Statistics has changed over the last decades from being a discipline that primarily studied ways to characterize randomness and variation to a discipline that emphasizes the importance of data in the explanation of phenomenon and in problem solving. While statisticians routinely use mathematics and computer programming languages as key tools in their work, they usually also function as an important data-driven decision maker within their application domain. Consequently, a statistician must have a genuine curiosity about the subject domain they work within, and furthermore, must have strong collaborative and communication skills in order successfully interact with the many colleagues they will encounter and rely on for information.

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Careers in Statistics

  • Daniel R. Jeske,
  • Janet Myhre

摘要

Statistics has changed over the last decades from being a discipline that primarily studied ways to characterize randomness and variation to a discipline that emphasizes the importance of data in the explanation of phenomenon and in problem solving. While statisticians routinely use mathematics and computer programming languages as key tools in their work, they usually also function as an important data-driven decision maker within their application domain. Consequently, a statistician must have a genuine curiosity about the subject domain they work within, and furthermore, must have strong collaborative and communication skills in order successfully interact with the many colleagues they will encounter and rely on for information.