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Mthh040059 Unit Evaluation 05
This evaluation will cover the lessons in this unit. It is open book, meaning you can use your syllabus and other course m ...
Mthh040059 Unit Evaluation 05
This evaluation will cover the lessons in this unit. It is open book, meaning you can use your syllabus and other course materials. You will need to ...
NVCC Statistics Quantitative Data Discussion
Collect some quantitative data (if your data from week 1 is quantitative, you can use it). Find the sample mean and standa ...
NVCC Statistics Quantitative Data Discussion
Collect some quantitative data (if your data from week 1 is quantitative, you can use it). Find the sample mean and standard deviation. Plot it in a histogram. Does the data seem to follow the bell curve of the normal distribution? What features of the data do or do not fit in with the shape of the normal curve. How much deviation from the curve is to be expected?Now perform a normality test on your data (Shapiro-Wilk test: http://sdittami.altervista.org/shapirotest/ShapiroTest.html or http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html)– the test will give you a p-value. The higher the p-value, the more closely your data follows the normal distribution. Based on the test, do you think your data could have been drawn from a normal distribution?
MA215 Grantham University ROI Data Project
Project Week 7Using the ROI data set: For each of the two majors: Draw the scatter diagram of Y = ‘Annual % ROI’ again ...
MA215 Grantham University ROI Data Project
Project Week 7Using the ROI data set: For each of the two majors: Draw the scatter diagram of Y = ‘Annual % ROI’ against X = ‘Cost’.Obtain b0 and b1 of the regression equation defined as y ̂ =
b0 + b1X and the coefficient of determination (r2) from the Excel
regression output. Draw the fitted regression line on the scatter diagram.Calculate the estimated ‘Annual % ROI’ when the ‘Cost’ (X) is $160,000.Test the hypothesis:
H0: β1 = 0Ha: β1 ≠ 0 Write a paragraph or more on any observations you make about
the regression estimates, coefficient of determination, the plots, and
the results of your hypothesis tests.Data attached
I need help with tis assignment
CompetencyGiven a real-life application, develop a confidence interval for a population parameter and its interpretation.I ...
I need help with tis assignment
CompetencyGiven a real-life application, develop a confidence interval for a population parameter and its interpretation.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobYou have previously explained some of the basic statistics to your client already, and he really liked your work. Now he wants you to analyze the confidence intervals.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota. What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet.I HAD A PREVIOUS TUTOR HELP ME WITH THIS ASSIGNMENT BUT WERE NOT ABLE TO MEET EXPECTATIONS AND RECEIVED A BAD GRADE FOR THE ASSIGNMENT. I WILL ATTACH THE COMMENTS FROM THE PROFESSOR AS WELL AS THE WORKSHEET THAT THE PREVIOUS TUTOR WORKED ON. 😣
SU Mathematics Probability & True and False Questions
1. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month th ...
SU Mathematics Probability & True and False Questions
1. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. Based on this information, what is the probability that an employee will have less than 20 minutes of unused sick time?2. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. Based on this information, what is the probability that three randomly chosen employees have over 400 unused sick minutes at the end of the year?3. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. The company has decided to give a cash payment to any employee that returns over 400 minutes of sick leave at the end of the year. What percentage of employees could expect a cash payment?4. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. The company has decided to give a cash payment to any employee that returns over a specified amount of sick leave minutes. Assuming that the company wishes no more than 5 percent of all employees to get a cash payment, what should the required number of minutes be?5. Suppose the time it takes for a customer to be served at a fast-food chain business is thought to be uniformly distributed between 3 and 8 minutes, then the probability that a customer is served in less than 3 minutes is 0.6. If the time it takes for a customer to be served at a fast-food chain business is thought to be uniformly distributed between 3 and 8 minutes, then the probability that the time it takes for a randomly selected customer to be served will be less than 5 minutes is 0.40.7. If a uniform distribution and normal distribution both have the same mean and the same range, the normal distribution will have a larger standard deviation than the uniform distribution8. It has been determined the weight of bricks made by the Dillenger Stone Company is uniformly distributed between 1 and 1.5 pounds. Based on this information, the probability that two randomly selected bricks will each weigh more than 1.3 pounds is 0.16.9. The amount of drying time for the paint applied to a plastic component part is thought to be uniformly distributed between 30 and 60 minutes. Currently, the automated process selects the part from the drying bin after the part has been there for 50 minutes. Based on this, the probability that a part selected will not be dry is approximately 0.33.10. The amount of drying time for the paint applied to a plastic component part is thought to be uniformly distributed between 30 and 60 minutes. Currently, the automated process selects the part from the drying bin after the part has been there for 50 minutes. The probability that none of three parts picked are still wet when they are selected is approximately 0.04.
