Final Paper The final paper provides you with an opportunity to integrate and reflect on what you have learned during the class. The question to address is: “What have you learned about statistics?†In developing your responses, consider - at a minimum - and discuss the application of each of the course elements in analyzing and making decisions about data (counts and/or measurements). The course elements include: Descriptive statistics Inferential statistics Hypothesis development and testing Selection of appropriate statistical tests Evaluating statistical results. Writing the Final Paper The Final Paper: Must be three to- five double-spaced pages in length, and formatted according to APA style as outlined in the Ashford Writing Center. Must include a title page with the following: Title of paper Student- name Course name and number Instructor- name Date submitted Must begin with an introductory paragraph that has a succinct thesis statement. Must address the topic of the paper with critical thought. Must end with a conclusion that reaffirms your thesis. Must use at least three scholarly sources, in addition to the text. Must document all sources in APA style, as outlined in the Ashford Writing Center. Must include a separate reference page, formatted according to APA style as outlined in the Ashford Writing Center. Instructor Tip: I would like to see a discussion of each of the major statistical techniques learned in this course. In your own words, please discuss the following for each statistical technique: The final paper often provides a nice boost to the course grade, if done properly. It is very important to me to see a discussion in your own words about this course. I would prefer to see as few references as possible to outside sources or even to materials used in the course. Lengthy references will reduce the final grade because I would like to see as much of the final paper as possible written by you in your own words. 1) What the technique is used for? 2) Describe the necessary sample(s) needed for that technique 3) When might you or your company use such a technique? Those who can accurately answer this question for each major technique will probably receive an excellent grade for this paper. Those who are not able to answer this question sufficiently would not likely receive an A grade on this final paper. I consider an understanding when these techniques should be applied to be one of the major learning objectives for this course. 4) How would you interpret the Excel output (recall the p Value course note) and what decision would be made based upon the Excel output for that technique? As mentioned, please articulate the answers to these questions in your own words and not with quotes from the text, instructor guidance, or other sources. If possible, please stick to a discussion of the above four questions. If you don’t mind, please try not to add information not directly related to the answers of those four questions or what is asked of by the assignment. Those who can write on-point with brevity and clarity are my heroes! One minor note on formatting - I usually reformat the text in Word documents to 14-point Verdana, which seems to be the most readable font/font size for my not-what-they-used-to-be eyeballs. This memo was written in 14-point Verdana. If you wouldn’t mind, please briefly try that conversion to make sure that there are no unusual formatting issues. The paper, of course, should be submitted in the required APA formatting. If you can answer the above four questions correctly and with clarity, you should get a well-deserved, excellent grade for the final paper. Final Paper The final paper provides you with an opportunity to integrate and reflect on what you have learned during the class. The question to address is: “What have you learned about statistics?†In developing your responses, consider - at a minimum - and discuss the application of each of the course elements in analyzing and making decisions about data (counts and/or measurements). The course elements include: • Descriptive statistics • Inferential statistics • Hypothesis development and testing • Selection of appropriate statistical tests • Evaluating statistical results. Writing the Final Paper The Final Paper: