaranteed and would likely result in a countersuit brought by the competitor. Before continuing with costly legal counsel, the manufacturer hired G&B Consulting to help them determine their best strategy. This was potentially a very lucrative contract, and a high profile one too since the manufacturer is one of the biggest employers in the area. Therefore, several analysts at G&B Consulting, including you, were asked to tackle the problem independently to help ensure the best possible results. Before compiling a final report to give to the manufacturer, the results were presented to the project lead: The first solution brought up was given by one of your coworkers. Using the manufacturer's projections of profits solely, he was able to create the following payoff matrix where each entry is in millions of dollars annually: This coworker concluded that the manufacturer should always do the opposite of the competitor chooses making this a strictly competitive game. Slide 4Using the payoff matrix shown above, determine if the manufacturer has a dominant strategy.Show and explain all steps.Using the payoff matrix shown above, determine if the competitor has a dominant strategy.Show and explain all steps. Slide 5Find all Nash equilibrium points.Show and explain all steps.Identify the optimum strategy of the game. Slide 6Do your results match those of your coworkers?Explain why you agree or disagree Part 3 The second solution was brought by a different coworker. She also created a payoff matrix for the scenario but did some independent research to estimate the competitor's profits in each outcome independent of the manufacturer's profits and came up with the following payoff matrix, again, the values represent millions of dollars in annual profits. This coworker concludes that under these circumstances, the manufacturer should sue 50% of the time and not sue the other 50% of the time, and they should expect their competitor to do the same. Slide 7Use the mixed strategy algorithm to find the optimum strategy for the manufacturer.Show all of your steps. Slide 8Use the mixed strategy algorithm to find the optimum strategy for the competitor.Show all of your steps. Slide 9Do your results match those of your coworker’s?Explain why you agree or disagree. Part 4 You present your own solution that is based on a non-simultaneous game where the manufacturer first has to decide whether or not they wish to pursue litigation. If they do so choose, then their competitor will also have to decide if the wish to file a counter-suit. You utilized the same payoff matrix that the second coworker provided that contains information about both companies' projected profits Slide 10Create the game tree for this scenario, exclude any non-credible threats.Explain how you identified the non-credible threat.
·
Perform the
first step of backwards induction. Shown
and explain your work.Slide 11Perform the second step of backwards induction.Show and explain all your work.Slide 12Identify the optimum strategy for the game.
Grand Canyon University Determine the Standard Error of Estimate Statistics Ques
Complete the following exercises from "Review Questions" located at the end of each chapter and put them into a Word docum ...
Grand Canyon University Determine the Standard Error of Estimate Statistics Ques
Complete the following exercises from "Review Questions" located at the end of each chapter and put them into a Word document to submit to the instructor.1.Chapter 6, number 6.9 2.Chapter 7, number 7.8 Show all relevant work; use the equation editor in Microsoft Word when necessary.6.9 Indicate whether the following generalizations suggest a positive or negative rela-tionship. Also speculate about whether or not these generalizations reflect simplecause-effect relationships. (a) Preschool children who delay gratification (postponing eating one marshmallow to wintwo) subsequently receive higher teacher evaluations of adolescent competencies. (b) College students who take longer to finish a test perform more poorly on that test (c) Heavy smokers have shorter life expectancies. (d) Infants who experience longer durations of breastfeeding score higher on IQ tests in later childhood.7.8 Each of the following pairs represents the number of licensed drivers (X ) and the number of cars (Y ) for seven houses in my neighborhood: Drivers (x): 5522312 Cars (y): 4322212(a) Construct a scatterplot to verify a lack of pronounced curvilinearity. (b) Determine the least squares equation for these data. (Remember, you will first have to calculate r, SSy and SSx) (c) Determine the standard error of estimate, sy|x, given that n = 7. (d) Predict the number of cars for each of two new families with two and five drivers
Week Three Application Assignment
Week Three - Application AssignmentAnswer the following questions in a Word document and upload the document to the approp ...
Week Three Application Assignment
Week Three - Application AssignmentAnswer the following questions in a Word document and upload the document to the appropriate drop box.1) A museum borrows $2,000,000 at simple annual interest to purchase new exhibits. Let x represent the amount borrowed at 7%, y represent the amount borrowed at 8.5%, and z represent the amount borrowed at 9.5%. Set up a system of linear equations to determine how much is borrowed at each rate given that the total annual interest is $169,750 and the amount borrowed at 8.5% is four times the amount borrowed at 9.5%. You do not have to solve the system.2) At a local store, the numbers of gallons of skim milk, 2% milk, and whole milk sold over the weekend are represented by a matrix A. Skim 2% Whole Friday 40 64 52 Saturday 60 82 76 Sunday 76 96 84The selling prices per gallon and the profits per gallon for the three types of milk are represented by B. Selling price Profit Skim $3.45 $1.20 2% $3.65 $1.30 Whole $3.85 $1.45 a) Compute AB and interpret the result. b) Find the store's total profit from milk sales for the weekend3) A florist is creating 10 centerpieces. Roses cost $2.50 each, lilies cost $4 each, and irises cost $2 each. A customer plans on spending $300 on 10 centerpieces with each centerpiece containing 12 flowers, with twice as many roses as the number of irises and lilies combined. a) Write a system of linear equations that represents the situation. Then write a matrix equation that corresponds to your system. b) Find the number of flowers of each type that the florist can use to create the 10 centerpieces.4) One hundred liters of a 50% solution of a chemical mixture is obtained by mixing a 60% solution with a 20% solution. Using a system of linear equations determine how many liters of each solution are required to obtain the 50% mixture. Solve the system using matrices.
