Description
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
y' = 2/3 x+ 2 =0
x = -2*3/2
= -3
Please let me know if you have any questions and best me if you are satisfactory.
Completion Status:
100%
Review
Review
Anonymous
Great! 10/10 would recommend using Studypool to help you study.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
11 pages
Revised Simulations
The summation ϵ is an independent and identically distributed or an iid with normal random variables having a mean of 0 a ...
Revised Simulations
The summation ϵ is an independent and identically distributed or an iid with normal random variables having a mean of 0 and a variance of σ2. ...
MAT 243 Southern New Hampshire University Statistical Analysis Projects Report
Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete ...
MAT 243 Southern New Hampshire University Statistical Analysis Projects Report
Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.In this discussion, you will apply the statistical concepts and techniques covered in this week's reading to calculate a confidence interval and perform hypothesis testing for a manufacturing process.The manufacturing process at a factory produces ball bearings that are sold to automotive manufacturers. The factory wants to estimate the average diameter of a ball bearing that is in demand to ensure that it is manufactured within the specifications. Suppose they plan to collect a sample of 50 ball bearings and measure their diameters to construct a 90% and 99% confidence interval for the average diameter of ball bearings produced from this manufacturing process.The sample of size 50 was generated using Python’s numpy module. This data set will be unique to you, and therefore your answers will be unique as well. Run Step 1 in the Python script to generate your unique sample data. Check to make sure your sample data is shown in your attachment.In your initial post, address the following items. Be sure to answer the questions about both confidence intervals and hypothesis testing.In the Python script, you calculated the sample data to construct a 90% and 99% confidence interval for the average diameter of ball bearings produced from this manufacturing process. These confidence intervals were created using the Normal distribution based on the assumption that the population standard deviation is known and the sample size is sufficiently large. Report these confidence intervals rounded to two decimal places. See Step 2 in the Python script.Interpret both confidence intervals. Make sure to be detailed and precise in your interpretation.It has been claimed from previous studies that the average diameter of ball bearings from this manufacturing process is 2.30 cm. Based on the sample of 50 that you collected, is there evidence to suggest that the average diameter is greater than 2.30 cm? Perform a hypothesis test for the population mean at alpha = 0.01.In your initial post, address the following items:Define the null and alternative hypothesis for this test in mathematical terms and in words.Report the level of significance.Include the test statistic and the P-value. See Step 3 in the Python script. (Note that Python methods return two tailed P-values. You must report the correct P-value based on the alternative hypothesis.)Provide your conclusion and interpretation of the results. Should the null hypothesis be rejected? Why or why not?In your follow-up posts to other students, review your peers' calculations and provide some analysis and interpretation:How do their confidence intervals compare with yours?If the population standard deviation is unknown and the sample size is not sufficiently large, would you still use the Normal distribution to calculate these confidence intervals, or would you choose another distribution? If the latter, which distribution would you choose?Remember to attach your Python output and respond to all questions in your initial and follow-up posts. Be sure to clearly communicate your ideas using appropriate terminology. Finally, be sure to review the Discussion Rubric to understand how you will be graded on this assignment.PART 2 :ScenarioYou are a data analyst for a basketball team. You have found a large set of historical data, and are working to analyze and find patterns in the data set. The coach of the team and your management have requested that you use descriptive statistics and data visualization techniques to study distributions of key variables associated with the performance of different teams. Data-driven analytics will help the management make decisions to further improve your team’s performance. You will use the Python programming language to perform your statistical analysis. You will also need to present a report of your findings to the team’s management. Since the managers are not data analysts, you will need to interpret your findings and describe their practical implications. The managers will use your report to find areas where the team can improve its performance.Note: This data set has been “cleaned” for the purposes of this assignment.ReferenceFiveThirtyEight. (April 26, 2019). FiveThirtyEight NBA Elo dataset. Kaggle. Retrieved from https://www.kaggle.com/fivethirtyeight/fivethirtye...DirectionsFor this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.Python Script: To complete the tasks listed below, open the