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During this course, you will analyze data, develop your own hypothesis, test it, and write a structured APA report using the dataset provided below.
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 Tuesday, December 3, 2013.
