Basic Math Accelerated Assignment

Basic Math Accelerated Assignment
On My Math Lab Pearson, I need only one module complete and that is Module 2. No test is required, simply the work for each section and the quick check. I can provide the login details and answer any questions you have.

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Basic Math Accelerated Assignment

 
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College Trigonometry Assignment

College Trigonometry Assignment
 
I need someone to login into my class and help me with several quizzes. Five quizzes total.

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College Trigonometry Assignment

 
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Positive and Negative Correlation Essay

Positive and Negative Correlation Essay
Can you help me understand this Statistics question?
Graduate level writing
Post should be at least 400 words.
Use a minimum of 2 additional references
APA formating
For this week’s forum, provide an example of two variables that are correlated in a strong and positive direction and two that are correlated in a strong a negative direction.
You aren’t required to provide a research article to support these relationships but you are welcome to if you chose. Positive and Negative Correlation Essay

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Please comment on any other factors that could influence their relationship and what can an cannot be inferred from these correlations. Topics are first-come, first-serve so please select examples that no other classmates have chosen.
Can you help me understand this Statistics question?
Graduate level writing
Post should be at least 400 words.
Use a minimum of 2 additional references
APA formating
For this week’s forum, provide an example of two variables that are correlated in a strong and positive direction and two that are correlated in a strong a negative direction.
You aren’t required to provide a research article to support these relationships but you are welcome to if you chose.
Please comment on any other factors that could influence their relationship and what can an cannot be inferred from these correlations. Topics are first-come, first-serve so please select examples that no other classmates have chosen. Positive and Negative Correlation Essay

 
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Statistics Mat 240 Assignment

Statistics Mat 240 Assignment

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 median 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 median 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.Statistics Mat 240 Assignment

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 County 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

  1. Describe the report: Give a brief description of the purpose of your report.
    1. Define the question your report is trying to answer.
    2. Explain when using linear regression is most appropriate.
      1. When using linear regression, what would you expect the scatterplot to look like?
    3. Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.

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Data Collection

  1. Sampling the data: Select a random sample of 50 counties.
    1. Identify your response and predictor variables.
  2. Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.

Data Analysis

  1. Histogram: For your two variables, create histograms.
  2. Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.
  3. Interpret the graphs and statistics:
    1. Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.
    2. 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

  1. Scatterplot: Provide a graph of the scatterplot of the data with a line of best fit.
    1. Explain if a regression model is appropriate to develop based on your scatterplot.
  2. Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
    1. Identify any possible outliers or influential points and discuss their effect on the correlation.
    2. Discuss keeping or removing outlier data points and what impact your decision would have on your model.
  3. Find r: Find the correlation coefficient (r).
    1. 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.Statistics Mat 240 Assignment

  1. Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.
  2. Interpret regression equation: Interpret the slope and intercept in context.
  3. Strength of the equation: Provide and interpret R-squared.
    1. Determine the strength of the linear regression equation you developed.
  4. 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

  1. Summarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.
    1. Did you see the results you expected, or was anything different from your expectations or experiences?
      1. What changes could support different results, or help to solve a different problem?
      2. Provide at least one question that would be interesting for follow-up research.
What to Submit

To complete this project, you must submit the following:
Project One Template: Use this template to structure your report, and submit the finished version as a Word document.

Supporting Materials

The following resources may help support your work on the project:
Document: National Statistics and Graphs
Use this data for input in your project report.
Spreadsheet: Real Estate County Data
Use this data for input in your project report.
Tutorial: Downloading Office 365 Programs
Use this tutorial for support with Office 365 programs.
Use these tutorials for support with the Excel functions you will use in the project:

Statistics Mat 240 Assignment

 
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Assignment: Ethics in Accounting

Assignment: Ethics in Accounting

Click the link above to submit your assignment.
Assignment: Ethics in Accounting
Due Week 9 and worth 170 points
Effective financial reporting depends on sound ethical behavior. Financial scandals in accounting and the businesses world have resulted in legislation to ensure adequate disclosures and honesty and integrity in financial reporting. A sound economy is contingent on truthful and reliable financial reporting.Assignment: Ethics in Accounting
Instructions:

  • Read the following scenario.
  • Answer the questions that follow. This will be a 2-3 page submission in a question and answer format (also in paragraph form). An introduction and conclusion is not required.
  • Refer back to your textbook for guidance on how to think through the scenario.

You have been recently hired as an assistant controller for XYZ Industries, a large, publically held manufacturing company. Your immediate supervisor is the controller who also reports directly to the VP of Finance. The controller has assigned you the task of preparing the year-end adjusting entries.  In the receivables area, you have prepared an aging accounts receivable and have applied historical percentages to the balances of each of the age categories.  The analysis indicates that an appropriate estimated balance for the allowance for uncollectible accounts is $180,000.  The existing balance in the allowance account prior to any adjusting entry is a $20,000 credit balance.

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After showing your analysis to the controller, he tells you to change the aging category of a large account from over 120 days to current status and to prepare a new invoice to the customer with a revised date that agrees with the new category.  This will change the required allowance for uncollectible accounts from $180,000 to $135,000. Tactfully, you ask the controller for an explanation for the change and he tells you “We need the extra income, the bottom line is too low.”
Required:
In a 2-3 page paper, discuss the following:

  1. Consider what you have learned relative to ethics and financial reporting. What is the rationale for the calculations/process used to estimate the $180,000 uncollectible allowance?
  2. How do you think the misstatement of funds will impact the income statement and balance sheet?
  3. What is the ethical dilemma you face? What are the ethical considerations? Consider your options and responsibilities as assistant controller.
  4. Identify the key internal and external stakeholders. What are the negative impacts that can happen if you do not follow the instructions of your supervisor?
  5. What are the potential consequences if you do comply with your supervisor’s instructions? Who will be negatively impacted?Assignment: Ethics in Accounting

Additional Requirements:

  • Use at least one (1) quality academic resource (in addition to your textbook) for this assignment. Note: Wikipedia and similar websites do not qualify as academic resources. You have access to Strayer University’s Online Library at https://research.strayer.edu and the iCampus University Library Research page at https://icampus.strayer.edu/library/research.

