Description
Find the exact value of each expression. Sin(x)= (-1/5) cos(x) >0; find tan(x)
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
sin(x)/cos(x)=-(1/5)
tan(x)=-(1/5)
Completion Status:
100%
Review
Review
Anonymous
Awesome! Made my life easier.
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
Triola: Elementary Statistics, statistics homework help
Week 3 HomeworkWeek 3: Homework Assignmentboy mathSectionQuestions (Every other odd means 1, 5, 9, ...)6.21-47 (Every othe ...
Triola: Elementary Statistics, statistics homework help
Week 3 HomeworkWeek 3: Homework Assignmentboy mathSectionQuestions (Every other odd means 1, 5, 9, ...)6.21-47 (Every other odd)6.31-33 (Every other odd)6.41-17 (odd)6.51-21 (odd)6.61-19 (odd)6.71-23 (odd)7.21-37 (Every other odd)7.31-41 (Every other odd)7.41-21 (odd)Please attempt SOME of the questions in this homework assignment. You do not have to do all listed, but please try at least one problem of each type per section.Please also visit this website for extra practice problems. It is InterActMath: http://www.interactmath.com. You click Enter, find “Triola: Elementary Statistics, 12e” and then click Submit.Please use the MSL site for the optional Homework if you have the Access Card bundled with your textbook by clicking on MyStatLab under Start Here. Completing your Homework helps prepare you for the Quizzes and Tests each Week. Your Homework is your main form of a Study Guide in this course, even though it is not a graded assignment.The PowerPoint Lectures under each Week go into more depth on the concepts for each Chapter.
well-diversified portfolio
You have $400,000 invested in a well-diversified portfolio. You inherit a house that is presently worth $200,000. Consider ...
well-diversified portfolio
You have $400,000 invested in a well-diversified portfolio. You inherit a house that is presently worth $200,000. Consider the summary measures in the following table: InvestmentExpected ReturnStandard Deviation Old portfolio6%16% House8%20%The correlation coefficient between your portfolio and the house is 0.38.a.What is the expected return and the standard deviation of your portfolio comprising your old portfolio and the house? (Do not round intermediate calculations. Round your final answers to 2 decimal places.) Expected return % Standard deviation %
Week 1 Assignment: Predictive analytics techniques
The purpose of this assignment is to use predictive analytics techniques and the graphs and charts associated with these t ...
Week 1 Assignment: Predictive analytics techniques
The purpose of this assignment is to use predictive analytics techniques and the graphs and charts associated with these techniques to forecast outcomes and make business decisions.Using specified data files, chapter example files, and templates from the “Topic 1 Student Data, Template, and Example Files” topic material, complete Chapter 12 Problems 28, 30, 34, 46, 60, 62 (b through e), and 63 from the textbook. Use the Palisade DecisionTools Excel software to complete these problems where requested and applicable. Problem 60 should be completed using only Excel.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.Chapter 12 Problems 28, 30, 34, 46, 60, 62 (b through e), and 63 from the textbook:28. The file P12_10.xlsx contains annual revenues for a convenience store. If you want to forecast revenue for the next few years with the moving averages method, what span should you use? Will any span work well?.30. The file P02_28.xlsx contains total monthly U.S. retail sales data. While holding out the final six months of observations for validation purposes, use the method of moving averages with one or more spans of your choice to forecast U.S. retail sales for the next 12 months. Comment on the performance of your model. What makes this time series more challenging to forecast?34. Consider the American Express closing price data in the file P12_16.xlsx.a. Create a time series chart of the data. Based on what you see, which of the exponential smoothing models do you think should be used for forecasting? Why?b. Use Holt’s exponential smoothing to forecast these data, using no holdout period and requesting 20 days of future forecasts. Use the default smoothing constants of 0.1.c. Repeat part b, optimizing the smoothing constants. Does it make much of an improvement?d. Repeat parts a and b, this time using a holdout period of 50 days.e. Write a short report to summarize your results.46. The file P12_46.xlsx contains monthly time series data for total U.S. retail sales of