How to Use Probability Distribution to Understand Your Data Critically
Is there any basis why probability distribution has to be talked about?
What are its uses in understanding data?
Can it show a sense of relevance according to one’s needs?
These are some of the questions that one has to ask in studying probability statistics.
Taking into consideration all of the questions above, it is better to have an overview of the use of histogram as this can directly answer them.
This histogram summarizes certain data. It must be taken note of that the primary function of the histogram is to show a summary of variation in measured data. One might wonder whether a certain curve comes from a distribution or from any other mathematical computation that approximates the histogram. The fundamental idea here is that this histogram fits a probability function. The curve made is an attempt to show probability distribution. Technical knowhow of probability is the core concept and even one of the critical building blocks in getting to more advanced analytics and machine learning.
Going deeper, it is better to understand some of the basic concepts:
DISCRETE DISTRIBUTION

Random Variables