Probability homework help

IE 3301 PROJECT
Fall 2020
Due Wednesday, December 2 by 11:59pm via Canvas
 
 
Project submission is individual and should not be shared with other classmates. Any form of copying and pasting from other sources and projects will be reported to the UT Arlington Office of Student Conduct.
 
Aim: The overall aim of these projects is to analyze real-world data.  The specific objectives are:
 

  1. To sample two sets of data from the real-world.
  2. To summarize each set of data statistically.
  3. To perform statistical chi-square tests on each set of data.
  4. To describe the above steps, data, and results in a report.

 
On the cover of each Project Part report, please transcribe the following statement:
 
“I _________________ did not give or receive any assistance on this project, and the report submitted is wholly my own.”
 
Write your name in the blank and sign below it. You may use an electronic signature, such as Adobe Sign.
 
Tasks for Part 1
 
Data Collection: Students will collect two sets of data from the real world. Set 1 will be collected from a large number of observations (at least 100) for a continuous random variable from a population that is suspected to be Normally distributed. Examples of such data include the body weight of adult males, the circumferences of oranges, the extension length of rubber bands at the point at which they burst, etc. Set 2 will be the inter-arrival time of a sequence of 100 or more events.  First, record the actual clock time (to the nearest second, e.g. 2:43:18pm) of each of at least 100 consecutive events, such as the actual time that a customer enters the post office. Then, determine the interval between occurrences by taking the difference between successive event times.  Consequently, Set 2 will comprise of at least 99 inter-arrival times. You may use ‘second’ as a unit of time.
 
Descriptive Statistics: For both Sets 1 and 2, use software to do the following:

  • Calculate the sample mean and sample standard deviation.
  • Calculate the quartiles Q1, Q2, and Q3.
  • Construct a box-and-whisker plot.
  • Construct a frequency table.
  • Construct a frequency histogram.

 
Report: The project report is to be typewritten in clear English with complete sentences. Be sure to define all notations and include descriptions of all tables and figures in the text.  To improve your writing, you should consider taking your report to the UTA Writing Center. Your report should include a cover page, the following sections, and two appendices:

  1. Data. Describe the data collection process for Sets 1 and 2 with enough detail that the reader could replicate the process.  Appendices I and II should include tables of your raw data for Sets 1 and 2, respectively.  The raw data for Set 2 should consist of the recorded actual clock times.
  2. Descriptive Statistics: Include and explain your descriptive statistics analysis. Interpret the results of the analysis using your data application topic.  Does Set 1 appear to follow a Normal Distribution?  Does Set 2 appear to follow an Exponential Distribution?

 
 
Tasks for Part II
 
Chi-Square Goodness-of-Fit Test: Using a Chi-Square Goodness of Fit Test with a significance level of 0.05, test the hypothesis that Set 1 is sampled from a Normal Distribution with a population mean equal to the sample mean and a population standard deviation equal to the sample standard deviation. Similarly, test the hypothesis with a significance level of 0.05 that Set 2 is sampled from an Exponential Distribution with a population mean equal to the sample mean. For each test, start with the data classes from your histogram and merge them to ensure each class has a sufficient number of observations. Then, for each data class, calculate the following:

  • Numbers of observations in the data.
  • Class probability.
  • Class expected value.
  • Chi-square component values.

Finally, for each test, calculate the chi-square value, describe the degrees of freedom, and explain your conclusion.
 
EXAMPLE SETUP

Class Observed Frequency (oi) Class Probability Expected Frequency (ei) c2 Class Component
X ≤ 2 Count observations based on your collected data. Calculate using the assumed probability distribution. For each class, take its probability and multiply by n.
2 < X ≤ 7
7 < X ≤ 12
X > 12
Total n 1.0 n c2 statistic

 
Report: The project report is to be typewritten in clear English with complete sentences. Be sure to define all notations and include descriptions of all tables and figures in the text.  To improve your writing, you should consider taking your report to the UTA Writing Center. Your report should include a cover page and the following additional section:
Goodness-of-Fit Tests: Describe the chi-square tests with tables for the calculated values and clearly stated conclusions.  Show the Excel formulas for your table calculations in an Appendix.

