Description
I am struggling with the finance math of A=P(l+r/n). I tried to map it out and it is really hard. I am stressed out on it
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
its p...
Completion Status:
100%
Review
Review
Anonymous
Really useful study material!
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
NVCC Marketing Research Descriptive Statistics Questions
the questions that need to be answered are in Descriptives file please answer all the questions askedother attachments are ...
NVCC Marketing Research Descriptive Statistics Questions
the questions that need to be answered are in Descriptives file please answer all the questions askedother attachments are for question 2 and 3hypothesis testing descriptive stats frequencies
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.
As a manager of an organization, what statistics from this module would you use and why if you wanted to estimate your annual employee turnover?, discussion help
As a manager of an organization, what statistics from this module would you use and why if you wanted to estimate your ann ...
As a manager of an organization, what statistics from this module would you use and why if you wanted to estimate your annual employee turnover?, discussion help
As a manager of an organization, what statistics from this module would you use and why if you wanted to estimate your annual employee turnover? In your post, be sure to specifically identify the statistical formulas and what additional data you would need to determine your estimate(s).
MATH 114 Liberty University Appliance Power Consumption Worksheet
Project 2 Instructions Please also pay close attention to any additional specifications provided by your professor. Prof ...
MATH 114 Liberty University Appliance Power Consumption Worksheet
Project 2 Instructions Please also pay close attention to any additional specifications provided by your professor. Professors often will clarify their expectations regarding the format and presentation of your submission. Ever wonder how your electricity bill is computed? The following table gives the watts of power that are typically required by several major (and not so major) appliances. (Source: http://www.wholesalesolar.com/solar-information/how-to-save-energy/power-table, with some numbers rounded off for computational convenience.) Table 1: Appliance Central Air Conditioner Water Heater Clothes Dryer Oven Dishwasher Fridge Ceiling Fan LCD TV Watts 9000 5000 4500 4000 2400 2200 220 250 Assume that the number of hours that the aforementioned appliances run during an average day is given in the table below: Table 2: Appliance Central Air Conditioner Water Heater Clothes Dryer Oven Dishwasher Fridge Ceiling Fan LCD TV Hours 5 3 3.5 2 2.5 8 13 6 Add columns to the Project 2 Data spreadsheet that show the following for each appliance: The number of kilowatts of power required by each of these appliances (1 kilowatt = 1000 watts).If the appliance runs the number of hours specified in Table 2, compute the kilowatt-hours (kWh) of energy that each appliance consumes during an average day. Note: kWh are found by multiplying the power of an appliance by the number of hours that it is in use. The number of kilowatt-hours used by each appliance in the entire YEAR.Assuming that electricity costs $0.13 per kWh, find the electricity cost of running each appliance for the entire year.According to the US Energy Information Administration (see “How much coal, natural gas or petroleum is used to generate a kilowatt-hour of electricity” on https://www.eia.gov/tools/faqs/), it requires 0.00052 tons of coal to generate 1 kWh of electricity. Use this conversion to find how much coal would be required to run each of these appliances for a year.The same source also states that 0.00173 barrels of oil will generate 1 kWh of electricity. Like question 5, find how much oil each appliance would consume on an annual basis.Add a “Total” row to the spreadsheet that shows how much electricity is consumed by all 8 appliances combined in the course of a day and of a year. Also, find the cost, the amount of coal that would be required, and the barrels of oil that would be required in order to run all 8 appliances for a year.
Uc Riverside Maximart Sales Statistics Case Study Questions
The inventory manager of Maximart Sales wants to establish optimum ordering policies. Weekly demand for a particular item ...
Uc Riverside Maximart Sales Statistics Case Study Questions
The inventory manager of Maximart Sales wants to establish optimum ordering policies. Weekly demand for a particular item follows a normal distribution with a mean of 300 units and a standard deviation of 70 units. The supplier will sell Maximart up to 999 units in an order at a price of $100/unit. If Maximart orders between 1000 and 3999 units per order, they can get the product for $95/unit. If Maximart is willing to order 4000 or more units with each order, they can get the product at $90/unit. Maximart sells the item for $200 per unit. It costs Maximart $125 to place an order, and $0.60 to hold a unit of inventory from one week to the next. The lead time between placing an order and receiving it, inspected and ready for sale, is two weeks. When demand cannot be satisfied from stock, some customers are willing to accept back order, and wait another week or two for delivery. Other customers will not wait. The percentage of customers who are willing to accept a backorder varies uniformly between 10% and 50%. Maximart estimates that they will lose $60 in future profit from each lost sale. The current inventory policy is an order quantity of 4000 units, to take advantage of the quantity discounts. Further, the inventory manager has also set the reorder point at the average weekly demand, 300 units. An order will be placed in any week for which the ending inventory is less than the reorder point, provided that there is not already an outstanding order from the previous week. a.Simulate 40 weeks of operation. Assume that the inventory at the beginning of week 1 is 1000 units. Provide a breakdown of the average net profit and the average weekly costs for ordering, holding, lost future profits, and average total weekly costs. b.Repeat part a. with an order quantity of 1000 units and a reorder point of 700 units. c.Using the results from part a. and b. investigate a couple other combinations of reorder point and order quantity, in an attempt to determine the combination of the two that will lead to the greatest profit. Report your recommendations.
Similar Content
Statistics question number 14
...
Give three logically possible directions of causality, statistics homework help
Four research participants take a
test of manual dexterity (high scores mean better dexterity) and an anxiety
te...
Statistics
Please provide step by step answers, including any formulas used,Statistics3.pdf for the attached document....
Common core standard cc4.oa.4
Justin has 20 pencils, 25 erasers, and 40 paper clips. He organizes them into groups with the same number of items in each...
find the solution.............thank you..................
x^2+3x+5=0...
