Topic 1: Analytics Follies
You should learn from your mistakes, but you should learn from the mistakes of others as well. Often, the latter is preferable, since you do not have to suffer the consequences of someone else’s mistake, even as you learn from it. In this unit, you are examining the role of power analysis in data analytics. For this discussion, you will consider ways that power analysis, or a failure to conduct power analysis, can lead to negative consequences for data analytics activities. Complete the following:
List and discuss at least two factors that could lead to error in statistical analysis. These should be general, and there are many to choose from.
Find an example from real life where data analysis failed, and resulted in negative consequences. Summarize the example and ensure you point out the consequences for the class. Make sure to cite your sources.
Based on your selected example, offer at least one suggestion of how the issue might have been avoided or better handled.
Read and respond to at least two of your peers’ posts, focusing on elements that can derail analytics activities.