Let x1, x2, ... , xn be an array. Consider the following algorithm
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Miami Dade College Week 5 Life Insurance Discussion
Maybe you have considered buying a term life insurance policy. The expected value of any term life insurance product yield ...
Miami Dade College Week 5 Life Insurance Discussion
Maybe you have considered buying a term life insurance policy. The expected value of any term life insurance product yields a positive expected value for the insurance company and a negative expected value for you, meaning the insurance company will make profits by selling their insurance products. Would you still buy the term life insurance? Why or why not? Are there other examples other than insurance that uses this same concept?
Average Cost of Court Time Question
You paid $120 for a membership to a racquetball club. Court time is $4
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Average Cost of Court Time Question
You paid $120 for a membership to a racquetball club. Court time is $4
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Decision making Techniques
Using specified data files, chapter example files, and templates from the “Topic 8 Student Data, Template, and Example F ...
Decision making Techniques
Using specified data files, chapter example files, and templates from the “Topic 8 Student Data, Template, and Example Files” topic material, complete Chapter 6, Problems 2, 31 (part a), 32, and 33 from the textbook. Use Microsoft Excel to complete Problem 2. Use the Palisade DecisionTools software to complete Problems 31, 32, and 33, and ensure that all Palisade software output is included in your files. The Palisade DecisionTools Excel software needs to be used to create the decision trees.To receive full credit on the assignment, complete the following.Ensure that the Palisade software output is included with your submission.Ensure that Excel files include the associated cell functions and/or formulas if functions and/or formulas are used.Include a written response to all narrative questions presented in the problem by placing it in the associated Excel file.Place each problem in its own Excel file. Ensure that your first and last name are in your Excel file names.
RES 710v4 Capella University Statistics Multiple Choice Questions Exam Practice
Use the GSS 2014 data on education from Ch. 5 (“The Normal Distribution”), Exercis ...
RES 710v4 Capella University Statistics Multiple Choice Questions Exam Practice
Use the GSS 2014 data on education from Ch. 5 (“The Normal Distribution”), Exercise 5.Estimation Practice data . Please see the attachment
Question 1
2 Points
What is the 95% confidence interval for the mean number of years of education for lower-class respondents?
11.60 to 12.62
23.20 to 25.24
5.80 to 6.31
13.60 to 14.62
Question 2 2 Points What is the 95% confidence interval for the mean number of years of education for and working-class respondents? 14.76 to 15.25 12.76 to 13.25 25.50 to 26.50 6.38 to 6.63 Question 3 2 Points What is the 99% confidence interval for the mean number of years of education for lower-class respondents? 11.44 to 12.78 5.72 to 6.39 13.55 to 14.89 22.88 to 25.56 Question 4 2 Points What is the 99% confidence interval for the mean number of years of education for and middle-class respondents? 18.65 to 19.33 4.65 to 5.33 7.33 to 7.67 14.65 to 15.33 Question 5 2 Points As our confidence in the result increases, how does the size of the confidence interval change? The confidence interval gets wider, not narrower – increasing confidence leading to less precise intervals. The confidence interval gets narrower, but not wider – decreasing confidence leading to more precise intervals. As the result increases, the confidence level remains the same. As the result increases, the confidence level is reduced.
Though 70% of women with children younger than 18 years participate in the labor force, society still upholds the stay-at-home mother as the traditional model. Some believe that employment distracts mothers from their parenting role, affecting the well-being of children. In the GSS 2014, respondents were asked to indicate their level of agreement to the statement, “A working mother hurts children.” Of the 435 male respondents who answered the question, 18% strongly agreed that a working mother does not hurt children.
Question 6 2 Points What is the 90% confidence interval for this statistic for males? 0.30 to 0.42 0.08 to 0.11 0.15 to 0.21 1.50 to 2.10 Question 7 2 Points Of the 566 female respondents who answered the question, 40% strongly agreed that a working mother does not hurt children. What is the 90% confidence interval for this statistic? 0.74 to 0.86 0.37 to 0.43 0.14 to 0.18 0.19 to 0.22
According to a report published by the Pew Research Center in February 2010, 61% of Millennials (Americans in their teens and 20s) think that their generation has a unique and distinctive identity (N = 527).
