Complete Application Exercise Ae9 1 For Chapter 9 In The Tex
Complete Application Exercise Ae9 1 For Chapter 9 In The Textbook Loc
Complete Application Exercise AE9-1 for Chapter 9 in the textbook (located in the Application Exercises section at the back of the book). First, review p. 533 in the textbook and then complete the exercise using the Data Analytics Spreadsheet (MIS-602-RS-DataAnalyticsEX01.xlsx). Submit the assignment by posting your completed Excel spreadsheet. Identify your assignment by including your name in the filename (e.g., MIS-602-RS-DataAnalyticsEX01LastName.xlsx).
Paper For Above instruction
This assignment requires completing Application Exercise AE9-1 for Chapter 9 in the textbook. The exercise's instructions are located in the back of the textbook, specifically on page 533. The primary task involves analyzing data using the provided Data Analytics Spreadsheet, named MIS-602-RS-DataAnalyticsEX01.xlsx. To successfully complete this task, students should first review the relevant content on page 533 to understand the context and requirements of the exercise. After understanding the instructions, students are to manipulate and analyze the data within the provided Excel file according to the specifications outlined in the textbook. The final deliverable is the completed Excel spreadsheet, which must be submitted through the designated platform.
When submitting the assignment, students should ensure proper identification by including their name in the filename of the Excel file. For example, if the student's last name is Smith, the filename should be labeled MIS-602-RS-DataAnalyticsEX01Smith.xlsx. This naming convention facilitates easy identification and grading.
The purpose of this exercise is to apply data analytics techniques learned in the course to a realistic data set, fostering skills in data manipulation, analysis, interpretation, and reporting. It emphasizes the importance of accuracy, attention to detail, and proper documentation in data analysis tasks. Additionally, completing this exercise enhances students' proficiency with Excel as a primary tool for data analysis in a business context. As the exercise is based on a real-world scenario, it aligns with professional standards in data analytics, preparing students for practical applications in their careers.
Understanding the concepts on page 533 is vital because it provides guidance on how to approach the analysis, interpret the results, and derive meaningful insights. It may include instructions on generating reports, creating visualizations, or performing statistical analyses, which are crucial skills in the data analytics toolkit. Engaging thoroughly with this material ensures that students not only complete the assignment but also grasp the underlying principles necessary for more advanced analytics tasks.
In conclusion, students should carefully follow the textbook instructions, thoroughly analyze the data using the provided spreadsheet, and submit the final file with their name included in the filename. Doing so will demonstrate their ability to apply theoretical knowledge to practical data analysis exercises, a critical competency in the field of business analytics and data science.
References
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