MATH 160 Grossmont Cuyamaca Community College Module 8 Descriptive Statistics HW
Module 8 - Treating Depression Lab Part 2 (discussion 2) - mod 8 group 1From 2020SU-MATH-160-177422 unread replies.22 repl ...
MATH 160 Grossmont Cuyamaca Community College Module 8 Descriptive Statistics HW
Module 8 - Treating Depression Lab Part 2 (discussion 2) - mod 8 group 1From 2020SU-MATH-160-177422 unread replies.22 replies.Learn by DoingIn this activity, you will investigate the first question related to the study described below.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions and grading rubric for the Learn by Doing discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextClinical depression is a recurrent illness requiring treatment and often hospitalization. Nearly 50% of people who have an episode of major depression will have a recurrence within 2-3 years. Being able to prevent the recurrence of depression in people who are at risk for the disease would go a long way to alleviate the pain and suffering of patients.During the 1980's the federal government, through the National Institutes of Health (NIH), sponsored a large clinical trial to evaluate two drugs for depression. There were 3 treatment groups. Patients received either Imipramine (Imip), Lithium (Li), or a Placebo (Pl). Researchers randomly assigned patients to one of the 3 treatment groups and followed them for 2-4 years to track any recurrences of depression.(Prien et al., Archives of General Psychiatry, 1984).VariablesHospt: Which hospital the patient was from: Labeled 1, 2, 3, 5 or 6Treat: 0=Lithium; 1=Imipramine; 2=PlaceboOutcome: 0=Success 1=Failure (recurrence of depression)Time: Number of weeks until a recurrence (if outcome=1) or until study ended (if outcome=0)AcuteT: How long the patient was depressed before the start of the current study, measured in daysAge: Age in yearsGender: 1=Female 2=MaleDataIf you have not done so already, download the depression datafile (as always, if a login box opens, just close it and then download the file). Then upload the file in StatCrunch. PromptWe will analyze the data to answer the second research question: Which of the drugs (if either) delayed the recurrence of depression longer relative to the placebo? In the previous lab-preparation activity, we identified Treat as the explanatory variable and Time as the response variable. We also determined that we will analyze the data using side-by-side boxplots and descriptive statistics (i.e. 5-number summaries since the graphs are boxplots).Make graphs and tables.Use StatCrunch to produce side-by-side boxplots. (directions)Embed your graphs with your initial post. Use StatCrunch to produce the descriptive statistics (a table containing the 5-number summaries for each comparison group). (directions)Copy and paste the StatCrunch output table into your initial post. Analyze the data: Compare the distributions for the treatment groups as demonstrated in Unit 2. For example, compare medians and intervals of typical values. Describe the shape and any outliers. Be sure to write your comparisons so the reader can understand the context of the numbers. For example, don't just say the median is 30; instead, say something like this: on average patients taking the placebo relapsed in 30 days (Q2=30 days).Draw a conclusion: What can we conclude from your analysis? Did one drug successfully delay a relapse of depression better than the others? What evidence supports your conclusion?Summarize your conclusions in response to both research questions: In this lab you compared three treatments using two different variables: (Parts 1 & 2) whether or not a relapse into depression occurred and (Parts 3 & 4) if a relapse occurred, the time it took to occur. What can you conclude in light of both analyses? Is one treatment better than the other? How does the data support your conclusion?List of StatCrunch DirectionsEach link will open in a new window. To return to this discussion, either close the new tab or select the tab for this discussion. Create Your Stats-Class Folder in Canvas (You only need to do this once.)Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (no screenshots; please use these directions)Upload Files into Your Stat-Class Folder in CanvasEmbed Pictures in a Discussion Post (no attachments; please use these directions)Copy & Paste a StatCrunch TableSide-by-side boxplotDescriptive Statistics Across Multiple CategoriesHere is a PDF document with all StatCrunch directions (Links to an external site.).GradingTo view the grading rubric for this discussion board, click on menu icon (three vertical dots) and then select show rubric. Please note, if viewing the course via the Canvas mobile app the rubric does not appear on this page. Tips for SuccessTo post your initial post, click the "reply" button at the top of the introduction thread below.You are required to reply to two of your peers in this discussion; don't forget to complete this requirement of the activity or you will lose points. Provide high-quality feedback to your peers.Search entries or author Filter replies by unreadUnread Collapse replies Expand replies ReplyReply to Module 8 - Treating Depression Lab Part 2 (discussion 2) - mod 8 group 1Replies are only visible to those who have posted at least one reply.PreviousNext
BUSN320 American Military University Architectures Connection Questions
In approximately 250 words, explain how architectures are pivots between business-oriented design and technology-oriented ...
BUSN320 American Military University Architectures Connection Questions
In approximately 250 words, explain how architectures are pivots between business-oriented design and technology-oriented design of e-Business scenarios.In approximately 250 words, explain why it is important to choose points in time wisely when analyzing past and future developments.In approximately 250 words, explain why business strategy provides the "umbrella" for a set of concrete business models.In approximately 250 words, explain why a good e-Business analyst or designer must always consciously balance between separation and integration of aspects.
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