Question 8 2 Points What is the 95% confidence interval to estimate the percentage of Millennials who believe that their generation has a distinctive identity as compared with the other generations (Generation X, Baby Boomers, or the Silent Generation)? CI = 6.84 to 5.16 CI = 50.88 to 60.76 CI = 102.84 to 112.16 CI = 56.84 to 65.16 Question 9 2 Points What is the 99% confidence interval? CI = 55.53 to 66.47 CI = 111.06 to 132.94 CI = 27.77 to 33.24 CI = 57.55 to 68.49 Question 10 2 Points Are both these results compatible with the conclusion that the majority of Millennials believe that they have a unique identity that separates them from the previous generations? Yes No
SNHU Housing Price Prediction Model for DM Pan National Real Estate Company Paper
Competencies
In this project, you will demonstrate your mastery of the following competencies:
Apply statistical techni ...
SNHU Housing Price Prediction Model for DM Pan National Real Estate Company Paper
Competencies
In this project, you will demonstrate your mastery of the following competencies:
Apply statistical techniques to address research problems
Perform regression analysis to address an authentic problem
Overview
The purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.
Scenario
You have been hired by the D. M. Pan National Real Estate Company to develop a model to predict housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided.
Directions
Using the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate Data spreadsheet (both found in the Supporting Materials section) for your statistical analysis.
Note: Present your data in a clearly labeled table and using clearly labeled graphs.
Specifically, include the following in your report:
Introduction
Describe the report: Give a brief description of the purpose of your report.
Define the question your report is trying to answer.
Explain when using linear regression is most appropriate.
When using linear regression, what would you expect the scatterplot to look like?
Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.
Data Collection
Sampling the data: Select a random sample of 50 houses.
Identify your response and predictor variables.
Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.
Data Analysis
Histogram: For your two variables, create histograms.
Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.
Interpret the graphs and statistics:
Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.
Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales?
Develop Your Regression Model
Scatterplot: Provide a graph of the scatterplot of the data with a line of best fit.
Explain if a regression model is appropriate to develop based on your scatterplot.
Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
Identify any possible outliers or influential points and discuss their effect on the correlation.
Discuss keeping or removing outlier data points and what impact your decision would have on your model.
Find r: Find the correlation coefficient (r).
Explain how the r value you calculated supports what you noticed in your scatterplot.
Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.
Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.
Interpret regression equation: Interpret the slope and intercept in context.
Strength of the equation: Provide and interpret R-squared.
Determine the strength of the linear regression equation you developed.
Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.
Conclusions
Summarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.
Did you see the results you expected, or was anything different from your expectations or experiences?
What changes could support different results, or help to solve a different problem?
Provide at least one question that would be interesting for follow-up research.
Principles of Finance Exercises
Answers must be entered in Excel with work shown6. Determine the present values if $5,000 is received in the future (i.e., ...
Principles of Finance Exercises
Answers must be entered in Excel with work shown6. Determine the present values if $5,000 is received in the future (i.e., at the end of each indicated time period) in each of the following situations:a. 5 percent for ten years b.7 percent for seven years c.9 percent for four years 9. Assume you are planning to invest $5,000 each year for six years and will earn 10 percent per year. Determine the future value of this annuity if your first $5,000 is invested at the end of the first year. 10. Determine the present value now of an investment of $3,000 made one year from now and an additional $3,000 made two years from now if the annual discount rate is 4 percent. 11. What is the present value of a loan that calls for the payment of $500 per year for six years if the discount rate is 10 percent and the first payment will be made one year from now? How would your answer change if the $500 per year occurred for ten years? 12 Determine the annual payment on a $500,000, 12 percent business loan from a commercial bank that is to be amortized over a five-year period. 13 Determine the annual payment on a $15,000 loan that is to be amortized over a four-year period and carries a 10 percent interest rate. Also prepare a loan amortization schedule for this loan. 15 Assume a bank loan requires an interest payment of $85 per year and a principal payment of $1,000 at the end of the loan's eight-year life.a. At what amount could this loan be sold for to another bank if loans of similar quality carried an 8.5 percent interest rate? That is, what would be the present value of this loan? b.Now, if interest rates on other similar-quality loans are 10 percent, what would be the present value of this loan? c. What would be the present value of the loan if the interest rate is 8 percent on similar-quality loans?
