Читать книгу Becoming a Data Head - Alex J. Gutman - Страница 57

1 ¹ There are additional levels of continuous data, called ratio and interval. Feel free to look them up, but we rarely see the terms used in a business setting. And there are situations when the distinction between continuous and count data doesn't really matter. High count numbers, like website visits, are often considered continuous for the purpose of data analysis rather than count. It's when the count data is near zero that the distinction really matters. We'll explore this more in the coming chapters.

2 ² Here's a quick example of confounding. In a drug trial, if the treatment group consists of only children and no one got sick, you'd be left wondering if their protection from the disease was caused by an effective drug treatment or because children had some inherent protection from the disease. The effect of the drug would be confounded with age. Random assignment between the control and treatment groups prevents this.

3 ³ “Data Is” vs. “Data Are”: fivethirtyeight.com/features/data-is-vs-data-are