Your assignment must follow these formatting requirements:

  • Your paper should be double spaced (Arial or Times Roman 12 pt font) and follow general Strayer Writing Standards (SWS) as they relate to references and citations. Please take a moment to review the SWS documentation for details (more information and an example is included in the Strayer Writing Standards menu link located in your Blackboard).
  • Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.

Click here to view the grading rubric for this assignment.

Assignment: Ethics in Accounting

 
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Math Week 8

Answer all questions:

Pay attention to the full question (all parts of the question).

1.  For the following system of equation, find a solution or show that no solution exists:

2y +3x – 3z  = 16

            2x + 3y + 4z = -8

            3z + 2x – 5y = 26

Show details:

The solution is:  x = 6;   y = -4;  z = -2

2. A goldsmith combined an alloy that costs $4.30 per ounce with an alloy that costs $1.80 per ounce. How many ounces of each were used to make a mixture of 200 ounces costing $2.50 per ounce?

Show details:

3. An airplane travels 1,200 miles in 4 hours with the wind. The same trip takes 5 hours against the wind. What is the speed of the plane in still air and what is the wind speed?

Show all work.

Graph your answer.

4) Write the augmented matrix for the system of equations shown.

     5z + 4x + 4y = 22

     3x + 7y = -2z -17

     4x + 3y + 3z =6

5) Write the system of equations for the augmented matrix shown.

         -2   3  4  |  18

           -3   4  2  |  5

           -2   3  3  |  12

6) For the following system of equation, find a solution or show that no solutionexists:

            5y +3z – 4x  = -3z + 3

            4z + 6y + 5x = -19

            5y + 3x + 4z = -12

7) For the following system of equation, find a solution or show that no solutionexists:

        x + y + z  = 1

        2x – 3y + 7z = 0

        3x – 2y + 8z = 4

8) If 105 people attended a concert and tickets for adults costs $2.50 while tickets for children cost $1.75 and total receipts for the concert were $228, how many children and how many adults went to the concert?

 
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Applied Statistics Project Help

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 median 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 median 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 County 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

  1. Describe the report: Give a brief description of the purpose of your report.
    1. Define the question your report is trying to answer.
    2. Explain when using linear regression is most appropriate.
      1. When using linear regression, what would you expect the scatterplot to look like?
    3. Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.

Data Collection

  1. Sampling the data: Select a random sample of 50 counties.
    1. Identify your response and predictor variables.
  2. Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.

Data Analysis

  1. Histogram: For your two variables, create histograms.
  2. Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.
  3. Interpret the graphs and statistics:
    1. Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.
    2. 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

  1. Scatterplot: Provide a graph of the scatterplot of the data with a line of best fit.
    1. Explain if a regression model is appropriate to develop based on your scatterplot.
  2. Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
    1. Identify any possible outliers or influential points and discuss their effect on the correlation.
    2. Discuss keeping or removing outlier data points and what impact your decision would have on your model.
  3. Find r: Find the correlation coefficient (r).
    1. 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.

  1. Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.
  2. Interpret regression equation: Interpret the slope and intercept in context.
  3. Strength of the equation: Provide and interpret R-squared.
    1. Determine the strength of the linear regression equation you developed.
  4. 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

  1. Summarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.
    1. Did you see the results you expected, or was anything different from your expectations or experiences?
      1. What changes could support different results, or help to solve a different problem?
      2. Provide at least one question that would be interesting for follow-up research.

What to Submit

To complete this project, you must submit the following:

Project One Template: Use this template to structure your report, and submit the finished version as a Word document.

 
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Essay

 *There are several assumptions for the use of an independent samples t test. State each of these and the implications should these assumptions be violated. Is it possible for a p value to equal 0? Why or why not? *There are several indices on effect sizes for independent samples t tests. Describe three of these and when one might be used over the others. Next, given a situation in which a research reports a large eta squared effect size (eta squared = .64), why might their reported t value be small and not statistically significant? What may be inference from such a situation? Indicate and provide examples of three of the factors that influence the size of t.

*  For each essay assignment, answer both essay questions using a minimum of 300 words for each essay. A title page (no abstract) and reference page are required. Current APA 7th Edition must be used to cite sources. There must also be 3 References.

 
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Statistic

1.  What does Anova Stand for and what is it used for?

2. In a one way Anova, what is the difference between the among group variation and the within-group variances?

3. What are the 3 assumptions needed to complete the ANOVA analysis and explain

4.  Use the Classwork week 6 excel spreadsheet below and solve the problem provided.  You will need the following table to find the Qcritical value.

http://davidmlane.com/hyperstat/sr_table.html

Watch the following video on how to find the tukey-kramer comparison for part b of the problem

VIDEO https://www.youtube.com/watch?v=z3dnGuAry2w&feature=emb_title

the excel file “one-way ANOVA”  workbook provides examples and formulas. Worksheet TK and TK_Formulas provides formulas for the Tukey Kramer part of the problem

5. Go over the Ch. 12 lecture slides and answer the following questions:

a. what are contingency tables used for? Provide 3 reasons

b. Draw a sample Contingency table and put the appropriate labels

c. What is the Chi-Squared Test Statistic? Write out the formula ( do it by hand if you can’t use a math editor program)

d. what is fo ?

e. What is fe  ?

f. Is there a Chi critical value and if so, how do you find it?

 
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