adjective not exact or precise; not completely accurate
Inexact data can impact the accuracy of scientific experiments.
Inexact measurements can lead to errors in calculations.
Inexact predictions can lead to financial losses.
Inexact diagnoses can result in incorrect treatment plans.
Inexact data can affect the validity of statistical analysis.
Inexact specifications can result in faulty designs or products.
Inexact algorithms may produce inaccurate results.
In a professional writing context, 'inexact' may be used to describe information that is not precise or accurate, such as in a draft that needs further editing for clarity and specificity.
Psychologists may use the term 'inexact' when discussing the limitations of psychological assessments or when interpreting ambiguous or inconclusive data in a clinical setting.
Scientists may use 'inexact' to refer to experimental results that have a margin of error or uncertainty, indicating that further research or refinement is needed to achieve more precise measurements.
Engineers may use 'inexact' when describing calculations or designs that are approximate or based on assumptions, acknowledging that the final outcome may not be completely accurate due to various factors.
In the field of statistics, 'inexact' may be used to indicate the imprecision or variability of data, highlighting the need for statistical methods to account for uncertainty and variability in analyses.