Provide one specific, real-life example of how either financial accounting helps external stakeholders make informed decisions or how managerial accounting helps managers to improve operational and financial performance.

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Compare and contrast financial and managerial accounting

Compare and contrast financial and managerial accounting. Provide one specific, real-life example of how either financial accounting helps external stakeholders make informed decisions or how managerial accounting helps managers to improve operational and financial performance.

Your paper must be formatted according to APA 6th edition guidelines, and you need to use at least three external references. Save your file as “LastnameFirstinitial-ACCT105-8.”

Submit your work by midnight ET on Day 7 (Sunday).

Note that your attached paper will automatically be submitted to Turnitin, and an Originality Report should be sent back to the classroom within around 15 minutes. The Originality report does not actually recommend changes. It does point out where you may need to add a citation or quotation marks (if not already cited). Once you use it a few times, you will appreciate this tool, as it will assist you in improving quality and content, as well as avoid plagiarism. Your goal is to keep direct quotations to a minimum and to make sure that you do not just cut and paste material. Ensure that all your references are cited. A report with a similarity index less than 25% is acceptable for undergraduate level work.

How do you use statistics in your work as a nurse or healthcare provider?

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Week 1. How do you use statistics in your work as a nurse or healthcare provider? Find and discuss at least two examples of how statistics are used in your field. Do you feel like statistics are a vital part of the nursing field? Why or why not?

Week 2. Multiple studies conducted in the United States, Canada, Germany, and the United Kingdom show that the probability of dying in the hospital is higher if you are admitted on the weekend. Why might this be? What factors might contribute to this probability?  What could hospitals do to reduce/eliminate this phenomenon

Describe what your function does and produce the output.

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Custom Function in R CT6 MIS476

Write a custom R function that inputs a temperature in Fahrenheit Fo and converts to Celsius Co. The relationship is Co = 5(Fo – 32)/9.

Write a custom R function that computes the sum of squares of two numbers.

Write a custom R function that takes any uni-variate data set and calculates the mean, minimum, maximum, and standard deviation.

In statistics, a data set needs to be transformed in order to meet certain assumptions.

Write a custom R function that takes any uni-variate data set and creates a histogram of the raw data set and a histogram of the log-transformed data set.

Write a custom R function of your own.  Describe what your function does and produce the output.
Using a Word document, include your all your functions along with least four different output results from each of the functions 1 through 5.

You may either copy and paste the codes and output results on a Word document or take the screen shots.

If you take the screen shots, make sure to show the current date.

Discuss how you will use estimation and conference intervals to help you solve the problem.

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Competency
In this project, you will demonstrate your mastery of the following competency:

Apply statistical techniques to address research problems
Perform hypothesis testing to address an authentic problem
Overview
In this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods.

Scenario
You have been hired by your regional real estate company to determine if your region’s housing prices and housing square footage are significantly different from those of the national market.

The regional sales director has three questions that they want to see addressed in the report:

Are housing prices in your regional market higher than the national market average?

Is the square footage for homes in your region different than the average square footage for homes in the national market?

For your region, what is the range of values for the 95% confidence interval of square footage for homes in your market?

You are given a real estate data set that has houses listed for every county in the United States.

In addition, you have been given national statistics and graphs that show the national averages for housing prices and square footage.

Your job is to analyze the data, complete the statistical analyses, and provide a report to the regional sales director.

You will do so by completing the Project Two Template located in the What to Submit area below.

Purpose: What was the purpose of your analysis, and what is your approach?
Define a random sample and two hypotheses (means) to analyze.

Sample: Define your sample. Take a random sample of 100 observations for your region.

Describe what is included in your sample (i.e., states, region, years or months).

Questions and type of test: For your selected sample, define two hypothesis questions and the appropriate type of test hypothesis for each. Address the following for each hypothesis:

Describe the population parameter for the variable you are analyzing.

Describe your hypothesis in your own words.

Describe the inference test you will use.

Identify the test statistic.

Level of confidence: Discuss how you will use estimation and conference intervals to help you solve the problem.

Summarize your sample data using appropriate graphical displays and summary statistics.

What calculations and other mathematical procedures do you need to do? e.g. drawing and/or data display constructions

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What calculations and other mathematical procedures do you need to do?
e.g. drawing and/or data display constructions

You might like to complete some of them in this space.

What is your solution to the problem?

Have you checked your calculations and other working are accurate?

You might like to complete some of them in this space.

Have you used both simple and complex subject matter to solve the problem?

Stage 3: Evaluate and verify

Prompting questions Your answers

What was the original issue, statement or question on the assessment task sheet?

Does your solution address all aspects of the task?

