Sentence examples for interpret your data from inspiring English sources
You can overcome confirmation bias by using more quantitative data than qualitative data, or by hiring an objective analyst to handle and interpret your data.
If only you could interpret your data properly, like an explorer deciphering an ancient scroll, you'd be able to unearth these precious business secrets.
That way even if a hacker breaks into, steals, or destroys your computer, they can't interpret your data, and your network of friends still have 999,999 backups of your files.
In point of fact, breaking down your experimental designs into smaller steps with yes/no outcomes will strengthen most of your experimental paradigms and allow you to interpret your data accurately.
Highlighting your previous findings and discussing how you will interpret your data, therefore, "provides an indication of '[your] critical thinking and grasp of logic" and are crucial to grantwriting (and funding!) success.
Depending on which procedure you use to analyze and interpret your data, you can either, as an independent team did in 2016, get an insignificant signal above background (gold), or a signal that's significant at the 3-sigma level (purple), as the Fermi team did.
We think that you need to discuss other ways of interpreting your data.
However, the referees agree that there is one major potential problem in interpreting your data, which comes from artificial dimerization by GST or native rat brain dynein including the three accessory chains and potentially other accessory proteins.
Check out polls like the entrance poll from the Iowa caucus to get ideas for other questions to include in your poll, and use those answers to help interpret your polling data.
A: The beauty of a "wet dry" group is that you have the ability to interpret your own experimental data computationally and, conversely, to test computational predictions experimentally.
A: The beauty of a "wet-dry" group is that you have the ability to interpret your own experimental data computationally and to test computational predictions experimentally.
