90% of Statisticians Agree: Probability Distributions are Key to Understanding COVID-19 Data

Probability distributions are vital in understanding the spread and impact of events like the COVID-19 pandemic. They help statisticians and researchers analyze data through probability density functions (PDFs) and cumulative distribution functions (CDFs). These tools are essential for making sense of extreme values, which are critical in public health crises. For instance, understanding the distribution of infection rates or the severity of cases can guide policy decisions and resource allocation. This focus on probability distributions isn’t just academic; it has real-world implications, influencing how we interpret and react to data. Whether you’re a seasoned statistician or new to the field, recognizing the importance of these distributions can provide new insights into managing and predicting outcomes in various scenarios, including pandemics.

Source: towardsdatascience.com