In the last assessment, you were asked to prepare the first part of your analytics report by creating graphs and calculating some descriptive statistics. In this assessment, you will write your 6-8 page analytics report by interpreting those graphs and statistics, and explicitly connecting those interpretations to implications in the practical business context.
The first step in creating meaningful information from raw data is to represent the data effectively in graphical format and to calculate any required statistics. The second step is interpreting and explaining those graphs and statistics in order to apply them in the business context.
In the previous assessment, you were asked to create the first part of your analytics report by preparing graphs and calculating some descriptive statistics. In this assessment, you will complete your analytics report by interpreting those graphs and statistics, and connecting those interpretations explicitly to implications in the business context.
In business and applied analytics, oftentimes you are interested in drawing conclusions about a population of interest. However, it may not be feasible or practical to gather data on the entire population. In those cases, data is gathered from a sample or subset of the population. Analyses done on the sample are then used to draw inferences regarding the overall population; this mathematic process is referred to as inferential statistics. In this assessment, we begin discussing the topics of sampling and drawing inferences.
All the inferential statistical techniques and methods covered in this course are considered parametric techniques and require certain assumptions to be used and for the results to be reliable, many of which are assumptions about an underlying distribution. Nonparametric techniques require no assumption about underlying distributions and are often used when the assumptions of parametric techniques are not met. Although these are beyond the scope of this introductory course, they are a great option for additional reading and research.
Analytics projects often result in two distinct types of reports or summaries: one tailored to the executive level, which takes the form of a presentation, and the other, a detailed analytics report, which documents an analysis so thoroughly that another analyst can reproduce the analysis exactly. Many times, the latter type is referred to by other departments or analysts wishing to conduct a similar analysis on similar data or by the same analyst who wants to repeat the analysis on a new or revised set of data. In this assessment, you will learn the essential elements that should be included in a report at this level of detail and you will create your own analytics report addressing the business problem you have been working on.
Your supervisor has asked you to prepare a report for the quarterly company meeting. The first part of the task was to download the data and create scatterplots and histograms, and to calculate mean, median, and mode of the stock prices that you presented graphically in your report for the last assessment. This time your task is to analyze and interpret those graphical representations of the company stocks and to write a report about your findings for your supervisor.
You are an analyst in the same business that you used for the last assessment. Your role is to turn data into meaningful information through the use of descriptive statistics and analysis.
After reviewing and integrating your instructor’s feedback on your previous assessment, complete the report as follows:
Example Assessment: You may use the following to give you an idea of what a Proficient or higher rating on the scoring guide would look like:
By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies through corresponding scoring guide criteria:
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