Original sentence: Accurate correlations in scientific studies are of critical importance to determine the validity of empirical research.Statistical formulas such as uncertainty coefficient and chi square are fundamental to forming logical, valid conclusions
Edited sentence: , subjective) experience.Accurate analysis of data using standardized statistical methods in scientific studies is critical to determining the validity of empirical research.Among scientific researchers, empirical evidence (as distinct from empirical research) refers to objective evidence that appears the same regardless of the observer.By contrast, non-empirical evidence is subjective, depending on the observer.Following the previous example, observer A might truthfully report that a room is warm, while observer B might truthfully report that the same room is cool, though both observe the same reading on the thermometer.For example, a thermometer will not display different temperatures for each individual who observes it.Ideally, empirical research yields empirical evidence, which can then be analyzed for statistical significance or reported in its raw form.If empirical data reach significance under the appropriate statistical formula, the research hypothesis is supported.If not, the null hypothesis is supported, meaning no effect of the independent variable(s) was observed on the dependent variable(s).Statistical formulas such as regression, uncertainty coefficient, t-test, chi square, and various types of ANOVA (analyses of variance) are fundamental to forming logical, valid conclusions.Temperature, as measured by an accurate, well calibrated thermometer, is empirical evidence.The use of empirical evidence negates this effect of personal (i