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1 and 1 fifth times 3 and 1 fourth
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Housing Prices Case Study
Download the .pdf and .xlsx files from Blackboard, along with this .docx. Analyze the dataset, identify key questions an ...
Housing Prices Case Study
Download the .pdf and .xlsx files from Blackboard, along with this .docx. Analyze the dataset, identify key questions and write a report based on your findings.Use any (more than one) technique covered so far in class. For e.g. use two sample tests, ANOVA, chi-sq. tests, and multiple regression. Guidelines for Report Type your report in a clear and organized style:The score of the written report will be weighted as follows:For the statistical analysis, address: Section 1, Executive Overview (0.5-1 page):Summarize the key findings based on your study and discuss any possible future study or data collection that might be necessary.Section 2, Statistical Analysis (3-5 pages):Very carefully describe the steps you took to analyze the data and describe what, how and why decisions were made along the way.Support your analysis with relevant plots, relevant statistics, and relevant hypothesis tests.Include these in your report. DO NOT include irrelevant calculations or analyses.All relevant computer outputs can be relegated to the appendices with clear cross-referencing in the paper.Section 3, Summary and Conclusion (0.5-1 page): Summarize how the results of your analysis may be used in managerial decision-making.Also discuss what you have learned in the course of completing the project and how these experiences can be applied in future undertakings of statistical analysis. Section 1: 20% Section 2: 50% Section 3: 20% Writing: 10% Identify multiple question from your data. State the hypothesis for each question. Run the appropriate statistical procedure for each question. Report the results, and summarize the findings for each question. Interpret the results in the context of your question. You should assume that you are writing the report to a manager that knows very little about statistics. Your writing should present the statistical findings in a way that even a layperson can understand.
Rasmussen College Module 3 XYZ Healthcare Data Quality Assignment
XYZ HealthcareCEO: David BlandIndustry: Small Healthcare supplierThe company manufactures and distributes supplies for hos ...
Rasmussen College Module 3 XYZ Healthcare Data Quality Assignment
XYZ HealthcareCEO: David BlandIndustry: Small Healthcare supplierThe company manufactures and distributes supplies for hospitals in the greater Miami-Dade area in Florida. Your CEO was excited after reading your report about what analytics can do for XYZ Healthcare. Now that you have started down the analytics path, David noticed some errors in one of the reports. He understands that poor data quality can lead to poor or even wrong results. He wants to know how to safeguard against poor data quality.You will need to find a case study that discusses how data quality has caused problems and then identify how the problems were corrected. Discuss the root cause of the data quality issues, and outline the solution to the poor data quality. Also suggest safeguards to protect against quality problems in future projects.Please choose 3 articles from the Rasmussen library and use these articles to support your suggestion to the CEO. You may also use the articles used in the other project this week. Just use a minimum of two articles from the library
Purdue University Pennies for Your Thoughts Worksheet
Topic: Pennies for Your ThoughtsIn many of the problems from last unit, you were given information about the population. F ...
Purdue University Pennies for Your Thoughts Worksheet
Topic: Pennies for Your ThoughtsIn many of the problems from last unit, you were given information about the population. For many of the variables, you assumed the variable had a normal distribution. What if the variables you are studying are not normally distributed? Here is your challenge – if the population is not normal, can you make any inferences about that population from your random samples?As a class last unit, you have created a population of the ages of pennies. Your instructor will share this Penny Population document with you as an Excel file, that will include the histogram, mean, and standard deviation of this population of penny ages. Your instructor will also share a link to the Sampling Form to be used in step 5. See Example and DB starter video in Unit 5 LiveBinder.Main Post:1) Describe the distribution shape of the population of penny ages (i.e., left skewed, symmetric, right skewed).2) On your copy of the Penny Population document, randomly select 5 penny ages from this population. Calculate the mean of this Nickel Sample (sample size n = 5). How does this compare to the population mean?3) On your copy of the Penny Population document, randomly select 10 penny ages from this population. Calculate the mean of this Dime Sample (sample size n = 10). How does this compare to the population mean?4) On your copy of the Penny Population document, randomly select 25 penny ages from this population. Calculate the mean of this Quarter Sample (sample size n = 25). How does this compare to the population mean?5) Enter your Nickel Sample mean, Dime Sample mean, and Quarter Sample mean in the Sampling Form sent by your instructor. It will generate a histogram of the class means for each sample (Nickel Samples, Dime Samples, and Quarter Samples).6) Copy and paste the class histograms as they look so far for others to review in the discussion.