Project One Jupyter Notebook link in the Assignment Information module. Your project contains the NBA data set and a Jupyter Notebook with your Python scripts. In the notebook, you will find step-by-step instructions and code blocks that will help you complete the following tasks:Choose and create a data visualization.Calculate descriptive statistics including mean, median, min, max, variance, and standard deviation.Construct confidence intervals for a population proportion and a population mean.Summary Report: Once you have completed all the steps in your Python script, you will create a summary report to present your findings. Use the provided template to create your report. You must complete each of the following sections:Introduction: Set the context for your scenario and the analyses you will be performing.Data Visualization: Identify and interpret your chosen data visualization.Descriptive Statistics: Identify and interpret measures of central tendency and variability.Confidence Intervals: Identify and interpret the lower and upper limits of confidence intervals.Conclusion: Summarize your findings and explain their practical implications.What to SubmitTo complete this project, you must submit the following:Python ScriptYour Jupyter Notebook Python script contains all the statistical analyses you completed for this project. You downloaded your work as an HTML file. Review the file to make sure that every step and all your outputs are included. Submit the HTML file as part of your submission. Review the Jupyter Notebook in Codio Tutorial in the Supporting Materials section if you need help.Summary ReportUse the provided template to create your summary report. The template contains guiding questions to help you complete each section. Be sure to remove these questions before submitting your report. Your summary report should be submitted as a 3- to 5-page Microsoft Word document. It should include an APA-style cover page and APA citations for any sources used. Use double spacing, 12-point Times New Roman font, and one-inch margins.Supporting MaterialsThe following resource(s) may help support your work on the project:Document: Jupyter Notebook in Codio TutorialThis tutorial will help you become familiar with the Jupyter Notebook interface. You will learn how to open, complete, save, and download your Jupyter Notebook for this project.Shapiro Library: APA Style GuideThis guide will help you format your cover page and references according to APA style. You are not required to use external resources for this project. However, if you do use any resources, you must cite them in APA format.
University of Maryland Global Introduction to Statistics Final Exam
The directions are attach and in bold/red on attached form. The answer sheet is also attached. Work must be shown has stat ...
University of Maryland Global Introduction to Statistics Final Exam
The directions are attach and in bold/red on attached form. The answer sheet is also attached. Work must be shown has stated on directions/test questions. Thanks!!!
HSA 543 Strayer University Wk 8 Gantt and Pert Charts Paper
Hello,This is a 2 part assignment !!! The 2 assignments should NOT be combines together! 2 separate pages PLEASE! I have a ...
HSA 543 Strayer University Wk 8 Gantt and Pert Charts Paper
Hello,This is a 2 part assignment !!! The 2 assignments should NOT be combines together! 2 separate pages PLEASE! I have attached all the materials needed for the homework and for the extra credit portion. Let me know if you need additional help. Chapters 12 and 13 HomeworkComplete the following:Chapter 12: Exercises 12-1 through 12-3 on page 248 of the text.Chapter 13: Exercises 13-1 through 13-3 on page 269 of the text.http://eprints.stiperdharmawacana.ac.id/44/1/%5BJames_B._Lewis%2C_Robert_J._McGrath%2C_Lee_F._Seidel%5D%28BookFi%29.pdfEXTRA CREDIT ‼️‼️Compare the main strengths and weaknesses of the Gantt chart and PERT for project management, and give your opinion on which you believe is the most effective for project management.PERT Project Management:(1) https://www.youtube.com/watch?v=DwPWUaSBTJs - this actually goes through a calculation example that will be helpful to you(2) https://www.youtube.com/watch?v=GRlXRYok3oQ - this shows an example of how to calculate ES, EF, LS, and LF - this could be more than you need(3) https://www.youtube.com/watch?v=-TDh-5n90vk - this shows how to find critical path - THIS FILM IS VERY GOOD(4) https://www.youtube.com/watch?v=_-rrXdPal8U - another video for showing how to find critical path
Similar Content
say andrew has a bag containing an unknown number of counters. he reaches in and removes 5 counters
say andrew has a bag containng an unknown number of counters. he reaches in and removes 5conters....
Probability Maximum and Minimum Temperatures, assignment help
Need help completing this work sheet ...
Orange County Community College Mathematical Induction Worksheet
Need Answers to Questions clearly labeled. Last question you only need to pick 5 to answer...
please solve
please complete 4 problems 10,11,12, and 13 . The file is attached thanks for helping me with my assignment. I appreciate ...
Boston University Moral Hazard and Asymmetric Information Discussion
This week's online discussion topic is on "moral hazard" and "asymmetric information"?After reviewing the course materials...
Business Calculus online homework
I need help completing my business calculus homework, deals with derivatives. I've completed about 25% of it already,here ...
Tutor2b
...
College Statistics Introduction To Graphing Activity 1
2. Work as a group to calculate the statistics and answer the discussion questions. 4. What conclusions can you draw from ...
Confidence Interval
Confidence intervals have different levels of variance. In the estimations of various populations, different confidence le...
Related Tags
Book Guides
Oliver Twist
by Charles Dickens
Of Mice and Men
by John Steinbeck
The House of the Seven Gables
by Nathaniel Hawthorne
Shutter Island
by Dennis Lehane
Sharp Objects
by Gillian Flynn
Nervous Conditions
by Tsitsi Dangarembga
The Catcher in the Rye
by J. D. Salinger
I Cant Make This Up - Life Lessons
by Kevin Hart
The Nightingale
by Kristin Hannah
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
11 pages
Revised Simulations
The summation ϵ is an independent and identically distributed or an iid with normal random variables having a mean of 0 a ...
Revised Simulations
The summation ϵ is an independent and identically distributed or an iid with normal random variables having a mean of 0 and a variance of σ2. ...
MAT 243 Southern New Hampshire University Statistical Analysis Projects Report
Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete ...
MAT 243 Southern New Hampshire University Statistical Analysis Projects Report
Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.In this discussion, you will apply the statistical concepts and techniques covered in this week's reading to calculate a confidence interval and perform hypothesis testing for a manufacturing process.The manufacturing process at a factory produces ball bearings that are sold to automotive manufacturers. The factory wants to estimate the average diameter of a ball bearing that is in demand to ensure that it is manufactured within the specifications. Suppose they plan to collect a sample of 50 ball bearings and measure their diameters to construct a 90% and 99% confidence interval for the average diameter of ball bearings produced from this manufacturing process.The sample of size 50 was generated using Python’s numpy module. This data set will be unique to you, and therefore your answers will be unique as well. Run Step 1 in the Python script to generate your unique sample data. Check to make sure your sample data is shown in your attachment.In your initial post, address the following items. Be sure to answer the questions about both confidence intervals and hypothesis testing.In the Python script, you calculated the sample data to construct a 90% and 99% confidence interval for the average diameter of ball bearings produced from this manufacturing process. These confidence intervals were created using the Normal distribution based on the assumption that the population standard deviation is known and the sample size is sufficiently large. Report these confidence intervals rounded to two decimal places. See Step 2 in the Python script.Interpret both confidence intervals. Make sure to be detailed and precise in your interpretation.It has been claimed from previous studies that the average diameter of ball bearings from this manufacturing process is 2.30 cm. Based on the sample of 50 that you collected, is there evidence to suggest that the average diameter is greater than 2.30 cm? Perform a hypothesis test for the population mean at alpha = 0.01.In your initial post, address the following items:Define the null and alternative hypothesis for this test in mathematical terms and in words.Report the level of significance.Include the test statistic and the P-value. See Step 3 in the Python script. (Note that Python methods return two tailed P-values. You must report the correct P-value based on the alternative hypothesis.)Provide your conclusion and interpretation of the results. Should the null hypothesis be rejected? Why or why not?In your follow-up posts to other students, review your peers' calculations and provide some analysis and interpretation:How do their confidence intervals compare with yours?If the population standard deviation is unknown and the sample size is not sufficiently large, would you still use the Normal distribution to calculate these confidence intervals, or would you choose another distribution? If the latter, which distribution would you choose?Remember to attach your Python output and respond to all questions in your initial and follow-up posts. Be sure to clearly communicate your ideas using appropriate terminology. Finally, be sure to review the Discussion Rubric to understand how you will be graded on this assignment.PART 2 :ScenarioYou are a data analyst for a basketball team. You have found a large set of historical data, and are working to analyze and find patterns in the data set. The coach of the team and your management have requested that you use descriptive statistics and data visualization techniques to study distributions of key variables associated with the performance of different teams. Data-driven analytics will help the management make decisions to further improve your team’s performance. You will use the Python programming language to perform your