Topic 5 DQ1 Comment 1
Although qualitative and quantitative research methods present numerous differences, there appears to be characteristics t...
Related Tags
Book Guides
The Prince
by Niccolò Machiavelli
Black Beauty
by Anna Sewell
Fahrenheit 451
by Ray Bradbury
The Subtle Art of Not Giving a F*ck
by Mark Manson
The Aftermath
by Rhidian Brook
Night
by Elie Wiesel
The Turn of the Screw
by Henry James
The Call of the Wild
by Jack London
The Splendid and The Vile
by Erik Larson
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
NVCC Marketing Research Descriptive Statistics Questions
the questions that need to be answered are in Descriptives file please answer all the questions askedother attachments are ...
NVCC Marketing Research Descriptive Statistics Questions
the questions that need to be answered are in Descriptives file please answer all the questions askedother attachments are for question 2 and 3hypothesis testing descriptive stats frequencies
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.
As a manager of an organization, what statistics from this module would you use and why if you wanted to estimate your annual employee turnover?, discussion help
As a manager of an organization, what statistics from this module would you use and why if you wanted to estimate your ann ...
As a manager of an organization, what statistics from this module would you use and why if you wanted to estimate your annual employee turnover?, discussion help
As a manager of an organization, what statistics from this module would you use and why if you wanted to estimate your annual employee turnover? In your post, be sure to specifically identify the statistical formulas and what additional data you would need to determine your estimate(s).
MATH 114 Liberty University Appliance Power Consumption Worksheet
Project 2 Instructions Please also pay close attention to any additional specifications provided by your professor. Prof ...
MATH 114 Liberty University Appliance Power Consumption Worksheet
Project 2 Instructions Please also pay close attention to any additional specifications provided by your professor. Professors often will clarify their expectations regarding the format and presentation of your submission. Ever wonder how your electricity bill is computed? The following table gives the watts of power that are typically required by several major (and not so major) appliances. (Source: http://www.wholesalesolar.com/solar-information/how-to-save-energy/power-table, with some numbers rounded off for computational convenience.) Table 1: Appliance Central Air Conditioner Water Heater Clothes Dryer Oven Dishwasher Fridge Ceiling Fan LCD TV Watts 9000 5000 4500 4000 2400 2200 220 250 Assume that the number of hours that the aforementioned appliances run during an average day is given in the table below: Table 2: Appliance Central Air Conditioner Water Heater Clothes Dryer Oven Dishwasher Fridge Ceiling Fan LCD TV Hours 5 3 3.5 2 2.5 8 13 6 Add columns to the Project 2 Data spreadsheet that show the following for each appliance: The number of kilowatts of power required by each of these appliances (1 kilowatt = 1000 watts).If the appliance runs the number of hours specified in Table 2, compute the kilowatt-hours (kWh) of energy that each appliance consumes during an average day. Note: kWh are found by multiplying the power of an appliance by the number of hours that it is in use. The number of kilowatt-hours used by each appliance in the entire YEAR.Assuming that electricity costs $0.13 per kWh, find the electricity cost of running each appliance for the entire year.According to the US Energy Information Administration (see “How much coal, natural gas or petroleum is used to generate a kilowatt-hour of electricity” on https://www.eia.gov/tools/faqs/), it requires 0.00052 tons of coal to generate 1 kWh of electricity. Use this conversion to find how much coal would be required to run each of these appliances for a year.The same source also states that 0.00173 barrels of oil will generate 1 kWh of electricity. Like question 5, find how much oil each appliance would consume on an annual basis.Add a “Total” row to the spreadsheet that shows how much electricity is consumed by all 8 appliances combined in the course of a day and of a year. Also, find the cost, the amount of coal that would be required, and the barrels of oil that would be required in order to run all 8 appliances for a year.
Uc Riverside Maximart Sales Statistics Case Study Questions
The inventory manager of Maximart Sales wants to establish optimum ordering policies. Weekly demand for a particular item ...
Uc Riverside Maximart Sales Statistics Case Study Questions
The inventory manager of Maximart Sales wants to establish optimum ordering policies. Weekly demand for a particular item follows a normal distribution with a mean of 300 units and a standard deviation of 70 units. The supplier will sell Maximart up to 999 units in an order at a price of $100/unit. If Maximart orders between 1000 and 3999 units per order, they can get the product for $95/unit. If Maximart is willing to order 4000 or more units with each order, they can get the product at $90/unit. Maximart sells the item for $200 per unit. It costs Maximart $125 to place an order, and $0.60 to hold a unit of inventory from one week to the next. The lead time between placing an order and receiving it, inspected and ready for sale, is two weeks. When demand cannot be satisfied from stock, some customers are willing to accept back order, and wait another week or two for delivery. Other customers will not wait. The percentage of customers who are willing to accept a backorder varies uniformly between 10% and 50%. Maximart estimates that they will lose $60 in future profit from each lost sale. The current inventory policy is an order quantity of 4000 units, to take advantage of the quantity discounts. Further, the inventory manager has also set the reorder point at the average weekly demand, 300 units. An order will be placed in any week for which the ending inventory is less than the reorder point, provided that there is not already an outstanding order from the previous week. a.Simulate 40 weeks of operation. Assume that the inventory at the beginning of week 1 is 1000 units. Provide a breakdown of the average net profit and the average weekly costs for ordering, holding, lost future profits, and average total weekly costs. b.Repeat part a. with an order quantity of 1000 units and a reorder point of 700 units. c.Using the results from part a. and b. investigate a couple other combinations of reorder point and order quantity, in an attempt to determine the combination of the two that will lead to the greatest profit. Report your recommendations.
Earn money selling
your Study Documents