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Miami Dade College Week 5 Life Insurance Discussion
Maybe you have considered buying a term life insurance policy. The expected value of any term life insurance product yield ...
Miami Dade College Week 5 Life Insurance Discussion
Maybe you have considered buying a term life insurance policy. The expected value of any term life insurance product yields a positive expected value for the insurance company and a negative expected value for you, meaning the insurance company will make profits by selling their insurance products. Would you still buy the term life insurance? Why or why not? Are there other examples other than insurance that uses this same concept?
Average Cost of Court Time Question
You paid $120 for a membership to a racquetball club. Court time is $4
per hour. Write a model that represents your aver ...
Average Cost of Court Time Question
You paid $120 for a membership to a racquetball club. Court time is $4
per hour. Write a model that represents your average cost per hour of
court time as a function of the number of hours played.A. B. C. D.
Decision making Techniques
Using specified data files, chapter example files, and templates from the “Topic 8 Student Data, Template, and Example F ...
Decision making Techniques
Using specified data files, chapter example files, and templates from the “Topic 8 Student Data, Template, and Example Files” topic material, complete Chapter 6, Problems 2, 31 (part a), 32, and 33 from the textbook. Use Microsoft Excel to complete Problem 2. Use the Palisade DecisionTools software to complete Problems 31, 32, and 33, and ensure that all Palisade software output is included in your files. The Palisade DecisionTools Excel software needs to be used to create the decision trees.To receive full credit on the assignment, complete the following.Ensure that the Palisade software output is included with your submission.Ensure that Excel files include the associated cell functions and/or formulas if functions and/or formulas are used.Include a written response to all narrative questions presented in the problem by placing it in the associated Excel file.Place each problem in its own Excel file. Ensure that your first and last name are in your Excel file names.
RES 710v4 Capella University Statistics Multiple Choice Questions Exam Practice
Use the GSS 2014 data on education from Ch. 5 (“The Normal Distribution”), Exercis ...
RES 710v4 Capella University Statistics Multiple Choice Questions Exam Practice
Use the GSS 2014 data on education from Ch. 5 (“The Normal Distribution”), Exercise 5.Estimation Practice data . Please see the attachment
Question 1
2 Points
What is the 95% confidence interval for the mean number of years of education for lower-class respondents?
11.60 to 12.62
23.20 to 25.24
5.80 to 6.31
13.60 to 14.62
Question 2 2 Points What is the 95% confidence interval for the mean number of years of education for and working-class respondents? 14.76 to 15.25 12.76 to 13.25 25.50 to 26.50 6.38 to 6.63 Question 3 2 Points What is the 99% confidence interval for the mean number of years of education for lower-class respondents? 11.44 to 12.78 5.72 to 6.39 13.55 to 14.89 22.88 to 25.56 Question 4 2 Points What is the 99% confidence interval for the mean number of years of education for and middle-class respondents? 18.65 to 19.33 4.65 to 5.33 7.33 to 7.67 14.65 to 15.33 Question 5 2 Points As our confidence in the result increases, how does the size of the confidence interval change? The confidence interval gets wider, not narrower – increasing confidence leading to less precise intervals. The confidence interval gets narrower, but not wider – decreasing confidence leading to more precise intervals. As the result increases, the confidence level remains the same. As the result increases, the confidence level is reduced.
Though 70% of women with children younger than 18 years participate in the labor force, society still upholds the stay-at-home mother as the traditional model. Some believe that employment distracts mothers from their parenting role, affecting the well-being of children. In the GSS 2014, respondents were asked to indicate their level of agreement to the statement, “A working mother hurts children.” Of the 435 male respondents who answered the question, 18% strongly agreed that a working mother does not hurt children.
Question 6 2 Points What is the 90% confidence interval for this statistic for males? 0.30 to 0.42 0.08 to 0.11 0.15 to 0.21 1.50 to 2.10 Question 7 2 Points Of the 566 female respondents who answered the question, 40% strongly agreed that a working mother does not hurt children. What is the 90% confidence interval for this statistic? 0.74 to 0.86 0.37 to 0.43 0.14 to 0.18 0.19 to 0.22
According to a report published by the Pew Research Center in February 2010, 61% of Millennials (Americans in their teens and 20s) think that their generation has a unique and distinctive identity (N = 527).
