Throughout this term for the statistics class, Quantitative Reasoning and Scientific Thought, you have encountered a variety of ideas about scientific inference, experimental design, and statistical methods. For this week, you are viewing a TED talk (Meyer, Dan. TEDEd (2013).Math class needs a makeover.[Video]. Youtube, https://www.youtube.com/watch?v=qocAoN4jNwc) about math education. The primary goal of this course is increasing your quantitative literacy so that you can evaluate and use literature and other sources to guide your decision-making in the future. Given all that you have encountered this term, Focus your thoughts for this discussion to the following prompts: Fully cite all sources in-text and provide a reference section at the end.

1. Dan Meyer also presents a list of 5 suggestions to improve math education. What are your thoughts on his suggestions? As a student (think back to all of your math education), would you have liked or resisted these ideas? Would they have helped?
2. What practices might you use to continue improving your quantitative and scientific reasoning skills?
3. Explain how the key principles of BACI (Before-After-Control-Impact) and Bayesian framework logistical regression models, you learned in this class that have influenced the development of your 5-yr. ESA de-listing management plan for the Humpback Whales from the Mexico DPS? Explain.
4. Explain why analytical and thorough data collection and statistical analysis for marine science is the single most important concept/idea/takeaway you are carrying from this class as as a marine sciene major looking for a full time job in the field of marine science? How does learning R and RStudio programming help in being a successful marine scientist?