Population Analytics Report

Anonymous
timer Asked: Jan 24th, 2019
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Question Description

**Use attached word document and add to it. Some work has been done in the previous unit.**

Prepare an analytics report of 8–10 pages. Your analytics report should contain the following:

Section I Business Question (or other appropriate heading)
  • Analyze the business question or problem.
    • Explain the business problem your analysis is attempting to address and how it will do so.
Section II Data Analysis Techniques and Methods
  • Summarize the methods you have selected to analyze the data.
    • Be sure to support your selections with examples from previous applications (experience) and your research. You must justify all of your techniques, including the descriptive and inferential techniques, but justifying and supporting descriptive techniques may be as simple as explaining why it is the most appropriate graph, chart, or summary method for your data.
Section III Descriptive Statistical Analysis
  • Using the data set you downloaded in Assessment 2, create 5 descriptive statistical techniques.
    • These may be graphs, charts, or numeric summaries but must be appropriate for the type of data and must assist in addressing the business question or problem.
    • Copy/paste the graphs, charts, or summaries from Excel into your document.
    • Remember that there are different options based on the data type (qualitative versus quantitative data) and that other considerations must be taken when choosing the appropriate descriptive techniques for a particular type of data.
Section IV Inferential Statistical Analysis
  • Use the data set you downloaded to complete one inferential statistical technique to estimate, test, or predict something using the inferential statistical methods you learned in this course.
    • The method you choose should be based on your work in Assessment 2.
    • Support your choice of method using prior analytic project experience and/or your own research.
    • Within this section include:
      • Assumptions: All assumptions required to use the technique you selected should be checked and explained (when there is no way to validate or check that the assumption is met). Any assumptions that may not be met should be included in your cautions and limitations of your analysis.
      • Results: Guidance on when, where, and with whom the results of your analysis should be used should be included in your generalizations section and should be based on the source of the data, data collection methods (if any are provided with your business scenario), and potential issues with how and when the data was collected, recorded, and so on.
      • Conclusions: Your conclusion should restate the business question or problem, identify the methods used (both descriptive and inferential methods), and summarize the results and findings (in business language).
      • Cautions, Limitations: Your cautions and limitations should include any potential issues or limitations in using your analysis due to the assumptions not being met or being minimally met.
      • Generalizations: Your generalizations should include notes about when and how the results of your analysis should and should not be used, specifically focusing on the contents of the data set you have analyzed.

Deliverable Format

The analytics report is a professional document and should therefore follow the corresponding MBA Academic and Professional Document Guidelines, using double-spaced paragraphs. Write for management or other analysts.

You must also include:

  • 8–10 pages in length, not including the title page, references page, or abstract.
  • Title page.
  • Abstract (optional).
  • References page.
  • At least 3 supporting resources.
  • APA-formatted references.
  • Appendices for graphs, charts, and summaries if you prefer, rather than including them in the text of your report.

Evaluation

By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies through corresponding scoring guide criteria:

  • Competency 1: Explain how data management techniques and tools are used to support business decisions.
    • Analyze the business question.
    • Explain the results of the analysis and how the analysis addresses the business question.
  • Competency 2: Use analytic and statistical techniques to make meaning of large quantities of data.
    • Summarize the descriptive and inferential statistical techniques used.
    • Create descriptive statistical techniques appropriate for the type of data used.
  • Competency 3: Apply data analytic techniques to make inference about a business need.
    • Complete inferential statistical techniques that are appropriate for the data used and address the business question.
    • Explain any assumptions, cautions, limitations, and generalizations.
  • Competency 4: Present the results of data analysis in clear and meaningful ways to multiple stakeholders.
    • Correctly format citations and references using current APA style.
    • Write content clearly and logically with correct use of grammar, punctuation, and mechanics.