DAT 565 UCLA Wk 5 Regression Analysis Predicting Tax Assessment Value Worksheet
This assignment provides an opportunity to develop, evaluate, and apply bivariate and multivariate linear regression model ...
DAT 565 UCLA Wk 5 Regression Analysis Predicting Tax Assessment Value Worksheet
This assignment provides an opportunity to develop, evaluate, and apply bivariate and multivariate linear regression models.Resources: Microsoft Excel®, DAT565_v3_Wk5_Data_FileInstructions: The Excel file for this assignment contains a database with information about the tax assessment value assigned to medical office buildings in a city. The following is a list of the variables in the database:FloorArea: square feet of floor spaceOffices: number of offices in the buildingEntrances: number of customer entrancesAge: age of the building (years)AssessedValue: tax assessment value (thousands of dollars)Use the data to construct a model that predicts the tax assessment value assigned to medical office buildings with specific characteristics.Construct a scatter plot in Excel with FloorArea as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?Use Excel’s Analysis ToolPak to conduct a regression analysis of FloorArea and AssessmentValue. Is FloorArea a significant predictor of AssessmentValue?Construct a scatter plot in Excel with Age as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?Use Excel’s Analysis ToolPak to conduct a regression analysis of Age and Assessment Value. Is Age a significant predictor of AssessmentValue?Construct a multiple regression model.Use Excel’s Analysis ToolPak to conduct a regression analysis with AssessmentValue as the dependent variable and FloorArea, Offices, Entrances, and Age as independent variables. What is the overall fit r^2? What is the adjusted r^2?Which predictors are considered significant if we work with α=0.05? Which predictors can be eliminated?What is the final model if we only use FloorArea and Offices as predictors?Suppose our final model is:AssessedValue = 115.9 + 0.26 x FloorArea + 78.34 x OfficesWhat wouldbe the assessed value of a medical office building with a floor area of 3500 sq. ft., 2 offices, that was built 15 years ago? Is this assessed value consistent with what appears in the database?
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14 pages
Mthh040059 Unit Evaluation 05
This evaluation will cover the lessons in this unit. It is open book, meaning you can use your syllabus and other course m ...
Mthh040059 Unit Evaluation 05
This evaluation will cover the lessons in this unit. It is open book, meaning you can use your syllabus and other course materials. You will need to ...
NVCC Statistics Quantitative Data Discussion
Collect some quantitative data (if your data from week 1 is quantitative, you can use it). Find the sample mean and standa ...
NVCC Statistics Quantitative Data Discussion
Collect some quantitative data (if your data from week 1 is quantitative, you can use it). Find the sample mean and standard deviation. Plot it in a histogram. Does the data seem to follow the bell curve of the normal distribution? What features of the data do or do not fit in with the shape of the normal curve. How much deviation from the curve is to be expected?Now perform a normality test on your data (Shapiro-Wilk test: http://sdittami.altervista.org/shapirotest/ShapiroTest.html or http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html)– the test will give you a p-value. The higher the p-value, the more closely your data follows the normal distribution. Based on the test, do you think your data could have been drawn from a normal distribution?
MA215 Grantham University ROI Data Project
Project Week 7Using the ROI data set: For each of the two majors: Draw the scatter diagram of Y = ‘Annual % ROI’ again ...
MA215 Grantham University ROI Data Project
Project Week 7Using the ROI data set: For each of the two majors: Draw the scatter diagram of Y = ‘Annual % ROI’ against X = ‘Cost’.Obtain b0 and b1 of the regression equation defined as y ̂ =
b0 + b1X and the coefficient of determination (r2) from the Excel
regression output. Draw the fitted regression line on the scatter diagram.Calculate the estimated ‘Annual % ROI’ when the ‘Cost’ (X) is $160,000.Test the hypothesis:
H0: β1 = 0Ha: β1 ≠ 0 Write a paragraph or more on any observations you make about
the regression estimates, coefficient of determination, the plots, and
the results of your hypothesis tests.Data attached
I need help with tis assignment
CompetencyGiven a real-life application, develop a confidence interval for a population parameter and its interpretation.I ...
