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Statistics for the Non-Statistician by John Robinson





Article Author Biography
Statistics for the Non-Statistician by
Article Posted: 02/25/2014
Article Views: 100
Articles Written: 270
Word Count: 307
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Statistics for the Non-Statistician


 
Health
Statistics for the Non-Statistician

Statistics for the non-statistician –doesn’t this appear oxymoronic? It does, but scratch the surface a bit, and you will find that like math and English, statistics is also meant for the layman. It is not statisticians alone that require statistics. It is meant for the common man too.

For understanding processes

Why is this so? In the corporate context, the deeper the understanding of statistical tools and techniques from employees in an organization; the greater will be the improvements in the quality of a firm's process and product. When statistical analysis is not properly performed and/or understood by the employees, the organization runs the risk of producing a poor quality product, which will adversely undermine its ability to deliver a high quality product and impact its bottom line greatly, not to speak of the disrepute it brings to the firm.

Practice makes perfect

With constant practice, employees can attain perfection in statistics. All that they need are initiation, familiarity and some real-world example data sets. Employees need an understanding of the most common statistical tools and terms. They need to understand a. how to use statistics to properly trend data b. support the annual product review c. justify process changes d. set product specifications.

Which aspects of statistics do employees need to be familiar with?

Employees in an organization need to be able to make use of statistical software packages and understand the role of software in statistical analysis and statistical process control. Most importantly, they need to have the skills necessary to design a statistically sound sampling plan that helps them comply with FDA APR requirements. The result of this kind of familiarization is that organizations can perform their core functions and still be in alignment with statistical processes that are necessary for staying ahead of the competition.

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