I’m working on a writing discussion question and need support to help me learn.
Discussion 1:
1. List 5 key points of the speaker.
2. How do you think data will transform transform science and medicine?
Discussion 2:
1. List and summarize in your own words the three strategies of identifying data problems, as detailed in the chapter.
2. List a fourth way, in your own opinion, another strategy to avoid data problems. Why have you chosen this strategy?
3. Why is it vital to have solid, accurate data when analyzing data science problems?
4. Read your classmates’ responses and comment on their analysis of this issue.
Discussion 3:
What is meant by the vital phrase “Correlation is not equal to Causation”? Give an example of this.
Discussion 4:
What are outliers in data? Should you use them or get rid of them? Why or why not? Can outliers tell you anything about the population or sample?
