yoy wont find a most commonly used fielf of statitics, as stats is a science within itself and various parts are used in various fields
Statistics is primarily a problem solving field of study and knowledge. Statisticians should have a drive and desire to solve mathematical and data problems, and should get satisfaction from working towards a solution. A good statistician should not feel beaten or defeated by a problem, even if it appears difficult - instead, they should rise to the challenge of coming up with the solution.
Statistics is also all about understanding and interpreting data. A good knowledge of mathematics is obviously essential, but statistics also requires strong communication skills in order to discuss data and any problems surrounding it. Statisticians usually work within a team, for example, with other statisticians, or as advisers to businesses, so they need to be able to communicate effectively with others within a professional environment. In addition, difficult problems require a team effort, and in order to fully understand the data at hand, communication may be essential.
Furthermore, statistics is about being knowledgeable in general. Statistics is not usually an isolated field - as I said above, statisticians usually work within businesses or companies. Therefore, they need a good knowledge base about the field in which they work, whether it be fashion, food, medicine or automobiles. Strong knowledge about your specific field allows a statistician to interpret data more accurately, and draw more reliable and applicable conclusions from the data in order to benefit the company or business.
Statisticians also work closely with computing technology, so should be well-versed an experienced in the latest data programming and organizing technology. Today, statisticians work with such vast amounts of data on such a regular basis that the role of computer technology cannot be ignored in the field of statistics. Statisticians should therefore be not only proficient, but confident, in using technology and software and applying it to particular sets of data.