Biotech companies are among the most intensive instrumentation users of any FDA-regulated business. Because of the complex nature of these companies' research and manufacturing, they typically have a larger number of instruments per employee.
The biotechnology and pharmaceutical industries have some overriding concerns, namely regulatory and compliance issues, insufficient manufacturing capacity, and the economic challenges of producing niche drugs and therapies.
When analyzing data, you will sometimes find one value that is far from the others. Such a value is called an outlier. When you encounter an outlier, you may be tempted to delete it from the analysis. Assuming that the data point is not attributable to obvious experimental mistakes, do you keep it or delete it?