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Management Planning and Control, Business Intelligence and statistical analysis

Write 2 pages thesis on the topic course of master of science in management.

I am a critical thinker and fast learner. An MSc in management would help me get a job and possibly good remuneration. I believe that the knowledge and skills I will acquire from Merrick College will help me be in a better position to get more career opportunities. In addition, acquiring an MSc resonates with one of my values, which is to give others and myself the opportunity to develop.

&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp. I trust that my decision to study at your esteemed institution is one of the best decisions I have made in life. This is because of the best practices as well as reputation in the course and the entire organization. The university offers courses like Management Planning and Control, Business Intelligence and statistical analysis and many more. Moreover, I am interested in MSc management because it will give me an opportunity to understand more about the management function. I am extremely good at international management, decision making as well as global marketing. Therefore, this course will help me get the bigger picture of international management.&nbsp.

&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp. There are specific aspects that I am interested in while undertaking the MSc program. One of them is writing a good business proposal as this will help me face future clients with confidence, as I will be able to convince clients through my well-drafted business proposal. In addition, the incorporation of group work in the learning process will help me gain more confidence as participation is important. Moreover, the interactions during discussions will enhance my learning as students learn from one another. My professional network will grow therefore giving me an opportunity to find work in better organizations.

&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp. My undergraduate program has given me the adequate skills necessary for a master’s program. I am a committed member in various clubs including the management and leadership club that have grown my leadership skills. I am planning to work as I pursue my masters’ course and this will help me get experience in management.

&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp. I have both long and long term goals that I am working on. My long term goal after the completion of my master’s degree is to look for a job in China or look for in the United States to enable develop my career as well as be financially stable. On the other hand, my short-term goal is to work hard in school to ensure I graduate with the best grades.

&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp.&nbsp. I am confident and determined that the masters’ course in management is the right decision as it will help me accomplish my ambitions. I believe that I will have a competitive advantage as I pursue my masters’ program at Merrimack College. this is because the institution delivers and the students who graduate from the institution are highly competitive. The academic excellence and state of art technology provided by the institution help in achieving students’ goals and objectives. I intend to work hard and produce effective results and in the end, I will be marketable internationally

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opportunity to apply your knowledge for a real data set in order to understand the applicability of all the Statistical tools

For your Final Paper,  you will have the opportunity to apply your knowledge for a real data set in order to understand the applicability of all the Statistical tools learned in this course.

Attached is a dataset that lists estimates of the percentage of body fat determined by underwater weighing and various body circumference measurements for 252 men from K.W. Penrose, A.G. Nelson, A.G. Fisher, FACSM, Human Performance Research Center, Brigham Young University, Provo, Utah 84602 as listed in Medicine and Science in Sports and Exercise, vol. 17, no. 2, April 1985, p. 189.

Some experts claim BMI (Body Mass Index) as the most accurate and simple way to determine the effect of weight on your health. Meanwhile, in September 2000, the American Journal of Clinical Nutrition published a study showing that body-fat percentage may be a better measure of your risk of weight-related diseases than BMI.

An important question that arises is whether there is a relationship between ‘Body Fat Percentage’ and ‘Body Mass Index’ as a predictor.

Body Mass Index is defined as 

With the use of the statistical techniques used in this programme (especially simple linear regression), explain whether BMI can be used to explain the Body Fat percentage for an individual based on the dataset provided. Clearly explain and interpret your results.

  • Use introduction, body paragraph, and conclusion headings
  • Your paper should have 1,500 words maximum
  • At least 5 references of an academic or scholarly source are required for this paper.  You are expected to use academic sources in peer-reviewed databases or Internet sources, such as: “.org”, “.edu”, “.mil”, “.gov”, “.zm”  Sources not allowed are Dictionaries, wikis, or blogs.
  • Use APA, writing style for in-text citations, and each reference source that you use.  Remember, all wording that is not your own must be cited.
  • Limit the use of direct quotes. Direct quotes should not exceed 1/4 page in total.  Deductions will result if this rule is violated.
  • The cover sheet should include name and course information
  • Include a reference page in APA style

You can access the file by clicking the link below:

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how statistical techniques can solve business problems

Purpose of the assessment (with ULO Mapping) Students are required to show understanding of the principles and techniques of business research and statistical analysis taught in the course.
Weight 40% of the total assessments
Total Marks 40
Word limit N/A
Submission
Guidelines • All work must be submitted on Blackboard by the due date along with a completed Assignment Cover Page.
• The assignment must be in MS Word format only, no spacing, 12-pt Arial font and 2 cm margins on all four sides of your page with appropriate section headings and page numbers.
• Reference sources must be cited in the text of the report and listed appropriately at the end in a reference list using Harvard referencing style.
HI6007 STATISTICS FOR BUSINESS DECISIONS GROUP ASSIGNMENT
Assignment Specifications
Purpose:
This assignment aims at assessing students’ understanding of different qualitative and quantitative research methodologies and techniques. Other purposes are:

  1. Explain how statistical techniques can solve business problems
  2. Identify and evaluate valid statistical techniques in a given scenario to solve business problems
  3. Explain and justify the results of a statistical analysis in the context of critical reasoning for a business problem solving
  4. Apply statistical knowledge to summarize data graphically and statistically, either manually or via a computer package
  5. Justify and interpret statistical/analytical scenarios that best fit business solution
    Assignment Structure should be as the following:
    This is an applied assignment. Students have to show that they understand the principles and techniques taught in this course. Therefore, students are expected to show all the workings, and all problems must be completed in the format taught in class, the lecture notes or prescribed text book. Any problems not done in the prescribed format will not be marked, regardless of the ultimate correctness of the answer.
    (Note: The questions and the necessary data are provided under “Assignment and Due date” in the Blackboard.)
    Instructions:
    • Your assignment must be submitted in WORD format only.
    • When answering questions, wherever required, you should copy/cut and paste the Excel output (e.g., plots, regression output etc.) to show your working/output. Otherwise, you will not receive the allocated marks.
    • You are required to keep an electronic copy of your submitted assignment to re-submit, in case the original submission is failed and/or you are asked to resubmit.
    • Please check your Holmes email prior to reporting your assignment mark regularly for possible communications due to failure in your submission.
    Important Notice:
    All assignments submitted undergo plagiarism checking; if found to have cheated, all involving submissions would subject to penalties.
    Group Assignment Questions
    Assume your group is the team of data analytics in a renowned Australian company. The company offers their assistance to distinct group of clients including (not limited to), public listed companies, small businesses, educational institutions etc. Company has undertaken several data analysis projects and all the projects are based on multiple regression analysis.
    Based on the above assumption, you are required to.
  6. Develop a research question which can be addressed through multiple regression analysis. 2. Explain the target population and the expected sample size 3. Briefly describe the most appropriate sampling method.
  7. Create a data set (in excel) which satisfy the following conditions. (You are required to upload the data file separately).
    a. Minimum no of independent variables – 2 variables
    b. Minimum no of observations – 30 observations
    Note: You are required to provide information on whether you used primary or secondary data, data collection source etc.
  8. Perform descriptive statistical analysis and prepare a table with following descriptive measures for all the variables in your data set.
    Mean, median, mode, variance, standard deviation, skewness, kurtosis, coefficient of variation.
  9. Briefly comment on the descriptive statistics in the part (5) and explain the nature of the distribution of those variables.
  10. Derive suitable graph to represent the relationship between dependent variable and each independent variable in your data set.
    (ex: relationship between Y and X1, Y and X2 etc)
  11. Based on the data set, perform a regression analysis and correlation analysis, and answer the questions given below.
    a. Derive the multiple regression equation.
    b. Interpret the meaning of all the coefficients in the regression equation.
    c. Interpret the calculated coefficient of determination.
    d. At 5% significance level, test the overall model significance.
    e. At 5% significance level, assess the significance of independent variables in the model.
    f. Based on the correlation coefficients in the correlation output, assess the correlation between explanatory variables and check the possibility of multicollinearity.
    Marking criteria
    Marking criteria Weighting
    Developing a research question which can be addressed through multiple regression analysis. 5 marks
    Explaining the target population and the expected sample size
    4 marks
    Describing the most appropriate sampling method.
    4 marks
    Performing descriptive statistical analysis and review of the calculated values 4 marks
    Deriving suitable graph to represent the relationship between dependent variable and each independent variable in your data set. 4 marks
    Deriving multiple regression equation based on the regression output and interpretation of the regression coefficients
    6 marks
    Interpreting the calculated coefficient of determination.
    2 marks
    Assessing the overall model significance.
    4 marks
    Assessing the significance of independent variables in the model.
    3 marks
    Examining the correlation between explanatory variables and check the possibility of multicollinearity.
    4 marks
    TOTAL Weight 40 Marks
    Assessment Feedback to the Student:
    Marking Rubric
    Excellent Very Good Good Satisfactory Unsatisfactory
    Developing a research question which can be addressed through
    multiple regression analysis. Demonstration of outstanding knowledge on research question which can be solved with regression analysis. Demonstration of very good knowledge research question which can be solved with regression analysis. Demonstration of good knowledge on research question which can be solved with regression analysis. Demonstration of basic knowledge on research question which can be solved with regression analysis. Demonstration of poor knowledge on research question which can be solved with regression analysis.
    Explaining the target population and the
    expected sample size
    Demonstration of outstanding knowledge on identifying target population for a research and a suitable sample size.
    Demonstration of very good
    knowledge on identifying target population for a research and a suitable sample size.
    Demonstration of good knowledge on identifying target population for a research and a suitable sample size.
    Demonstration of basic knowledge on identifying target population for a research and a suitable sample size.
    Demonstration of poor knowledge on identifying target population for a research and a suitable sample size.
    Describing the most appropriate sampling method.
