"build hypothesis" is a correct and usable phrase in written English.
It is often used in scientific or academic writing to refer to the process of developing a hypothesis or a tentative explanation for a phenomenon based on available evidence. Example: The researchers spent months analyzing data and conducting experiments in order to build a hypothesis about the cause of the mysterious disease outbreak.
Customer Development is growing fast here in Japan, with Lean LaunchPad programs in great demand among entrepreneurs and "wanabees" learning to build hypothesis and test them by getting out of the building.
The generated data is used to create a model and build hypothesis, which then can be tested by further experiments.
Moreover, Pharmaco-miR can be used to build hypothesis on which functionally important miRNA pharmacogenomic sets may not yet been identified.
Biologists in general and systematists in particular use these clues to build hypotheses or models of the history.
Organizations that want employees to be more data oriented in their thinking and decision making must train them to know when to draw on data and how to frame questions, build hypotheses, conduct experiments, and interpret results.
We then build hypotheses on two specific resource constraints, knowledge and financial, and test these by a lagged-variable random-effects Tobit model with longitudinal data from an exceptionally large and detailed innovation survey.
Furthermore, an elaboration likelihood model (ELM) was used to build hypotheses about how the online shopping behavior of consumers is affected by OREMs based on the proposed causal map.
The preclinical data, particularly the mode(s) of action of the drug and the results on experimental models, can help to build hypotheses on the agent's potential efficacy for individual seizure types and syndromes.
When side effects do manifest in preclinical species or in clinical trial participants, human genetics of the target can be used to build hypotheses of whether the side effects are target-mediated phenotypes intrinsic to the therapeutic mechanism, or off-target effects that could be engineered out of the drug.
Indeed, it should be possible, the pair think, for the artificial scientist to build hypotheses directly from the data, spotting relationships that the humble graduate student or even his supervisor might miss.Indeed, Luca Cardelli, who also works for Microsoft Research, likens biological cells to computers.
After goal definition, information has to be collected and evaluated in order to build hypotheses about the system (Dörner and Wearing 1995).