Question 8 2 Points What is the 95% confidence interval to estimate the percentage of Millennials who believe that their generation has a distinctive identity as compared with the other generations (Generation X, Baby Boomers, or the Silent Generation)? CI = 6.84 to 5.16 CI = 50.88 to 60.76 CI = 102.84 to 112.16 CI = 56.84 to 65.16 Question 9 2 Points What is the 99% confidence interval? CI = 55.53 to 66.47 CI = 111.06 to 132.94 CI = 27.77 to 33.24 CI = 57.55 to 68.49 Question 10 2 Points Are both these results compatible with the conclusion that the majority of Millennials believe that they have a unique identity that separates them from the previous generations? Yes No
SNHU Housing Price Prediction Model for DM Pan National Real Estate Company Paper
Competencies
In this project, you will demonstrate your mastery of the following competencies:
Apply statistical techni ...
SNHU Housing Price Prediction Model for DM Pan National Real Estate Company Paper
Competencies
In this project, you will demonstrate your mastery of the following competencies:
Apply statistical techniques to address research problems
Perform regression analysis to address an authentic problem
Overview
The purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.
Scenario
You have been hired by the D. M. Pan National Real Estate Company to develop a model to predict housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided.
Directions
Using the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate Data spreadsheet (both found in the Supporting Materials section) for your statistical analysis.
Note: Present your data in a clearly labeled table and using clearly labeled graphs.
Specifically, include the following in your report:
Introduction
Describe the report: Give a brief description of the purpose of your report.
Define the question your report is trying to answer.
Explain when using linear regression is most appropriate.
When using linear regression, what would you expect the scatterplot to look like?
Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.
Data Collection
Sampling the data: Select a random sample of 50 houses.
Identify your response and predictor variables.
Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.
Data Analysis
Histogram: For your two variables, create histograms.
Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.
Interpret the graphs and statistics:
Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.
Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales?
Develop Your Regression Model
Scatterplot: Provide a graph of the scatterplot of the data with a line of best fit.
Explain if a regression model is appropriate to develop based on your scatterplot.
Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
Identify any possible outliers or influential points and discuss their effect on the correlation.
Discuss keeping or removing outlier data points and what impact your decision would have on your model.
Find r: Find the correlation coefficient (r).
Explain how the r value you calculated supports what you noticed in your scatterplot.
Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.
Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.
Interpret regression equation: Interpret the slope and intercept in context.
Strength of the equation: Provide and interpret R-squared.
Determine the strength of the linear regression equation you developed.
Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.
Conclusions
Summarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.
Did you see the results you expected, or was anything different from your expectations or experiences?
What changes could support different results, or help to solve a different problem?
Provide at least one question that would be interesting for follow-up research.
Principles of Finance Exercises
Answers must be entered in Excel with work shown6. Determine the present values if $5,000 is received in the future (i.e., ...
Principles of Finance Exercises
Answers must be entered in Excel with work shown6. Determine the present values if $5,000 is received in the future (i.e., at the end of each indicated time period) in each of the following situations:a. 5 percent for ten years b.7 percent for seven years c.9 percent for four years 9. Assume you are planning to invest $5,000 each year for six years and will earn 10 percent per year. Determine the future value of this annuity if your first $5,000 is invested at the end of the first year. 10. Determine the present value now of an investment of $3,000 made one year from now and an additional $3,000 made two years from now if the annual discount rate is 4 percent. 11. What is the present value of a loan that calls for the payment of $500 per year for six years if the discount rate is 10 percent and the first payment will be made one year from now? How would your answer change if the $500 per year occurred for ten years? 12 Determine the annual payment on a $500,000, 12 percent business loan from a commercial bank that is to be amortized over a five-year period. 13 Determine the annual payment on a $15,000 loan that is to be amortized over a four-year period and carries a 10 percent interest rate. Also prepare a loan amortization schedule for this loan. 15 Assume a bank loan requires an interest payment of $85 per year and a principal payment of $1,000 at the end of the loan's eight-year life.a. At what amount could this loan be sold for to another bank if loans of similar quality carried an 8.5 percent interest rate? That is, what would be the present value of this loan? b.Now, if interest rates on other similar-quality loans are 10 percent, what would be the present value of this loan? c. What would be the present value of the loan if the interest rate is 8 percent on similar-quality loans?
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