Scientist and engineers compare a measurement to the accepted value using the term accuracy. The measurement system must provide both accuracy and precision if it is valid.Continue Reading
Accuracy relates closely to precision but is not the same. A common example includes the use of a target and darts. Four darts, with even spacing, around the bull's eye are accurate, yet not precise. Two darts with relatively close spacing yet far from the center of the target demonstrate precision but not accuracy. Accuracy and precision involve all darts landing near the bull's eye.
Scientists often express accuracy by means of significant figures. Convention dictates that the accuracy of the measurement is within one-half of the last significant figure. The accepted value results from repeated measurements of a traceable standard. The International System of Units defines these standards. In the United States, the National Institute of Standards and Technology maintains such traceable standards.
Increasing the number of measurements and averaging the results improves the accuracy of the measurement but does not necessarily improve the precision. In medicine and psychological studies, the scientist increases the number of measurements by increasing the number of participants in a study. However, increasing participants also increases the number of variables, some of which the researcher has not considered, into the study.Learn more about Statistics
A half-test reliability measurement can be performed by splitting the test questions into two groups, such as odd-numbered questions and even-numbered questions, and then comparing the results. The scores obtained from the two groups are correlated, and if the scores obtained from both halves demonstrate a high positive reliability coefficient, or correlation, it can generally be assumed that the test is reliable.Full Answer >
A standardized regression coefficient removes the original unit of measurement for variables in a regression equation. These coefficients are standardized and converted to a scale from 0 to 1. Since the values are standardized, a researcher can more easily compare the effect sizes of variables measured on different scales.Full Answer >
Polynomial end behavior can be determined by the features of the term with the highest power. Look at this term carefully to provide this information.Full Answer >
The term sensitivity in epidemiology is a statistical measure on individuals who are positive, and they test positive in the tests. On the other hand, specificity refers to a statistical measure of individuals who tests negative and are truly negative.Full Answer >