Business analytics techniques are used to facilitate decision making by transforming large amounts of raw data into meaningful information. Many businesses rely on analysis of relevant historical data to make key strategic and operational decisions. Therefore, understanding how to use techniques such as graphical representation and descriptive statistics to translate raw data into useful information can be a valuable skill in an organization.<\/p>\n
In this assessment and the next, you will have the opportunity to sharpen your analytics skills by locating and interpreting real-life stock data. <\/span><\/p>\n You have been learning about how to explore data. In this assessment, you will apply those skills by downloading a practical dataset and creating graphical representations of that data. The work you do in this assessment will lay the foundation for future assessments in which you analyze and interpret those graphical representations. Since the purpose of business analytics is to make sense of large quantities of raw data, this assessment helps you develop skills in applying analytics to business contexts by practicing the exploration and display of data.<\/p>\n In addition to graphical and tabular summary methods, numeric or <\/span>quantitative <\/span><\/em>variables and data can be summarized numerically using various techniques of description and display.<\/p>\n Descriptive methods<\/em>, which describe existing data, are also methods for using a subset of the available data to estimate or test a theory about a measurement on a larger group. This larger group is called the <\/span>population<\/em>, and the measurement being studied is the <\/span>parameter<\/em>. The smaller group, or subset, of the population that is taken in order to make an inference (to make an estimate or test a theory) is referred to as the <\/span>sample.<\/em> <\/span>The measurement taken on that sample is then referred to as the <\/span>statistic<\/em>, which is usually the best single-number estimate for the population parameter of interest. Most often, however, the estimate should not be restricted to a single number that would be exactly correct or incorrect. Instead, it is preferable to calculate some range of possible values between which there can be a certain percent confidence that the true population parameter falls. These are referred to as <\/span>confidence intervals.<\/em><\/p>\n Business analytics techniques are used to facilitate decision making by transforming large amounts of raw data into meaningful information. Many businesses rely on analysis of relevant historical data to make key strategic and operational decisions with the goal of gaining or maintaining competitive advantage. Therefore, understanding how to use techniques such as graphical representation and descriptive statistics to translate raw data into useful information can be a valuable skill in an organization.<\/p>\n In this assessment and the next, you will have the opportunity to sharpen your analytics skills by locating and interpreting real-life stock data, creating a business report, and presenting the information from the business report with your supervisor and colleagues as part of a decision-making effort.<\/p>\n You are a member of a business analyst group interested in a publicly traded company. Your supervisor has asked you to create a presentation, including graphical representations from raw stock data. From that raw stock data, you are to create a business report for a company-wide meeting at the end of the quarter. Your work and the work of others will result in a Business Report, which will be utilized to help company leadership make decisions.<\/p>\n Your first task is to pick a publicly held company with only one business platform. So do not pick Apple, Amazon, Disney, et cetera. You want a company that plays in only one industry. Then you are to provide an overview of the company, including business context. Remember that business context includes many aspects of the company, industry, competition, et cetera.<\/p>\n The second task is prepping stock history data from the business or company and creating scatter plots and a histograms. <\/span><\/p>\n The third task is to calculate mean, median, mode, and standard deviation of the adjusted daily closing stock price and the stock volume.<\/p>\n The fourth task is to provide a summary of the information you provide (including data analysis) without bias and with factual information including citations.<\/p>\n It is your responsibility to present visually and to interpret the data into meaningful information using analysis and descriptive statistics.<\/p>\n Select a publicly traded business or stock that plays in only one industry in which you have interest. Download the raw data on the company’s stock history.<\/p>\n Follow these steps to locate and download stock history from Yahoo! Finance:<\/p>\nScenario<\/h4>\n
Your Role<\/h4>\n
Instructions<\/h4>\n