The purpose of this assignment is to show how business decisions can be made by using rigorous decision-making techniques.Using specified data files, chapter example files, and templates from the “Topic 8 Student Data, Template, and Example Files” topic material, complete Chapter 6, Problems 2, 31 (part a), 32, and 33 from the textbook. Use Microsoft Excel to complete Problem 2. Use the Palisade DecisionTools software to complete Problems 31, 32, and 33, and ensure that all Palisade software output is included in your files. The Palisade DecisionTools Excel software needs to be used to create the decision trees.To receive full credit on the assignment, complete the following.Ensure that the Palisade software output is included with your submission.Ensure that Excel files include the associated cell functions and/or formulas if functions and/or formulas are used.Include a written response to all narrative questions presented in the problem by placing it in the associated Excel file.Place each problem in its own Excel file. Ensure that your first and last name are in your Excel file names.APA style is not required, but solid academic writing is expected.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion. Question 1-Betamax (or Beta) was a video recording format developed by Sony in the 1970s. Sony conducted research and found that consumers wanted a high-quality picture when using a Beta cassette with their home recording equipment. Sony developed the technology with video quality in mind and, as a consequence, limited the recording time to only 60 minutes.At the same time, JVC developed the Video Home System (VHS) but without much consumer research. JVC was more interested in developing a unified standard for broadcast operations. Consequently, they focused more on extending the recording time for their VHS cassettes at the expense of picture quality. In the end, the VHS format won by eventually squeezing the Beta format out of the market. Discuss the approaches these two companies took in the good decisions/good outcomes context. QUESTION 2-Suppose you received two job offers when looking for a job, one from Company A and one from Company B. To make a decision, what type of methodology would you use: probabilistic or nonprobabilistic? Whichever you choose, describe the items to consider and the decision rules you would use before deciding which job offer to accept.

Please work through the following tutorials located at the following locations: Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages, and makes importing and analyzing data much easier. Pandas builds on packages like NumPy and matplotlib to give you a single, convenient, place to do most of your data analysis and visualization work. In this python data science tutorial, you’ll use Pandas to analyze data on video game reviews from IGN, a popular video game review site. The data was scraped by Eric Grinstein, and can be found here. As you analyze the video game reviews, you’ll learn key Pandas concepts like indexing. Exercise 1 Link: https://www.dataquest.io/blog/pandas-python-tutorial/ You need basic Python knowledge for this tutorial. If you understand if-else statements, while and for loops, lists, and dictionaries, you’re set to make the most out of this tutorial. You also need a code editor like Visual Code Studio, PyCharm, or Atom. In addition, while we walk through every line of code so you never feel lost, knowing basic pandas would help. Check out our pandas tutorial if you need a refresher. Exercise 2 Link: https://www.dataquest.io/blog/regular-expressions-...