statistical analysis. You will also need to present a report of your findings to the team’s management. Since the managers are not data analysts, you will need to interpret your findings and describe their practical implications. The managers will use your report to find areas where the team can improve its performance.Note: This data set has been “cleaned” for the purposes of this assignment.ReferenceFiveThirtyEight. (April 26, 2019). FiveThirtyEight NBA Elo dataset. Kaggle. Retrieved from https://www.kaggle.com/fivethirtyeight/fivethirtye...DirectionsFor this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.Python Script: To complete the tasks listed below, open the Project One Jupyter Notebook link in the Assignment Information module. Your project contains the NBA data set and a Jupyter Notebook with your Python scripts. In the notebook, you will find step-by-step instructions and code blocks that will help you complete the following tasks:Choose and create a data visualization.Calculate descriptive statistics including mean, median, min, max, variance, and standard deviation.Construct confidence intervals for a population proportion and a population mean.Summary Report: Once you have completed all the steps in your Python script, you will create a summary report to present your findings. Use the provided template to create your report. You must complete each of the following sections:Introduction: Set the context for your scenario and the analyses you will be performing.Data Visualization: Identify and interpret your chosen data visualization.Descriptive Statistics: Identify and interpret measures of central tendency and variability.Confidence Intervals: Identify and interpret the lower and upper limits of confidence intervals.Conclusion: Summarize your findings and explain their practical implications.What to SubmitTo complete this project, you must submit the following:Python ScriptYour Jupyter Notebook Python script contains all the statistical analyses you completed for this project. You downloaded your work as an HTML file. Review the file to make sure that every step and all your outputs are included. Submit the HTML file as part of your submission. Review the Jupyter Notebook in Codio Tutorial in the Supporting Materials section if you need help.Summary ReportUse the provided template to create your summary report. The template contains guiding questions to help you complete each section. Be sure to remove these questions before submitting your report. Your summary report should be submitted as a 3- to 5-page Microsoft Word document. It should include an APA-style cover page and APA citations for any sources used. Use double spacing, 12-point Times New Roman font, and one-inch margins.Supporting MaterialsThe following resource(s) may help support your work on the project:Document: Jupyter Notebook in Codio TutorialThis tutorial will help you become familiar with the Jupyter Notebook interface. You will learn how to open, complete, save, and download your Jupyter Notebook for this project.Shapiro Library: APA Style GuideThis guide will help you format your cover page and references according to APA style. You are not required to use external resources for this project. However, if you do use any resources, you must cite them in APA format.
University of Maryland Global Introduction to Statistics Final Exam
The directions are attach and in bold/red on attached form. The answer sheet is also attached. Work must be shown has stat ...
University of Maryland Global Introduction to Statistics Final Exam
The directions are attach and in bold/red on attached form. The answer sheet is also attached. Work must be shown has stated on directions/test questions. Thanks!!!
HSA 543 Strayer University Wk 8 Gantt and Pert Charts Paper
Hello,This is a 2 part assignment !!! The 2 assignments should NOT be combines together! 2 separate pages PLEASE! I have a ...
HSA 543 Strayer University Wk 8 Gantt and Pert Charts Paper
Hello,This is a 2 part assignment !!! The 2 assignments should NOT be combines together! 2 separate pages PLEASE! I have attached all the materials needed for the homework and for the extra credit portion. Let me know if you need additional help. Chapters 12 and 13 HomeworkComplete the following:Chapter 12: Exercises 12-1 through 12-3 on page 248 of the text.Chapter 13: Exercises 13-1 through 13-3 on page 269 of the text.http://eprints.stiperdharmawacana.ac.id/44/1/%5BJames_B._Lewis%2C_Robert_J._McGrath%2C_Lee_F._Seidel%5D%28BookFi%29.pdfEXTRA CREDIT ‼️‼️Compare the main strengths and weaknesses of the Gantt chart and PERT for project management, and give your opinion on which you believe is the most effective for project management.PERT Project Management:(1) https://www.youtube.com/watch?v=DwPWUaSBTJs - this actually goes through a calculation example that will be helpful to you(2) https://www.youtube.com/watch?v=GRlXRYok3oQ - this shows an example of how to calculate ES, EF, LS, and LF - this could be more than you need(3) https://www.youtube.com/watch?v=-TDh-5n90vk - this shows how to find critical path - THIS FILM IS VERY GOOD(4) https://www.youtube.com/watch?v=_-rrXdPal8U - another video for showing how to find critical path
Earn money selling
your Study Documents