Statistics homework help

Case Study: Mortgage Approval Time Study

Read the following case study:
A major financial services company wishes to better understand its mortgage approval process. In particular, the company is interested in learning about the effects of good versus fair credit history, the size of the mortgage (less than $500,000 versus greater than $500,000), and the region of the United States (western versus eastern) on the time it takes to get a mortgage approved. The database of mortgages approved in the last year is accessed, and a random sample of five approved mortgages is chosen for each of the eight combinations of the three variables. The data are shown in the table.

Mortgage Approval Time Study

Credit HistoryMortgage SizeRegionApproval Times (days)Approval Times (days)Approval Times (days)Approval Times (days)Approval Times (days)Good<$500,000Western5950646247Fair<$500,000Western8158696574Good>$500,000Western3852586065Fair>$500,000Western146159133143129Good<$500,000Eastern2826384121Fair<$500,000Eastern4253405064Good>$500,000Eastern4931494238Fair>$500,000Eastern106115126118138
First, conduct an analysis using the following steps:

  1. Use the data shown in the table to conduct a design of experiment (DOE) in Microsoft Excel to determine the nature and magnitude of the effects of the three variables on mortgage approval times. Identify the key drivers of this process.
  2. Determine the graphical display tool (Interaction Effects Chart, Scatter Chart, et cetera) that you would use to present the results of the DOE you conducted in Question 1. Provide a rationale for your response.
  3. Assess the data sampling method:
    • Determine if the sample size is sufficient.
      • Identify circumstances under which would it have been appropriate to select a larger sample. Determine whether a sample of five mortgages is adequate to access the relative magnitudes of the effects of the variables.
      • Recommend a sample size for future study and discuss what analysis can be made with a larger sample size. (Hint: Look back at Chapters 2, 3, 5, and 6 for discussion of sampling.)
  4. Provide other variable responses that might be of interest to measure and study. (Hint: If you were getting a mortgage or a loan, what are the two most important measures of the process you would have to go through?)
  5. Propose one overall recommendation to the financial services company based on the DOE that could help reduce mortgage approval times.
  6. Use Basic Search: Strayer University Online Library to identify at least two quality references to support your discussion. Note: Wikipedia and other websites do not qualify as academic resources.

Second, create a PowerPoint presentation to communicate the data analysis you completed. Your submission must meet these requirements:

  • A PowerPoint presentation with at least 10 content slides that include the answers to questions 1 through 5.
  • A reference slide and cover slide with the title of the assignment, your name, the professor’s name, the course title, and the date.
    • Note: The cover and reference slides are not included in the required number of slides.
  • Formatting of the slides should be consistent and easy to read.

This course requires the use of Strayer Writing Standards. For assistance and information, please refer to the Strayer Writing Standards link in the left-hand menu of your course. Check with your professor for any additional instructions.
The specific course learning outcome associated with this assignment is:

  • Develop recommendations to improve business processes using statistical tools and analysis.
  • attachment

    Case2.pptx

Statistics homework help

Case Study: Mortgage Approval Time Study

Read the following case study:
A major financial services company wishes to better understand its mortgage approval process. In particular, the company is interested in learning about the effects of good versus fair credit history, the size of the mortgage (less than $500,000 versus greater than $500,000), and the region of the United States (western versus eastern) on the time it takes to get a mortgage approved. The database of mortgages approved in the last year is accessed, and a random sample of five approved mortgages is chosen for each of the eight combinations of the three variables. The data are shown in the table.

Mortgage Approval Time Study

Credit HistoryMortgage SizeRegionApproval Times (days)Approval Times (days)Approval Times (days)Approval Times (days)Approval Times (days)Good<$500,000Western5950646247Fair<$500,000Western8158696574Good>$500,000Western3852586065Fair>$500,000Western146159133143129Good<$500,000Eastern2826384121Fair<$500,000Eastern4253405064Good>$500,000Eastern4931494238Fair>$500,000Eastern106115126118138
First, conduct an analysis using the following steps:

  1. Use the data shown in the table to conduct a design of experiment (DOE) in Microsoft Excel to determine the nature and magnitude of the effects of the three variables on mortgage approval times. Identify the key drivers of this process.
  2. Determine the graphical display tool (Interaction Effects Chart, Scatter Chart, et cetera) that you would use to present the results of the DOE you conducted in Question 1. Provide a rationale for your response.
  3. Assess the data sampling method:
    • Determine if the sample size is sufficient.
      • Identify circumstances under which would it have been appropriate to select a larger sample. Determine whether a sample of five mortgages is adequate to access the relative magnitudes of the effects of the variables.
      • Recommend a sample size for future study and discuss what analysis can be made with a larger sample size. (Hint: Look back at Chapters 2, 3, 5, and 6 for discussion of sampling.)
  4. Provide other variable responses that might be of interest to measure and study. (Hint: If you were getting a mortgage or a loan, what are the two most important measures of the process you would have to go through?)
  5. Propose one overall recommendation to the financial services company based on the DOE that could help reduce mortgage approval times.
  6. Use Basic Search: Strayer University Online Library to identify at least two quality references to support your discussion. Note: Wikipedia and other websites do not qualify as academic resources.

Second, create a PowerPoint presentation to communicate the data analysis you completed. Your submission must meet these requirements:

  • A PowerPoint presentation with at least 10 content slides that include the answers to questions 1 through 5.
  • A reference slide and cover slide with the title of the assignment, your name, the professor’s name, the course title, and the date.
    • Note: The cover and reference slides are not included in the required number of slides.
  • Formatting of the slides should be consistent and easy to read.

This course requires the use of Strayer Writing Standards. For assistance and information, please refer to the Strayer Writing Standards link in the left-hand menu of your course. Check with your professor for any additional instructions.
The specific course learning outcome associated with this assignment is:

  • Develop recommendations to improve business processes using statistical tools and analysis.
  • attachment

    Case2.pptx

Statistics homework help

Homework

Suppose a sporting goods store sold treadmills, exercise bikes, and equipment service contracts over the past six months as shown in the table below.

Equipment and Service Contract Sales

TreadmillExercise BikeEquipment Sales 185123  Service Contract Sales  6755
The store can only sell a service contract on a new piece of equipment. Of the 185 treadmills sold, 67 included a service contract and 118 did not.
Respond to the following in a Word document and submit:

  1. Construct a 95 percent confidence interval for the difference between the proportions of service contracts sold on treadmills versus exercise bikes.
  2. Determine if there is or is not a major difference between the two pieces of equipment and provide a rationale for your response.
This is a statistics essay
The different sections that should be present in the paper:
1. Research Question and Relevance
2.Data Description and Data Collection
3.Data Organization
4.Data Analysis
5.Conclusions
6.references
  • attachment

    StructuredExternalAssignmentOAStats141-12.docx
  • attachment

    writtenreportexample4.docx

Mathematics homework help

Use the Internet or Basic Search: Strayer University Online Library to research articles on hypothesis testing and its application in business. Choose one company or organization that used a hypothesis testing technique for its business process (for example, whether providing flexible work hours improves employee productivity.) Give your opinion as to whether use of such a technique improved business process for the selected company or organization. Justify your response.

Mathematics homework help

Use the Internet or Basic Search: Strayer University Online Library to research articles on hypothesis testing and its application in business. Choose one company or organization that used a hypothesis testing technique for its business process (for example, whether providing flexible work hours improves employee productivity.) Give your opinion as to whether use of such a technique improved business process for the selected company or organization. Justify your response.

Mathematics homework help

Suppose that there are two candidates in the upcoming presidential election, candidate A and candidate B. Sara notes that she has discussed the presidential election candidates with 15 friends, and 10 said that they are voting for candidate A. Sara is therefore convinced that candidate A will win the election because A gets more than 50 percent of votes.
Answer the following questions in a Word document and submit:

  1. Based on what you now know about statistical inference, is Sara’s conclusion a logical conclusion? Why or why not?
  2. How many friend samples Sara should have in order to draw the conclusion with 95 percent confidence interval? Why?
  3. How would you explain your conclusion to Sara without using any statistical jargon? Why?

Mathematics homework help

Suppose that there are two candidates in the upcoming presidential election, candidate A and candidate B. Sara notes that she has discussed the presidential election candidates with 15 friends, and 10 said that they are voting for candidate A. Sara is therefore convinced that candidate A will win the election because A gets more than 50 percent of votes.
Answer the following questions in a Word document and submit:

  1. Based on what you now know about statistical inference, is Sara’s conclusion a logical conclusion? Why or why not?
  2. How many friend samples Sara should have in order to draw the conclusion with 95 percent confidence interval? Why?
  3. How would you explain your conclusion to Sara without using any statistical jargon? Why?