In this discussion, you will share your thoughts and reactions to the weeks readings by engaging in conversation around a set of prompts. You should discuss at least 2 of the prompts in a meaningful way and contribute at least 3 total posts. You may also discuss any general thoughts or questions about this weeks reading and assignments. As this discussion is intended to be a conversation, try to write posts that respond to others as well as contribute new ideas.
Some general guidelines for online discussion forum netiquette (Links to an external site.) from Peter Connor can be found here. The prompts for this week are as follows:
Other than the examples in the reading, what are some examples of a statistical study that should be retrospective rather than an experiment?
Refer to the Student Course Evaluation Surveys at LBC | Capital video you watched earlier this week (under Should You Believe a Statistical Study?). Based on the 8 guidelines in your reading (Unit 5B) and the context provided in the video, evaluate the current student course evaluation survey process at LBC | Capital. What are the problems, and what improvements would you propose?
What is the difference between a graph that is deceptive and a graph that lies? Are there any other contexts, perhaps non-mathematical, in which you would make this same distinction?
Is there any value in using graphs that are misleading, for example, those shown in Figures 5.19-5.23 in Unit 5D?
What is a real-life example of a situation in which you observe a correlation but not causality?
Link below
https://tilt.colostate.edu/TipsAndGuides/Tip/128