How do you know if your solution is reasonable?
(i.e. does it make sense?)

How have the assumptions and observations that you used affected your results?

Thinking about your assumptions and observations, what are the:
strengths (useful features) of your solution and/or model? (Why?) limitations (weaknesses) of your solution and/or model? (Why?)

Could your solution and/or model be improved? If so, how (think about the limitations)?

Prompting questions Your answers

How will you structure your response and communicate your findings?

You might like to use this space to plan and outline your response.What resources did you use?

Where did you source your data and any other information (observations) for your task?

How does Gross Domestic Product (GDP) affect currency exchange rates?

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Gross Domestic Product

How does Gross Domestic Product (GDP) affect currency exchange rates? One way to answer such a question is by using regression analysis. Complete the following:

Using R, create a scatter plot for GDP vs. US/EUR. Comment on the relationship.

Fit a linear regression model.

How good is the fit of the model from part c?

Describe how you can predict US/EUR exchange rate?

Copy and paste the R outputs into a Word document and label each section clearly. If you take a screen shot make sure that it shows the current date. Additionally, ensure you have answered all of the questions.

Which items from #1 did you use to decide on the least and most important attributes, and why?

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The major shopping areas in the community of Springdale include Springdale Mall, West Mall, and the downtown area on Main Street. A telephone survey has been conducted to identify strengths and weaknesses of these areas and to find out how they fit into the shopping activities of local residents.

The 150 respondents were also asked to provide information about themselves and their shopping habits. The data are provided in the file SHOPPING. The variables in the survey can be found in the file CODING.

We will concentrate on variables 18–25, which reflect how important each of eight different attributes is in the respondent’s selection of a shopping area.

Each of these variables has been measured on a scale of 1 (the attribute is not very important in choosing a shopping area) to 7 (the attribute is very important in choosing a shopping area).

The attributes being rated for importance are listed below. Examining the relative importance customers place on these attributes can help a manager “fine-tune” his or her shopping area to make it a more attractive place to shop.

Compute descriptive statistics for each variable along with an explanation of what the descriptive statistics tell us about the variable.

This will include the mean, mode, range, standard deviation, and the five-number summary (minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum). Be sure to show each calculation in your spreadsheet.

Are there any data points for any of the variables that can be considered outliers? If there are any outliers in any variable, list them and state for which variable they are an outlier. Use the z-score method to determine any outliers for this question. Be sure to show each z-score calculation in your spreadsheet for each variable.

Based on the results for question 1, which attributes seem to be the most important and the least important in respondents’ choice of a shopping area? Which items from #1 did you use to decide on the least and most important attributes, and why?

Determine the correlation coefficient between variable 19 and variables 21 – 25. Provide an explanation of these relationships. Show your calculations for each correlation coefficient within the spreadsheet.

Include a title page, introduction, body, conclusion, and a reference page.

The introduction should describe or summarize the topic or problem. It might discuss the general applications of the topic or it might introduce the unique terminology associated with the topic.

The body of your paper should address the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment.

The conclusion should summarize your thoughts about what you have determined from your analysis in completing the assignment. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs.

Why are you looking into this mathematical question and what results are you expecting?

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Probability in black jack looking at the probability of winning the hand depending on the number of decks

• Introduction – explains the aim of the exploration. Why are you looking into this mathematical question and what results are you expecting? Give a general description of how you are going about your explanation.

Make sure to include evidence of personal engagement, explaining why this topic is of personal interest to you.

• Main Body Paragraphs – the bulk of your marks. This is your mathematical exploration, finding an answer to the question you posed in your introduction. Graphs, tables, and diagrams should be included in this section and not attached as appendices.

Appendices should only be used to include large data sets or any additional figures that may not be strictly relevant to your research question.

How do you calculate the level of net working capital (NWC)? What is the value of NWC at the end of Year 0, 1, and 6?

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Canyon Buff’s

In this case study: (go into debt details with each question)

When calculating incremental unlevered net income, should we include all the expenses mentioned in the case? If not, what expenses should we exclude and why.

Is there a big jump of unlevered net income from Year 5 to Year 6? Why?

How do you calculate the level of net working capital (NWC)? What is the value of NWC at the end of Year 0, 1, and 6?

Explain how to generate a simple random sample of 20 employees out of the 85 total employees who are working at a candy bar factory.

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Explain how to generate a simple random sample of 20 employees out of the 85 total
employees who are working at a candy bar factory.

Explain how generating a simple random sample of 20 candy bars off the production line would be different than generating a simple random sample of 20 employees.

Explain why sampling without replacement is preferable to sampling with replacement

Provide an example of when you might want to take a systematic random sample
instead of a simple random sample, and explain what the advantages