[2/2] How to Lie with Statistics (How to Lie with Statistics)
Continue. first-postLet me tell you about the last chapter.How to Put Statistics in Place", which is the culmination of a book where the author gives questions worth asking when you see arguments based on statistics:" - Who says that? (Pay attention to data bias) - How does he know that? (Pay attention to the procedure for data collection and analysis) Has the object of the study been replaced? (For myself, I associated this with the validation of the chain Goal - Signal - Metric that mentioned postMeasuring Engineering Productivity") - Does that make sense? (The magic of numbers should not distract you from the question of finding meaning in your arguments and statistics.)
On the subject of statistics, I recommend reading more books:
- Understanding Statistics and Experimental Design. How to Not Lie With Statistics (Statistics and Experiment Planning for the Uninitiated)
- Confidential a/b testing (Trustworthy Online Controlled Experiments) They are more complex than this book and contain formulas, but they allow you to understand it in more detail, and the book on trust a / b testing also allows you to understand how to make a platform for conducting experiments at the company level.
#Math #Statistics #PopularScience #Science #Data