Running Head: POPULATION ANALYTICS Population Analytics Name School 1 Population Analytics 2 Abstract This paper focuses on the analysis of the population characteristics that will bind the demographic engagement as well as economic development of the state of Texas. The study of the comparison and contrasting of this development is measured with the development and growth of New York State. Therefore, New York is used as a test statistic in this business project plan. In line with this argument, real estate business is the best business condition that can be used to configure the issue considerations of a successful business session. Ensuring a successful marketing and pricing strategy can be difficult. In real estate business, spatial analysis of the location, and economic status this will enhance the development proper analysis procedure for improved marketing. Common demographic characteristics that are considered include Literacy rate, Economic Status, Illiteracy rate, dependency ratio, Gross Domestic Product and sex ratio analysis for both Texas and New York. Keywords: [Sex ratio, Literacy rate, economic status, dependency ratio, GDP] Population Analytics 3 Real Estate Business in Texas The most critical consideration in the development of Real Estate business analysis is the population characteristics (Noe et al., 2016). To be able to solve the issue of housing and mortgage development in economic growth, there are different factors to consider. It includes the financial status of the population in the business location area. It is developed based on the demographic statistic that is obtained from the US Department of Economic Research. The combination of the different kinds of houses in Texas and the New York help in determining the average pricing mode depending on the economic level and status of the respective resident population. Business Problem The agility behinds determine the success of any business it's strategic management. It is difficult most of the time to deal with companies that have a static target audience. In this case, real estate business is the best business condition that can be used to configure the issue considerations of a successful business session. Ensuring a successful marketing and pricing strategy can be difficult. In real estate business, spatial analysis of the location, and economic status this will enhance the development proper analysis procedure for improved marketing. In this case, there is a consideration of real estate pricing model in Texas and New York (Neiger et al., 2016). It will enhance a proper house pricing criteria and best market pricing strategy for real estate businesses. To be able to come with this analysis, two randomly selected houses in Texas and New York are analyzed and their prices determined. It involves the price of house acquisition. Population Analytics 4 Data to be Used The data that is best to use for real estate marketing and pricing analysis is obtained from the population information and demography of Texas and New York. The spatial differentiation as well as economic and population diversity are contributing factors to the choice of these States for comparison and analysis. Analytic Inferential Method Over the last two years, Texas has experienced a population growth rate of 1.45% most of which is contributed to by permanent resident migration. It has resulted in a subsequent increase in demand for residential houses most of which are homes for nuclear family size. The nuclear families have a demographic description of average children per family of 1.7. It means that in every family, there are about two children. It makes the demand for residential houses to range between 2 bedroomed or more. It creates a perfect choice for Jane to have her property choice to have a minimum of 2-bedrooms. The Texas population has a median age of 53. It means that most of the people in this region are active in the job market and are earning a living. There median weekly income is at $1005 (Clough et al., 2014). The median weekly rent paid in this region is $345. And the average motor vehicle per dwelling is 2.1. It means that there will be a demand for packing space for 2 in every property. Jane has to make this consideration. Besides, most private properties are built in up-countries whereas rented and public parks are high in cities. Inferential Statistical Technique Some of the official statistics of the Texan population, as well as the New York population, include sex ratio, dependency ratio, child-woman ratio, economic status, and Population Analytics 5 literacy level. All these factors contribute significantly to the development of common interest of ability and ease of business investment and the creation of employment (Coon, 2015). Inferential Statistical Technique Justification The first property is a house in Dallas, Texas. It is a four-bedroomed house, and that is located in the up-country area with a large neighborhood. The home has distinct sections of basic house requirements such as the living room, the dining room, and spacious open space at the door entry. This house goes for $607,600. Below is a picture of the house: The second house to be considered is one in the city of New York. It is among a set of apartments within the periphery of the City. It is exceedingly accessible, and one could enjoy a calm natural environment. The house has a shared pool behind the apartments. It is a threebedroomed house with spacious rooms and windows (Hambrick et al., 2016). This property goes for $497,900. Below is a picture of the property: Population Analytics 6 The key objectives of this research are: I. II. To ascertain whether Texas is experiencing stable market prices. To find out whether Texas’s economy experiences a steady and sustainable economic growth. III. To determine whether Texas's population has either a high or low rate of unemployment. IV. To find out whether Texas has achieved a balanced payment distributed across gender. These objectives are aimed at the development consideration for which is based upon access to house acquisition (Coon, 2015). Factors that are most appropriate are developed on the basis that planning and marketing are best suited for are real estate. Population characteristics are the most statistical considerations for the marketing and pricing of houses. Therefore the data that will be looked include economic status. Population Analytics 7 References Clough, R. H., Sears, G. A., & Sears, S. K. (2014): Construction project management. John Wiley & Sons. Coon, M. (2015): Social media marketing: successful case studies of businesses using Facebook and Youtube with an in-depth look into the business use of Twitter. Unpublished manuscript MA thesis, Stanford University. Hambrick, M. E., Simmons, J. M., Greenhalgh, G. P., & Greenwell, T. C. (2016): Understanding professional athletes’ use of Twitter: A content analysis of athlete tweets. International Journal of Sports Communication, 3(4), 454-471. Neiger, B. L., Thackeray, R., Burton, S. H., Thackeray, C. R., & Reese, J. H. (2014): Use of Twitter among local health departments: an analysis of information sharing, engagement, and action. Journal of medical Internet research, 15(8), e177. Noe, R. A., Hollenbeck, J. R., Gerhart, B., & Wright, P. M. (2016): Human resource management: Gaining a competitive advantage.

Tutor Answer

EagleEye1
School: Cornell University

Your assignment is complete.

Running Head: POPULATION ANALYTICS

Population Analytics
Name
School

1

Population Analytics

2
Abstract

This paper focuses on the analysis of the population characteristics that will bind the
demographic engagement as well as economic development of the state of Texas. The study
of the comparison and contrasting of this development is measured with the development and
growth of New York State. Therefore, New York is used as a test statistic in this business
project plan. In line with this argument, real estate business is the best business condition that
can be used to configure the issue considerations of a successful business session. Ensuring a
successful marketing and pricing strategy can be difficult. In real estate business, spatial
analysis of the location and economic status enhances the development proper analysis
procedure for improved marketing. In addition, full range of services to facilitate the
purchasing and selling of real estate may include things like; home search database, mortgage
consulting and loan pre-approval, appraising, titles transfer as well as obtaining a
comparative market analysis for potential sellers.
However, in real estate business there can be gain or loss of income, but it all depends
on how the business prices the company’s property as well as its marketing. Thus, marketing
and pricing plays an important role when it comes to real estate business. On the other hand,
if the business finds good ways of marketing its business’s products and making sure that it
has favoured the potential customer, then it is likely to prosper in this field of real estate
business. Marketing and pricing plays a crucial business issue to be addressed in this report.
Common demographic characteristics that are considered include Literacy rate, Economic
Status, Illiteracy rate, dependency ratio, Gross Domestic Product and sex ratio analysis for
both Texas and New York.
Keywords: [Sex ratio, Literacy rate, economic status, dependency ratio, GDP]

Population Analytics

3
Real Estate Business in Texas

The most critical consideration in the development of Real Estate business analysis is
the population characteristics (Noe et al., 2016). To be able to solve the issue of housing and
mortgage development in economic growth, there are different factors to consider. It includes
the financial status of the population in the business location area. It is developed based on
the demographic statistic that is obtained from the US Department of Economic Research.
The combination of the different kinds of houses in Texas and the New York help in
determining the average pricing mode depending on the economic level and status of the
respective resident population.
Secondly, a real estate business has the highest percentage of growing since there is
an increase in Te...

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Anonymous
Thanks, good work

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