IS 3310 TU Suicide Rate Analysis Information System & Data Analytics Memorandum
Draft IRPDue Sep 20 by 11:59pm Points 100 Submitting a file upload Available Sep 9 at 12am - Oct 4 at 11:59pm 26 daysSumma ...
IS 3310 TU Suicide Rate Analysis Information System & Data Analytics Memorandum
Draft IRPDue Sep 20 by 11:59pm Points 100 Submitting a file upload Available Sep 9 at 12am - Oct 4 at 11:59pm 26 daysSummary:In the Independent Research Project (IRP), students conduct an analysis project using SAS primarily and Excel as needed to analyze real-world data. Note: You are required to do a ANOVA Analysis or a Regression Analysis submit them showing Pr or P values, F values, R-square, B values, Plots, etc. and discuss these values and what they mean - as needed for the type of analysis you are conducting (ANOVA or Regression). Homogeneity of Variance of residuals can be assumed so you can proceed with your required analysis. Use DAX 3 or DAX 4 qnd/or DAX 5 video and Instructions to help conduct your analysis. As in previous DAX exercises, you must also attach the Summary Descriptive Statistics Table along with the ANOVA Results Table or Regression Results Table. Example ANOVA or Regression Tables required:DAX ANOVA Tables Required-1.pdfPreview the documentExample Regression Results Tables.pdfPreview the documentIn the first assignment (IRP Research Question and Data Set), you identified the data set you wanted to use, developed a research question, and identified a statistical question that could be answered analytically.In this assignment, you will create and submit a business memo (template attached) that clearly communicates your analysis of the data set you identified in the previous assignment. When you submit this draft of your IRP, you will get feedback from your classmates and your instructor. You should use this feedback to improve your IRP.In later assignments (IRP Memorandum, IRP Presentation, Presentation Questions Reply), you will submit the final version of your IRP, create and submit a PowerPoint presentation that summarizes your IRP, present your analysis via a recorded video presentation, and answer questions about your presentation.AttachmentsIRP Template 2018.docxPreview the documentRubricIRP Draft (2)IRP Draft (2)Criteria Ratings PtsThis criterion is linked to a Learning OutcomeUse of software tools10.0 ptsGood8.0 ptsFair0.0 ptsInadequate10.0 ptsThis criterion is linked to a Learning OutcomeData Display15.0 ptsGood12.0 ptsFair0.0 ptsInadequate15.0 ptsThis criterion is linked to a Learning OutcomeAnalysis Procedure25.0 ptsGood20.0 ptsFair0.0 ptsInadequate25.0 ptsThis criterion is linked to a Learning OutcomeData Analysis Conclusion20.0 ptsGood16.0 ptsFair0.0 ptsInadequate20.0 ptsThis criterion is linked to a Learning OutcomeRecommended Actions20.0 ptsGood16.0 ptsFair0.0 ptsInadequate20.0 ptsThis criterion is linked to a Learning OutcomeDecision Approach10.0 ptsGood8.0 ptsFair0.0 ptsInadequate10.0 ptsTotal Points: 100.0
DSCI 353 UMW The Optimization Models and Mean Screening Rate Questions
Show steps for all problems. Attach the original Excel files, including the answer report and the sensitivity report for t ...
DSCI 353 UMW The Optimization Models and Mean Screening Rate Questions
Show steps for all problems. Attach the original Excel files, including the answer report and the sensitivity report for the LP models, and time series forecasting files. All airport passengers at the Capital City Airport must pass through a security screening area before proceeding to the boarding area. The airport has three screening stations available, and the facility managers must decide how many to open at any particular time. The average time for processing one passenger at each screening station is 0.5 minutes. On a Saturday morning, the arrival rate is 3passengers per minute. Assume that processing times at each screening station follow an exponential distribution and those arrivals following a Poisson distribution. Suppose two of the three screening stations are open on Saturday morning. Compute the following operating characteristics (show steps).a.The probability a passenger will have to wait.b.The average number of passengers that will be waiting for security screening.c.The average time a passenger waits in line.d.The average time required a passenger to pass through security screening.