building materials, garden equipment, and supplies dealers.a. Is seasonality present in these data? If so, characterize the seasonality pattern.b. Use the Deseasonalize option in StatTools to forecast the deseasonalized data for each month of the next year using the moving average method with an appropriate span.c. Does Holt’s exponential smoothing method, with optimal smoothing constants, outperform the moving average method employed in part b? Demonstrate why or why not.60. The file P12_60.xlsx lists annual revenues (in millions of dollars) for Nike. Create a time series graph of these data. Then superimpose a trend line with Excel’s Trendline option. Which of the possible Trendline options seems to provide the best fit? Using this option, what are your forecasts for the next two years?62. The file P12_62.xlsx contains data on a motel chain’s revenue and advertising.b. Use simple exponential smoothing to make predictions for the motel chain’s revenues during the next four quarters.c. Use Holt’s method to make forecasts for the motel chain’s revenues during the next four quarters.d. Use Winters’ method to determine predictions for the motel chain’s revenues during the next four quarters.e. Which of these forecasting methods would you expect to be the most accurate for these data?63. The file P12_63.xlsx contains data on monthly U.S. permits for new housing units (in thousands of houses).a. Using Winters’ method, find values of , , and that yield an RMSE as small as possible. Does this method track the housing crash in recent years?b. Although we have not discussed autocorrelation for smoothing methods, good forecasts derived from smoothing methods should exhibit no substantial autocorrelation in their forecast errors. Is this true for the forecasts in part a?c. At the end of the observed period, what is the forecast of housing sales during the next few months?PLEASE USE THE ATTACHED "MIS-665-RS-Topic-1-Student-Data-Template-and-Example-Files.zip" TO GAIN THE DATA FOR EACH QUESTION.
Week Three Application Assignment
Week Three - Application AssignmentAnswer the following questions in a Word document and upload the document to the approp ...
Week Three Application Assignment
Week Three - Application AssignmentAnswer the following questions in a Word document and upload the document to the appropriate drop box.1) A museum borrows $2,000,000 at simple annual interest to purchase new exhibits. Let x represent the amount borrowed at 7%, y represent the amount borrowed at 8.5%, and z represent the amount borrowed at 9.5%. Set up a system of linear equations to determine how much is borrowed at each rate given that the total annual interest is $169,750 and the amount borrowed at 8.5% is four times the amount borrowed at 9.5%. You do not have to solve the system.2) At a local store, the numbers of gallons of skim milk, 2% milk, and whole milk sold over the weekend are represented by a matrix A. Skim 2% Whole Friday 40 64 52 Saturday 60 82 76 Sunday 76 96 84The selling prices per gallon and the profits per gallon for the three types of milk are represented by B. Selling price Profit Skim $3.45 $1.20 2% $3.65 $1.30 Whole $3.85 $1.45 a) Compute AB and interpret the result. b) Find the store's total profit from milk sales for the weekend3) A florist is creating 10 centerpieces. Roses cost $2.50 each, lilies cost $4 each, and irises cost $2 each. A customer plans on spending $300 on 10 centerpieces with each centerpiece containing 12 flowers, with twice as many roses as the number of irises and lilies combined. a) Write a system of linear equations that represents the situation. Then write a matrix equation that corresponds to your system. b) Find the number of flowers of each type that the florist can use to create the 10 centerpieces.4) One hundred liters of a 50% solution of a chemical mixture is obtained by mixing a 60% solution with a 20% solution. Using a system of linear equations determine how many liters of each solution are required to obtain the 50% mixture. Solve the system using matrices.
elements of statistics Online Assignment
Hello , I want someone to help me with my statistics homework.I have a Online Homework , and its a 13 questions I will pos ...
elements of statistics Online Assignment
Hello , I want someone to help me with my statistics homework.I have a Online Homework , and its a 13 questions I will post the picture of each question.I just want the answers please no need for the explanations of problems.thank you.
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, co ...
