During this course, you will analyze data, develop your own hypothesis, test it, and write a structured APA report using the dataset provided below. The project will be based on conducting an independent analysis of an adequately set-up database.Here's what you will do each week to accomplish your goals:Week 1: You will derive analytical results that describe the characteristics of the data—discrete and continuous.Week 2: You will derive analytical results based on continuous variables and compute the mean, median, variance, standard deviation, and range.Week 3: You will derive analytical results based on dichotomous variables.Week 4: You will derive analytical results and formulate three different hypotheses to test.Week 5: You will derive analytical findings based on a single continuous variable.Week 6: You will provide a summary of the empirical analyses you conducted during the course of the past five weeks in terms of the specific insights you gained.Your final project entails systematic extraction of decision-aiding insights out of a dataset (SampleDataSet.xlsx) provided to you in the Doc Sharing area. This project will provide you with hands-on experience in conducting and interpreting different types of function-wise statistical analysis. The focus of your analysis will be on marketing strategies and analysis-related topics. At times, you will be expected to conduct additional research on topics that are not adequately covered in your text, for example, data due diligence.The first step in any data analytical undertaking is to conduct basic data due diligence, the focus of which is on assessing the scope and limitations of your data. This is an important step as virtually all business data contains some degree of imperfection, such as missing values, miscoded variables, or nonsensical values (such as a person being five hundred years old). Beyond looking for flaws in data, data due diligence also entails describing the basic characteristics of data, such as the number of variables, number of cases, ranges of values of individual variables, variable types, etc.This week, as the first step in your data analytical project, you will put together a step-by-step outline of the data due diligence process that you would follow and provide a rationale for each step in your process. Submit your response in a 2- to 3-page Microsoft Word document to the W1: Assignment 4 Dropbox by Saturday, October 12, 2013.Name your document SU_MBA5008_W1_A4_Johnson_D.doc.

From the e-Activity research you gathered, analyze how you, as the Chief Financial Officer (CFO) of a “big box store” that has potential pollution, environmental-disposal, or demolition problems, would handle these costs in your financial statements and communicate this proposed plan to your colleagues on the management team. Indicate how any resistance would be overcome. Support your stance with the information that you obtained through your research.Recommend the advantages and disadvantages of recording the above-referenced costs in the financial statements and how this might alter the company’s public image.

Introduction of what you are doingPeer ReviewsStudents #1 Peer Review Student # 2 answers questions about Students #1 Papera.    Was this a disruptive innovation? Why or Why not?b.    Explain what type of intellectual capital protection this innovation might require.c.    Explain what creative thinking process was applied.d. Explain what type(s) of technology might be used to support this innovation.e.    Describe how the success of the innovation will be measured.150 words-will message the attachmentAttachment of paper will follow-