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Housing Prices Case Study
Download the .pdf and .xlsx files from Blackboard, along with this .docx. Analyze the dataset, identify key questions an ...
Housing Prices Case Study
Download the .pdf and .xlsx files from Blackboard, along with this .docx. Analyze the dataset, identify key questions and write a report based on your findings.Use any (more than one) technique covered so far in class. For e.g. use two sample tests, ANOVA, chi-sq. tests, and multiple regression. Guidelines for Report Type your report in a clear and organized style:The score of the written report will be weighted as follows:For the statistical analysis, address: Section 1, Executive Overview (0.5-1 page):Summarize the key findings based on your study and discuss any possible future study or data collection that might be necessary.Section 2, Statistical Analysis (3-5 pages):Very carefully describe the steps you took to analyze the data and describe what, how and why decisions were made along the way.Support your analysis with relevant plots, relevant statistics, and relevant hypothesis tests.Include these in your report. DO NOT include irrelevant calculations or analyses.All relevant computer outputs can be relegated to the appendices with clear cross-referencing in the paper.Section 3, Summary and Conclusion (0.5-1 page): Summarize how the results of your analysis may be used in managerial decision-making.Also discuss what you have learned in the course of completing the project and how these experiences can be applied in future undertakings of statistical analysis. Section 1: 20% Section 2: 50% Section 3: 20% Writing: 10% Identify multiple question from your data. State the hypothesis for each question. Run the appropriate statistical procedure for each question. Report the results, and summarize the findings for each question. Interpret the results in the context of your question. You should assume that you are writing the report to a manager that knows very little about statistics. Your writing should present the statistical findings in a way that even a layperson can understand.
Rasmussen College Module 3 XYZ Healthcare Data Quality Assignment
XYZ HealthcareCEO: David BlandIndustry: Small Healthcare supplierThe company manufactures and distributes supplies for hos ...
Rasmussen College Module 3 XYZ Healthcare Data Quality Assignment
XYZ HealthcareCEO: David BlandIndustry: Small Healthcare supplierThe company manufactures and distributes supplies for hospitals in the greater Miami-Dade area in Florida. Your CEO was excited after reading your report about what analytics can do for XYZ Healthcare. Now that you have started down the analytics path, David noticed some errors in one of the reports. He understands that poor data quality can lead to poor or even wrong results. He wants to know how to safeguard against poor data quality.You will need to find a case study that discusses how data quality has caused problems and then identify how the problems were corrected. Discuss the root cause of the data quality issues, and outline the solution to the poor data quality. Also suggest safeguards to protect against quality problems in future projects.Please choose 3 articles from the Rasmussen library and use these articles to support your suggestion to the CEO. You may also use the articles used in the other project this week. Just use a minimum of two articles from the library
Purdue University Pennies for Your Thoughts Worksheet
Topic: Pennies for Your ThoughtsIn many of the problems from last unit, you were given information about the population. F ...
Purdue University Pennies for Your Thoughts Worksheet
Topic: Pennies for Your ThoughtsIn many of the problems from last unit, you were given information about the population. For many of the variables, you assumed the variable had a normal distribution. What if the variables you are studying are not normally distributed? Here is your challenge – if the population is not normal, can you make any inferences about that population from your random samples?As a class last unit, you have created a population of the ages of pennies. Your instructor will share this Penny Population document with you as an Excel file, that will include the histogram, mean, and standard deviation of this population of penny ages. Your instructor will also share a link to the Sampling Form to be used in step 5. See Example and DB starter video in Unit 5 LiveBinder.Main Post:1) Describe the distribution shape of the population of penny ages (i.e., left skewed, symmetric, right skewed).2) On your copy of the Penny Population document, randomly select 5 penny ages from this population. Calculate the mean of this Nickel Sample (sample size n = 5). How does this compare to the population mean?3) On your copy of the Penny Population document, randomly select 10 penny ages from this population. Calculate the mean of this Dime Sample (sample size n = 10). How does this compare to the population mean?4) On your copy of the Penny Population document, randomly select 25 penny ages from this population. Calculate the mean of this Quarter Sample (sample size n = 25). How does this compare to the population mean?5) Enter your Nickel Sample mean, Dime Sample mean, and Quarter Sample mean in the Sampling Form sent by your instructor. It will generate a histogram of the class means for each sample (Nickel Samples, Dime Samples, and Quarter Samples).6) Copy and paste the class histograms as they look so far for others to review in the discussion.