MAT 243 Correlation Coefficient Discussion
PART 1Use 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 about correlation coefficient and simple linear regression. A car rental company wants to evaluate the premise that heavier cars are less fuel efficient than lighter cars. In other words, the company expects that fuel efficiency (miles per gallon) and weight of the car (often measured in thousands of pounds) are correlated. Performing this analysis will help the company optimize its business model and charge its customers appropriately.In this discussion, you will work with a cars data set that includes two variables:Miles per gallon (coded as mpg in the data set)Weight of the car (coded as wt in the data set)The random sample will be drawn from a CSV file. This data 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.In your initial post, address the following items:You created a scatterplot of miles per gallon against weight; check to make sure it was included in your attachment. Does the graph show any trend? If yes, is the trend what you expected? Why or why not? See Step 2 in the Python script.What is the coefficient of correlation between miles per gallon and weight? What is the sign of the correlation coefficient? Does the coefficient of correlation indicate a strong correlation, weak correlation, or no correlation between the two variables? How do you know? See Step 3 in the Python script.Write the simple linear regression equation for miles per gallon as the response variable and weight as the predictor variable. How might the car rental company use this model? See Step 4 in the Python script.What is the slope coefficient? Is this coefficient significant at a 5% level of significance (alpha=0.05)? (Hint: Check the P-value, , for weight in the Python output.) See Step 4 in the Python script.In your follow-up posts to other students, review your peers' calculations and provide some analysis and interpretation:How do their plots and correlation coefficients compare with yours?Would you recommend this regression model to the car rental company? Why or why not?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 For this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.1.Python Script: To complete the tasks listed below, open the Project Two 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:oHypothesis tests for a population parameter§Hypothesis tests for a population mean§Hypothesis test for a population proportionoHypothesis test for the difference between two population parameters§Hypothesis test for difference between two population means2.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:oIntroduction: Set the context for your scenario and the analyses you will be performing.oHypothesis tests for the population mean: Discuss all steps of the hypothesis tests and interpret your results.oHypothesis test for the population proportion: Discuss all steps of the hypothesis test and interpret your results.oHypothesis test for the difference between two population means: Discuss all steps of the hypothesis test and interpret your results.oConclusion: 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.
Similar Content
Calculus Practice Questions Graphing Inequalities Limits And Intervals
...
Math Story Problems Decimals
Shandra is preparing to run in a race. On Tuesday she ran 1.5 miles, on Thursday she ran 2.9 miles and on Saturday she ran...
Probability Mass Function Statistic Quiz
The quiz is one hour and it is really basic. The attachments are similar problems for the quiz ...
MTH 3102 University of Guyana Compute the Values Vector Calculus Questions
VECTOR CALCULUS
For the Research Presentation:
PART A: Present Stoke's Theorem showing clearly the proof of the theorem
PA...
Normandale Community College General Statistics Questions
(Assume all distributions are normally distributed.) 1a) State H0 and Ha b) Find the critical value, show work c) Find th...
Help with Algebra questions
-3/4 - (-13/28)=?...
Oomuse Template 1
The actual measurements of my room are 18 feet by 12 feet. 2. What is the scale that you will use for your scale drawing t...
Permutationcode
for this exercise, the question is not, what is the combination? really is, what is the permutation of the password? is a ...
La Solution
p(x) = a0 + a1 x + a2 x 2 + a3 x 3 + a4 x 4 (1) + f(1) = a1 + 2a2 + 3a3 + 4a4 + a1 + a2 + a3 + a4 = 0 (∵ p(x) ∈ S)...
Related Tags
Book Guides
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
Triola: Elementary Statistics, statistics homework help
Week 3 HomeworkWeek 3: Homework Assignmentboy mathSectionQuestions (Every other odd means 1, 5, 9, ...)6.21-47 (Every othe ...
Triola: Elementary Statistics, statistics homework help
Week 3 HomeworkWeek 3: Homework Assignmentboy mathSectionQuestions (Every other odd means 1, 5, 9, ...)6.21-47 (Every other odd)6.31-33 (Every other odd)6.41-17 (odd)6.51-21 (odd)6.61-19 (odd)6.71-23 (odd)7.21-37 (Every other odd)7.31-41 (Every other odd)7.41-21 (odd)Please attempt SOME of the questions in this homework assignment. You do not have to do all listed, but please try at least one problem of each type per section.Please also visit this website for extra practice problems. It is InterActMath: http://www.interactmath.com. You click Enter, find “Triola: Elementary Statistics, 12e” and then click Submit.Please use the MSL site for the optional Homework if you have the Access Card bundled with your textbook by clicking on MyStatLab under Start Here. Completing your Homework helps prepare you for the Quizzes and Tests each Week. Your Homework is your main form of a Study Guide in this course, even though it is not a graded assignment.The PowerPoint Lectures under each Week go into more depth on the concepts for each Chapter.
