Category: Mathematics and Statistics

Presenting Statistical Results for Decision Making



Laurie Clarke. (2020, February 12). Report on AI in UK public sector: Some transparency on how government uses it to govern us would be nice. The Register.

You will be
required to summarise and analyse it with regards to:
the evidence and sources its key arguments are based on, 
the societal benefits and/or risks it raises, and
alignment with ethical technological design principles.

Ability to clearly describe in your own words the article’s content and
Ability to identify the key arguments and explain the underpinning
Ability to critically evaluate the arguments and evidence, using an
ethical technological design framework. 
Ability to appropriately cite and reference your sources.

submission should answer the following questions:
A. Who has written the article? Where has it been published? What is the
expertise/reputation of the publication venue? When was it published?
B. What is the article about? Summarise the key argument(s) in your own words 
C. What evidence (e.g. academic research, government report, company statement, etc.) is
referred to, described, and/or otherwise used to support the key argument(s)?
D. Where do you agree and where do you disagree with the key arguments? What evidence
supports your views?
2020  2
E. Which principle(s) of Beard & Longstaffs Ethical Design Framework are most relevant to
the issues discussed in this article? How does this framework help to evaluate the articles
key arguments?

Current and likely future impact of Coronavirus outbreak on the U.S stock markets

Spring 2019-20
Financial Institutions (FINA 3312)
Term Paper/Project Guidelines

It is a group work. Each group should not have more than two members. One can work individually without being in a group.

Font: 12 pt, Times New Roman; Margin: one inch from all sides, Page should be numbered. Cover page will not be numbered. Cover page will have names of all the members. Spacing: double spaced. No need for table of contents. Graphs and Tables must be nicely presented in the main body of the paper. Source data/graph should be mentioned.

Length: The paper should be approximately 15-page long including cover page and references. It may be little larger or smaller. I give more weight on quality than on quantity.

Plagiarism/cut and paste will not be allowed at all. If you want to use other authors ideas word for word, do it properly by putting those under quotations. Otherwise, write in your words. Do not use too many quotations because it will reduce your own input. I appreciate your effort.

References should be consistent. That is, only one type will be followed. You cannot mix various styles when giving references.

I will give you points based on cleanliness, originality, effort, depth of discussion, and format/organization.

You should have following sections/headings.
    Summary in the beginning (with about 150 words)
    There will be other headings/sections between introduction and conclusion. You will choose other headings based on your topic and the information you feel relevant. Headings should be appropriately numbered. You may give suggestion/recommendations, however it is not required.

Instructions/guidelines may change anytime depending on the situation.

Intermediate Algebra

A man has a box of coins that he uses when p;laying poker with friends.  The box currently contains 29 coins, consisting of pennies, dimes, and quarters.  The number of pennies is equal to the number of dimes, and the total value is $2.96.  How many of each denomination of coins does he have?  I need the number of each coins, the denomination (in dollars), and the value (in dollars).

destigmatization of mental health in the Black community

One page article review. from link below. The other pages brief bullet points addressing each section of provided attachment. at best 1-2 sentences per area.

Please review to see if you understand and are able to complete to specifications.

Any topic (writer’s choice)

A brief about me:-

I was an international student in the US, I studied abroad for six years and then worked there for a half a year after graduation,

I graduated with a bachelor’s degree in business administration concentrated in finance, took multiple different business courses throughout my time as a student, and I also worked as an international student assistant at the university. I volunteered and was member of the finance club at the university, and was member of the soccer club.

After graduation, I worked there as credit analyst in a loan company (financial service) for a while then returned back from abroad.

I currently work as an internal auditor in a bank.

Now, I am trying to pursue a master degree abroad in Europe and have a new beginning in different region, and interact with people from different various background. I’ve chosen a master in business analytics because I want to go into more the technical side of business. Information Systems
Data Science and Business Intelligence.

So, these questions are for the admission to the school i am applying for and hoping to get accepted.

I am fully occupied with work and personal things, I am hoping to find a good communicator and writer who can help.

Please let me know if you have any questions..

Here are the admission questions, I need at least one page for each.

Application essays are your opportunity to tell us more about yourself and detail your interests, values and goals. We are interested in what motivates you, evidence of leadership and team work, why you are looking to pursue a Master and what you will bring to the SCHOOL community. Essays are a vital part of your application and we recommend that you spend a significant amount of time in their preparation. They must be specific to the current application (400 words).

Please tell us your motivation for applying to this college Master in Business Analytics, including your interest for the college.

How do you envision your professional career ?

How will you contribute to the college Master in business analytics program ?

What matters most to you, and why ? Tell us the values and experiences that have shaped the person you are

5. Add any information you consider pertinent for the jury (not already detailed in the rest of your application)

Please let’s communicate.

Exponential function

Share a task personal or professional that could be modeled mathematically through your chosen topic. Explain how this might be used in making good decisions. Some examples might be:

Exponential growth or decline of money, population or path of a rocket
Logarithmic nature of sound intensity
Relationships that have limitations on the quantities

Bank Card Payments: Research Proposal, Designing Structure Equation Model

Dear Writers,

I would like to write my thesis (MSc in Finance) about “Bank card or mobile technology: which is the future of payment?”. (Revolut, Bank wallets, AliPay, WeChat Pay, fintech solutions, wallet payment; global/European trends, overview etc.)