IS 3310 TU Suicide Rate Analysis Information System & Data Analytics Memorandum
Draft IRPDue Sep 20 by 11:59pm Points 100 Submitting a file upload Available Sep 9 at 12am - Oct 4 at 11:59pm 26 daysSumma ...
IS 3310 TU Suicide Rate Analysis Information System & Data Analytics Memorandum
Draft IRPDue Sep 20 by 11:59pm Points 100 Submitting a file upload Available Sep 9 at 12am - Oct 4 at 11:59pm 26 daysSummary:In the Independent Research Project (IRP), students conduct an analysis project using SAS primarily and Excel as needed to analyze real-world data. Note: You are required to do a ANOVA Analysis or a Regression Analysis submit them showing Pr or P values, F values, R-square, B values, Plots, etc. and discuss these values and what they mean - as needed for the type of analysis you are conducting (ANOVA or Regression). Homogeneity of Variance of residuals can be assumed so you can proceed with your required analysis. Use DAX 3 or DAX 4 qnd/or DAX 5 video and Instructions to help conduct your analysis. As in previous DAX exercises, you must also attach the Summary Descriptive Statistics Table along with the ANOVA Results Table or Regression Results Table. Example ANOVA or Regression Tables required:DAX ANOVA Tables Required-1.pdfPreview the documentExample Regression Results Tables.pdfPreview the documentIn the first assignment (IRP Research Question and Data Set), you identified the data set you wanted to use, developed a research question, and identified a statistical question that could be answered analytically.In this assignment, you will create and submit a business memo (template attached) that clearly communicates your analysis of the data set you identified in the previous assignment. When you submit this draft of your IRP, you will get feedback from your classmates and your instructor. You should use this feedback to improve your IRP.In later assignments (IRP Memorandum, IRP Presentation, Presentation Questions Reply), you will submit the final version of your IRP, create and submit a PowerPoint presentation that summarizes your IRP, present your analysis via a recorded video presentation, and answer questions about your presentation.AttachmentsIRP Template 2018.docxPreview the documentRubricIRP Draft (2)IRP Draft (2)Criteria Ratings PtsThis criterion is linked to a Learning OutcomeUse of software tools10.0 ptsGood8.0 ptsFair0.0 ptsInadequate10.0 ptsThis criterion is linked to a Learning OutcomeData Display15.0 ptsGood12.0 ptsFair0.0 ptsInadequate15.0 ptsThis criterion is linked to a Learning OutcomeAnalysis Procedure25.0 ptsGood20.0 ptsFair0.0 ptsInadequate25.0 ptsThis criterion is linked to a Learning OutcomeData Analysis Conclusion20.0 ptsGood16.0 ptsFair0.0 ptsInadequate20.0 ptsThis criterion is linked to a Learning OutcomeRecommended Actions20.0 ptsGood16.0 ptsFair0.0 ptsInadequate20.0 ptsThis criterion is linked to a Learning OutcomeDecision Approach10.0 ptsGood8.0 ptsFair0.0 ptsInadequate10.0 ptsTotal Points: 100.0
DSCI 353 UMW The Optimization Models and Mean Screening Rate Questions
Show steps for all problems. Attach the original Excel files, including the answer report and the sensitivity report for t ...
DSCI 353 UMW The Optimization Models and Mean Screening Rate Questions
Show steps for all problems. Attach the original Excel files, including the answer report and the sensitivity report for the LP models, and time series forecasting files. All airport passengers at the Capital City Airport must pass through a security screening area before proceeding to the boarding area. The airport has three screening stations available, and the facility managers must decide how many to open at any particular time. The average time for processing one passenger at each screening station is 0.5 minutes. On a Saturday morning, the arrival rate is 3passengers per minute. Assume that processing times at each screening station follow an exponential distribution and those arrivals following a Poisson distribution. Suppose two of the three screening stations are open on Saturday morning. Compute the following operating characteristics (show steps).a.The probability a passenger will have to wait.b.The average number of passengers that will be waiting for security screening.c.The average time a passenger waits in line.d.The average time required a passenger to pass through security screening.
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