well-diversified portfolio
You have $400,000 invested in a well-diversified portfolio. You inherit a house that is presently worth $200,000. Consider ...
well-diversified portfolio
You have $400,000 invested in a well-diversified portfolio. You inherit a house that is presently worth $200,000. Consider the summary measures in the following table: InvestmentExpected ReturnStandard Deviation Old portfolio6%16% House8%20%The correlation coefficient between your portfolio and the house is 0.38.a.What is the expected return and the standard deviation of your portfolio comprising your old portfolio and the house? (Do not round intermediate calculations. Round your final answers to 2 decimal places.) Expected return % Standard deviation %
Week 1 Assignment: Predictive analytics techniques
The purpose of this assignment is to use predictive analytics techniques and the graphs and charts associated with these t ...
Week 1 Assignment: Predictive analytics techniques
The purpose of this assignment is to use predictive analytics techniques and the graphs and charts associated with these techniques to forecast outcomes and make business decisions.Using specified data files, chapter example files, and templates from the “Topic 1 Student Data, Template, and Example Files” topic material, complete Chapter 12 Problems 28, 30, 34, 46, 60, 62 (b through e), and 63 from the textbook. Use the Palisade DecisionTools Excel software to complete these problems where requested and applicable. Problem 60 should be completed using only Excel.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.Chapter 12 Problems 28, 30, 34, 46, 60, 62 (b through e), and 63 from the textbook:28. The file P12_10.xlsx contains annual revenues for a convenience store. If you want to forecast revenue for the next few years with the moving averages method, what span should you use? Will any span work well?.30. The file P02_28.xlsx contains total monthly U.S. retail sales data. While holding out the final six months of observations for validation purposes, use the method of moving averages with one or more spans of your choice to forecast U.S. retail sales for the next 12 months. Comment on the performance of your model. What makes this time series more challenging to forecast?34. Consider the American Express closing price data in the file P12_16.xlsx.a. Create a time series chart of the data. Based on what you see, which of the exponential smoothing models do you think should be used for forecasting? Why?b. Use Holt’s exponential smoothing to forecast these data, using no holdout period and requesting 20 days of future forecasts. Use the default smoothing constants of 0.1.c. Repeat part b, optimizing the smoothing constants. Does it make much of an improvement?d. Repeat parts a and b, this time using a holdout period of 50 days.e. Write a short report to summarize your results.46. The file P12_46.xlsx contains monthly time series data for total U.S. retail sales of building materials, garden equipment, and supplies dealers.a. Is seasonality present in these data? If so, characterize the seasonality pattern.b. Use the Deseasonalize option in StatTools to forecast the deseasonalized data for each month of the next year using the moving average method with an appropriate span.c. Does Holt’s exponential smoothing method, with optimal smoothing constants, outperform the moving average method employed in part b? Demonstrate why or why not.60. The file P12_60.xlsx lists annual revenues (in millions of dollars) for Nike. Create a time series graph of these data. Then superimpose a trend line with Excel’s Trendline option. Which of the possible Trendline options seems to provide the best fit? Using this option, what are your forecasts for the next two years?62. The file P12_62.xlsx contains data on a motel chain’s revenue and advertising.b. Use simple exponential smoothing to make predictions for the motel chain’s revenues during the next four quarters.c. Use Holt’s method to make forecasts for the motel chain’s revenues during the next four quarters.d. Use Winters’ method to determine predictions for the motel chain’s revenues during the next four quarters.e. Which of these forecasting methods would you expect to be the most accurate for these data?63. The file P12_63.xlsx contains data on monthly U.S. permits for new housing units (in thousands of houses).a. Using Winters’ method, find values of , , and that yield an RMSE as small as possible. Does this method track the housing crash in recent years?b. Although we have not discussed autocorrelation for smoothing methods, good forecasts derived from smoothing methods should exhibit no substantial autocorrelation in their forecast errors. Is this true for the forecasts in part a?c. At the end of the observed period, what is the forecast of housing sales during the next few months?PLEASE USE THE ATTACHED "MIS-665-RS-Topic-1-Student-Data-Template-and-Example-Files.zip" TO GAIN THE DATA FOR EACH QUESTION.
Week Three Application Assignment
Week Three - Application AssignmentAnswer the following questions in a Word document and upload the document to the approp ...