    Demonstration of outstanding knowledge on random and nonrandom sampling methods and selection of the best sampling method for a given case. Demonstration of very good knowledge random and non-random sampling methods and selection of the best sampling method for a given case. Demonstration of good knowledge on random and non-random sampling methods and selection of the best sampling method for a given case. Demonstration of basic knowledge on random and nonrandom sampling methods and selection of the best sampling method for a given case. Demonstration of poor knowledge on random and non-random sampling methods and selection of the best sampling method for a given case.
    Performing descriptive statistical analysis and
    review of the calculated
    values Demonstration of outstanding knowledge on descriptive
    measures
    Demonstration of very good
    knowledge on descriptive measures Demonstration of
    good knowledge on
    descriptive measures
    Demonstration of basic knowledge on
    descriptive measures
    Demonstration of poor knowledge on descriptive measures
    Deriving suitable graph to represent the relationship between variables Demonstration of outstanding knowledge on presentation of data using suitable chart types. Demonstration of very good
    knowledge on presentation of data using presentation of data using suitable chart types. Demonstration of good knowledge on presentation of data using suitable chart types. Demonstration of basic knowledge on presentation of data using suitable chart types. Demonstration of poor
    knowledge on presentation of
    data using suitable chart types.
    Deriving multiple regression equation based
    on the regression output.
    Demonstration of outstanding knowledge on regression model
    estimation and interpretation Demonstration of very good
    knowledge on regression model
    estimation and interpretation Demonstration of good knowledge on regression model estimation and interpretation Demonstration of basic knowledge on regression model
    estimation and interpretation Demonstration of poor knowledge on regression model estimation and interpretation
    Interpreting the calculated coefficient of
    determination.
    Demonstration of outstanding knowledge on coefficient of determination calculation and interpretation of relationship between variables Demonstration of very good knowledge on coefficient of determination calculation and interpretation of relationship between variables Demonstration of good knowledge on coefficient of determination calculation and interpretation of relationship between variables Demonstration of basic knowledge on coefficient of determination calculation and interpretation of relationship between variables Demonstration of poor knowledge on coefficient of determination calculation and interpretation of relationship between variables
    Assessing the overall model significance.
    Demonstration of outstanding knowledge on model significance Demonstration of very good knowledge on model
    significance Demonstration of good knowledge on model significance Demonstration of basic knowledge on model significance Demonstration of poor
    knowledge on model significance
    Assessing the significance of independent variables in the model.
    Demonstration of outstanding knowledge on significance of independent variables. Demonstration very good
    knowledge
    significance independent variables. of
    on of Demonstration of good knowledge on significance of independent variables. Demonstration of basic knowledge on significance of independent variables. Demonstration of poor knowledge on significance of independent variables.
    Examining the correlation between explanatory
    variables and check the possibility of
    multicollinearity.
    Demonstration of outstanding knowledge on correlation coefficient calculation, interpretation of relationship between variables and assessing multicollinearity. Demonstration very good knowledge on correlation coefficient calculation, interpretation relationship between
    variables and assessing multicollinearity. of
    of
    Demonstration of good knowledge correlation coefficient calculation, interpretation of
    relationship
    between variables and assessing multicollinearity. Demonstration of basic knowledge on correlation coefficient calculation, interpretation of
    relationship between
    variables and assessing multicollinearity. Demonstration of poor knowledge on correlation coefficient calculation, interpretation of relationship between variables and assessing multicollinearity.
    Academic Integrity
    Holmes Institute is committed to ensuring and upholding Academic Integrity, as Academic Integrity is integral to maintaining academic quality and the reputation of Holmes’ graduates. Accordingly, all assessment tasks need to comply with academic integrity guidelines. Table 1 identifies the six categories of Academic Integrity breaches. If you have any questions about Academic Integrity issues related to your assessment tasks, please consult your lecturer or tutor for relevant referencing guidelines and support resources. Many of these resources can also be found through the Study Sills link on Blackboard.
    Academic Integrity breaches are a serious offence punishable by penalties that may range from deduction of marks, failure of the assessment task or unit involved, suspension of course enrolment, or cancellation of course enrolment.
    Table 1: Six categories of Academic Integrity breaches
    Plagiarism Reproducing the work of someone else without attribution. When a student submits their own work on multiple occasions this is known as self-plagiarism.
    Collusion Working with one or more other individuals to complete an assignment, in a way that is not authorised.
    Copying Reproducing and submitting the work of another student, with or without their knowledge. If a student fails to take reasonable precautions to prevent their own original work from being copied, this may also be considered an offence.
    Impersonation Falsely presenting oneself, or engaging someone else to present as oneself, in an in-person examination.
    Contract cheating Contracting a third party to complete an assessment task, generally in exchange for money or other manner of payment.
    Data fabrication and falsification Manipulating or inventing data with the intent of supporting false conclusions, including manipulating images.
    Source: INQAAHE, 2020