I need help with tis assignment
CompetencyGiven a real-life application, develop a confidence interval for a population parameter and its interpretation.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobYou have previously explained some of the basic statistics to your client already, and he really liked your work. Now he wants you to analyze the confidence intervals.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota. What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet.I HAD A PREVIOUS TUTOR HELP ME WITH THIS ASSIGNMENT BUT WERE NOT ABLE TO MEET EXPECTATIONS AND RECEIVED A BAD GRADE FOR THE ASSIGNMENT. I WILL ATTACH THE COMMENTS FROM THE PROFESSOR AS WELL AS THE WORKSHEET THAT THE PREVIOUS TUTOR WORKED ON. 😣
SU Mathematics Probability & True and False Questions
1. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month th ...
SU Mathematics Probability & True and False Questions
1. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. Based on this information, what is the probability that an employee will have less than 20 minutes of unused sick time?2. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. Based on this information, what is the probability that three randomly chosen employees have over 400 unused sick minutes at the end of the year?3. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. The company has decided to give a cash payment to any employee that returns over 400 minutes of sick leave at the end of the year. What percentage of employees could expect a cash payment?4. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. The company has decided to give a cash payment to any employee that returns over a specified amount of sick leave minutes. Assuming that the company wishes no more than 5 percent of all employees to get a cash payment, what should the required number of minutes be?5. Suppose the time it takes for a customer to be served at a fast-food chain business is thought to be uniformly distributed between 3 and 8 minutes, then the probability that a customer is served in less than 3 minutes is 0.6. If the time it takes for a customer to be served at a fast-food chain business is thought to be uniformly distributed between 3 and 8 minutes, then the probability that the time it takes for a randomly selected customer to be served will be less than 5 minutes is 0.40.7. If a uniform distribution and normal distribution both have the same mean and the same range, the normal distribution will have a larger standard deviation than the uniform distribution8. It has been determined the weight of bricks made by the Dillenger Stone Company is uniformly distributed between 1 and 1.5 pounds. Based on this information, the probability that two randomly selected bricks will each weigh more than 1.3 pounds is 0.16.9. The amount of drying time for the paint applied to a plastic component part is thought to be uniformly distributed between 30 and 60 minutes. Currently, the automated process selects the part from the drying bin after the part has been there for 50 minutes. Based on this, the probability that a part selected will not be dry is approximately 0.33.10. The amount of drying time for the paint applied to a plastic component part is thought to be uniformly distributed between 30 and 60 minutes. Currently, the automated process selects the part from the drying bin after the part has been there for 50 minutes. The probability that none of three parts picked are still wet when they are selected is approximately 0.04.
DAT 565 UCLA Wk 5 Regression Analysis Predicting Tax Assessment Value Worksheet
This assignment provides an opportunity to develop, evaluate, and apply bivariate and multivariate linear regression model ...
DAT 565 UCLA Wk 5 Regression Analysis Predicting Tax Assessment Value Worksheet
This assignment provides an opportunity to develop, evaluate, and apply bivariate and multivariate linear regression models.Resources: Microsoft Excel®, DAT565_v3_Wk5_Data_FileInstructions: The Excel file for this assignment contains a database with information about the tax assessment value assigned to medical office buildings in a city. The following is a list of the variables in the database:FloorArea: square feet of floor spaceOffices: number of offices in the buildingEntrances: number of customer entrancesAge: age of the building (years)AssessedValue: tax assessment value (thousands of dollars)Use the data to construct a model that predicts the tax assessment value assigned to medical office buildings with specific characteristics.Construct a scatter plot in Excel with FloorArea as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?Use Excel’s Analysis ToolPak to conduct a regression analysis of FloorArea and AssessmentValue. Is FloorArea a significant predictor of AssessmentValue?Construct a scatter plot in Excel with Age as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?Use Excel’s Analysis ToolPak to conduct a regression analysis of Age and Assessment Value. Is Age a significant predictor of AssessmentValue?Construct a multiple regression model.Use Excel’s Analysis ToolPak to conduct a regression analysis with AssessmentValue as the dependent variable and FloorArea, Offices, Entrances, and Age as independent variables. What is the overall fit r^2? What is the adjusted r^2?Which predictors are considered significant if we work with α=0.05? Which predictors can be eliminated?What is the final model if we only use FloorArea and Offices as predictors?Suppose our final model is:AssessedValue = 115.9 + 0.26 x FloorArea + 78.34 x OfficesWhat wouldbe the assessed value of a medical office building with a floor area of 3500 sq. ft., 2 offices, that was built 15 years ago? Is this assessed value consistent with what appears in the database?
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