https://nytimes.com/2020/04/03/upshot/coronavirus-jobless-rate-great-depression.html

Statistics on unemployment have been utilized to demonstrate this week's data analysis lesson. Millions of people have sought for unemployment benefits as a result of Covid-19, leads to the increase in unemployment and a quick shift in the labor market. Each week, the Bureau of Labor Statistics reports that around six million new workers are hired. According to this estimate, around sixteen million people remain jobless, and the unemployment rate has risen to approximately 13%. The current unemployment rate, according to this statistical study, is almost as high as it was during the Great Depression. This data analysis may assist us in making judgments about the likelihood of obtaining work during the crisis. It is critical to understand the likelihood of getting work in order to prepare ahead for one's own and family's support. Additionally, it assists company owners in determining their next course of action or backup plan in light of the rising unemployment rate. If I found this informationin an up-to-date publication, the outcome of my study on my patients or staff may have been different. Journal articles are more credible since they are supported by evidence, and I would utilize this source to provide treatment and care to my patients.

Which type of probability is being referenced here (i.e. 13%)? How did they come up with that number?

Theoretical, Experimental, or Subjective