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statistical data on nosocomial diseases

Applications of Epidemiology – A Case Study: The situation at Good Health Hospital has become a bit overwhelming ever since the outbreak of E. coli in Ward 10 on the second floor. It appears that there are six (6) cases of the disease. To better understand the situation, communication with the CDC has revealed that this particular bacterium can be found in many everyday items. The CDC recommends that investigation begins in the hospital kitchens, since E. coli can be transmitted via contaminated vegetables, as well as delicatessen meats such as salami and other cold cuts. The following table shows the number of cases identified so far:
Case Age Gender
1 23 M
2 21 F
3 15 M
4 42 F

After meeting yesterday with chief administrator Joe Wellborn, it has been decided that the litigation issues with one (1) of the patients may need further information to determine if the patient was already symptomatic with the bacteria prior to admission.

Research has indicated that hospitals operating in the Tampa Bay area have been known to have cases of E. coli contamination. This substantiates the need for further investigations by the County Health Department.

Due to the severity of the cases, and the potential for further spread, it is recommended that the hospital seek alternate vending services since the present suppliers cannot verify sanitation protocols for their products.

In conclusion, the study done at Good Health Hospital has indicated that the E. coli outbreak was in fact caused by spoil food from the cafeteria.

As a social science researcher working for a regional hospital, you are placed in charge of contacting the DOH from your home state, as well as the CDC for statistical data on nosocomial diseases that frequently cause illness at your health care facility. Using information from both agencies, evaluate the data on common nosocomial diseases and compile a treatment contingency plan for dealing with the hospital infections.

Write a five to six (5-6) page evaluation report in which you:

Analyze Good Health Hospital’s records and itemize recent nosocomial infections that occurred within the past year. In your report, categorize the different parameters (i.e., person, time, place, ethnicity, and gender) used in the compilation of data into the information summative.
Propose at least six (6) questions for the health care administrator at Good Health Hospital, regarding potential litigation issues with infections from the nosocomial diseases. Rationalize, in your report, the logic behind your six (6) questions.
Identify a targeted audience within Good Health Hospital, and prepare an implementation plan based on your hypothetical meeting with the hospital health care administrator. Propose four (4) steps that will be useful in the final implementation plan.
Suggest at least five (5) recommendations to your department head based on the steps taken in the implementation plan. Provide rationale for your suggestions.
Using these approved recommendations, design a safety protocol itinerary that must be placed in public access areas of the hospital.
Use at least four (5) PEER_REVIEWED academic resources in this assignment. These must come from journal sources. Note: Fact Sheets, Wikipedia, and non-academic Websites do not qualify as academic resources.

Your assignment must follow these formatting requirements:

Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.
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

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Escherichia coli (E. coli) is a bacteria found in the intestine of health animals and people, but a time it causes havoc to the public if ferocious strain such as E. coli O15:H7 gain the entry into the intestinal track. This strain causes vomiting, bloody diarrhea and abdominal cramps thus raising concern in the public health(Schneider, 2009). Nonetheless, there several strains of E. coli which are harmless and causes mild diarrhea. Studies have shown that people get exposed to E. coli through undercooked ground meat, raw vegetables and contaminated food and drinks. Children and elderly people exposed to E. coli O157:H7 may develop life threatening complication such as kidney failure clinical term refers to hemolytic uremic syndrome (HUS), but adults can recover within a week.

            The case of E. coli reported in health care facilities and hospitals originate from food served to patients while undergoing treatment in the facility and meat bought in the cafeteria(Friis, & Sellers, 2014). As a social science researcher at Good Health Hospital tasked with the responsibility of investigating the outbreak of nosocomial disease in Good Health Hospital in the past one year, the objective is to conduct Center of Disease Control (CDC) and Department of Health (DOH), regarding the recent incidents of nosocomial disease and develop a plan to prevent further spread and future outbreaks.

Infections outbreak at Good Health Hospital

            Recently, patients receiving treatment…………………………………………………………………………………………………………………………………………………………………………………………………………………………………. ………………………………………………………………………………………………………………………………………………………………………………………………………………………………….

……………………………………………………………………….statistical data on nosocomial diseases…………………………………………………………………………………………………………………………………………………………

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