Week Three Application Assignment
Week Three - Application AssignmentAnswer the following questions in a Word document and upload the document to the appropriate drop box.1) A museum borrows $2,000,000 at simple annual interest to purchase new exhibits. Let x represent the amount borrowed at 7%, y represent the amount borrowed at 8.5%, and z represent the amount borrowed at 9.5%. Set up a system of linear equations to determine how much is borrowed at each rate given that the total annual interest is $169,750 and the amount borrowed at 8.5% is four times the amount borrowed at 9.5%. You do not have to solve the system.2) At a local store, the numbers of gallons of skim milk, 2% milk, and whole milk sold over the weekend are represented by a matrix A. Skim 2% Whole Friday 40 64 52 Saturday 60 82 76 Sunday 76 96 84The selling prices per gallon and the profits per gallon for the three types of milk are represented by B. Selling price Profit Skim $3.45 $1.20 2% $3.65 $1.30 Whole $3.85 $1.45 a) Compute AB and interpret the result. b) Find the store's total profit from milk sales for the weekend3) A florist is creating 10 centerpieces. Roses cost $2.50 each, lilies cost $4 each, and irises cost $2 each. A customer plans on spending $300 on 10 centerpieces with each centerpiece containing 12 flowers, with twice as many roses as the number of irises and lilies combined. a) Write a system of linear equations that represents the situation. Then write a matrix equation that corresponds to your system. b) Find the number of flowers of each type that the florist can use to create the 10 centerpieces.4) One hundred liters of a 50% solution of a chemical mixture is obtained by mixing a 60% solution with a 20% solution. Using a system of linear equations determine how many liters of each solution are required to obtain the 50% mixture. Solve the system using matrices.
elements of statistics Online Assignment
Hello , I want someone to help me with my statistics homework.I have a Online Homework , and its a 13 questions I will pos ...
elements of statistics Online Assignment
Hello , I want someone to help me with my statistics homework.I have a Online Homework , and its a 13 questions I will post the picture of each question.I just want the answers please no need for the explanations of problems.thank you.
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, co ...
MAT 243 Correlation Coefficient Discussion
PART 1Use 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 about correlation coefficient and simple linear regression. A car rental company wants to evaluate the premise that heavier cars are less fuel efficient than lighter cars. In other words, the company expects that fuel efficiency (miles per gallon) and weight of the car (often measured in thousands of pounds) are correlated. Performing this analysis will help the company optimize its business model and charge its customers appropriately.In this discussion, you will work with a cars data set that includes two variables:Miles per gallon (coded as mpg in the data set)Weight of the car (coded as wt in the data set)The random sample will be drawn from a CSV file. This data 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.In your initial post, address the following items:You created a scatterplot of miles per gallon against weight; check to make sure it was included in your attachment. Does the graph show any trend? If yes, is the trend what you expected? Why or why not? See Step 2 in the Python script.What is the coefficient of correlation between miles per gallon and weight? What is the sign of the correlation coefficient? Does the coefficient of correlation indicate a strong correlation, weak correlation, or no correlation between the two variables? How do you know? See Step 3 in the Python script.Write the simple linear regression equation for miles per gallon as the response variable and weight as the predictor variable. How might the car rental company use this model? See Step 4 in the Python script.What is the slope coefficient? Is this coefficient significant at a 5% level of significance (alpha=0.05)? (Hint: Check the P-value, , for weight in the Python output.) See Step 4 in the Python script.In your follow-up posts to other students, review your peers' calculations and provide some analysis and interpretation:How do their plots and correlation coefficients compare with yours?Would you recommend this regression model to the car rental company? Why or why not?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 For this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.1.Python Script: To complete the tasks listed below, open the Project Two 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:oHypothesis tests for a population parameter§Hypothesis tests for a population mean§Hypothesis test for a population proportionoHypothesis test for the difference between two population parameters§Hypothesis test for difference between two population means2.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:oIntroduction: Set the context for your scenario and the analyses you will be performing.oHypothesis tests for the population mean: Discuss all steps of the hypothesis tests and interpret your results.oHypothesis test for the population proportion: Discuss all steps of the hypothesis test and interpret your results.oHypothesis test for the difference between two population means: Discuss all steps of the hypothesis test and interpret your results.oConclusion: 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.
Earn money selling
your Study Documents