Statistics and Scientific Research

All measurements contain some uncertainty and error, and statistical methods help us quantify and characterize this uncertainty. This helps explain why scientists often speak in qualified statements. For example, no seismologist who studies earthquakes would be willing to tell you exactly when an earthquake is going to occur; instead, the U.S. Geological Survey issues statements like this, “There is … a 71% probability of at least one magnitude 5.7 or greater earthquake in the 3-decade interval 2003-2022 within the San Francisco Bay Region” (USGS, 2007). This may sound ambiguous, but it is in fact a very precise, mathematically-derived description of how confident seismologists are that a major earthquake will occur, and open reporting of error and uncertainty is a hallmark of quality scientific research.

Today, science and statistical analysis have become so intertwined that many scientific disciplines have developed their own subsets of statistical techniques and terminology. For example, the field of business involves the application of specific statistical techniques to disciplines in business world such as regression models, alternative approaches in inference, or confidence interval. The field of quantitative methods of business has evolved to develop specialized spatial analysis techniques that help business scale of the probability how to maximize profit; these spatial analysis techniques have also helped Starbuck’s® determine the ideal distribution of coffee shops based on maximizing the number of customers visiting each store. Used correctly, statistical analysis goes well beyond finding the next profit or cup of coffee to illuminating scientific data in a way that helps validate scientific knowledge.


Ema Rosyidah Ansori

Sekolah Tinggi Ilmu Ekonomi Indonesia


About lukmanforindonesia
My name Lukman Hakim I am Indonesian.... Just THINK POSITIVELY everyday and see what will happen.....

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