It is obligatory for the thesis to contain some kind of “serious” mathematical analysis, also.

Before the university accepts my thesis topic, I have to present a short summary, containing what I plan to research in my thesis.

So what I am looking for now is: to Design Research Proposal, find out the Model I need to do empirical study by data or Questionnaire; design Structure Equation Model and some key variables, data. Financial institutions, actors of the market, national banks and statistical offices, World Bank… so there are enermous amount of information, data, statistics available about this topic. On the other hand, it would be nice to have some Chinese connection, because WeChat Pay, AliPay are so popular in China, but in Europe we still do not have these widespread solutions (but this Chinese linkage is not compulsory).

My professor recommended me to read academic papers, such as the paper attached, if I want to choose fintech topic.

If you have more questions, or these short guide was not enough, please contact me to avoid misunderstanding.

I also have second and third thesis topic opportunities, but this fintech topic would be my favourite.

Any topic (writer’s choice)

All companies keep databases of its customers. This assignment will be based on a financial credit providing company that has a database of information provided by its customers when they use their credit amounts. These customer records include information on the customers age, employment, other available credits etc. as shown in the database German credit. 

The company is interested in using these variables to predict credit loans for these applicants. The data set contains relevant information for 1,000 customers. This has been outsourced to a business analytics company. It will be your job as the analyst to develop a regression model to predict credit limits for new applicants.

The data are provided in the German credit Excel file 2 sheets:
1.    The Data;
2.    The Codelist with the data description.

As part of that business analytics team you are expected to produce a managerial report to answer the following questions:

1.    What type of variables are Duration and Credit History?

2.    Use methods of descriptive statistics to summarise the numerical variables. Provide an explanation of your findings.

3.    Produce a pivot table and bar chart for Employment comparing Credit Amount. Provide an explanation of your findings.

4.    Produce a pivot table and histogram for Age variable. Provide an explanation of your findings.

5.    Produce a pivot table and line graph showing the Credit Amount related to Age. Provide an explanation of your findings.

6.    Produce a correlation table for all numerical variables. Which variables do you think would have an impact on the provided Credit Amount? Provide an explanation of your findings.

7.    Add a dummy variable (REdummy) for the Real Estate variable and a dummy variable (ORdummy) for whether a customer owns residence. Use 1 for the Yes value and 0 for the No value. Please provide a picture of your data in the appendices to prove this has been completed.

8.    Develop a multiple regression model using Credit Amount as the dependent variable and Duration, Age, Number of credits and Number of dependents as independent variables. Discuss your findings.

9.    Now develop a multiple regression model using Credit Amount as the dependent variable and, REdummy and ORdummy as independent variables. Discuss your findings comparing these to the previous regression in question 8.

10.    Based on your analysis what conclusions and recommendations can you provide for the credit company?

a.    Is there another regression model that could be developed? Discuss?
b.    Are there any variables included that have no impact on predicting annual charges?

The managerial report should contain
    Abstract this should be brief no more than 100 words and answer the following question
o    What did I do in a nutshell?
o    What is the problem? no more than 150 words
    Literature Review
o    Whose work is related to mine? Find 3 pieces of literature that you can link to this topic no more than 300 words
o    How did I solve the problem? no more than 100 words
    Results & Discussion around 600 words for this section
o    What did I find out? describe the results
o    What do the results mean? interpret the results
o    Tables/graphs/figures are not included in the word count
o    This is where you answer questions 1-9
    Conclusion –  around 250 words for this section
o    Bringing everything together what does it all mean?
o    This is where you answer question 10
o    Whose work did I refer to?
o    Include 3 references above and also remember to include any textbooks that you may have used to help with analysis and interpretation.
o    Not included in word count
o    Extra information
o    Not included in word count

Any topic (writer’s choice)

The Hepatitis. arff Data set contains information about patients affected by Hepatitis. The task is to generate a classification model to predict Hepatitis histology: Yes/No.

Submit a report based on the answers for the following questions:

a)    Select a suitable decision tree model for predicting Histology.
–    Which model evaluation method did you use (CW, H-O)? Provide an overview of this model, why was it preferred? 
–    Interpret the classification outputs: the tree topology, the accuracy rates.   

b)    Provide a detailed description of the classification model:
–    The tree induction algorithm
–    The attributes selection criteria.
–    The pruning method

c)    Vary the model parameters and discuss the impact on the classification results:
–    Set the REP parameter (Reduced Error Pruning) to TRUE. Explain this tree pruning method. What impact has it made on the outputs, why?
–    Set the parameter unpruned to TRUE, Report and explain any change in the accuracy of results and in the tree structure.
–    Change the confidence factor to 15%, report the impact on the classification outputs, explaining the causes of change.

d)    Visualise the tree and Generate a set of rules along the subtree path: Varices – Ascites Spiders Bilirubin Sex Class No. If you were to generate association rules from the tree how could you reduce the number of rules (hint: speculate about Support and Confidence)?

e)    Perform predictions using two other classification models of your choice: e.g. ANN, SVM, Ensemble learner. Report on the accuracy metrics, discuss the superiority/inferiority of these models performance compared to the decision tree.

f)    Create ROC and Lift charts and interpret them.

error: Content is protected !!