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No, they cannot be eliminated. They can be greatly minimized to reduce errors though.

Determinate errorshave a definite direction and magnitude and have an assignable cause (their cause can be determined). Determinate error is also called systematic error. Determinate error can (theoretically) be eliminated.Indeterminate errorsarise from uncertainties in a measurement as discussed above. Indeterminate error is also called random error, or noise. Indeterminate error can be minimized but cannot be eliminated.

SOURCE: http://chemlabs.uoregon.edu/Classes/Exton/Misc/determinate.html

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Distinguish between determinate error and indeterminate error?

Indeterminate errors are random errors that randomly fluctuate and cannot be eliminated. Determinate errors


Classification of errors in analytical chemistry?

Systematic Errors: Errors due to the design and execution of the experiment. They can be identified through a careful analysis of the experiment and associated experiments, and measures can be taken to correct them. Systematic errors occur with the same magnitude and sign every time the experiment is performed, and affect the accuracy of the results, but not the precision. If an experiment has small systematic errors, it is accurate. Random Errors: Errors due to indeterminate causes throughout the experiment, such as unpredictable mechanical and electrical fuctuations affecting the operation of the instrument or experimental apparatus or even human errors arising from psychological and physiological limitations. They occur with a different sign and magnitude each time an experiment is executed. If an experiment has small random errors, it is precise.


Why is it important to identify errors in an experiment?

why is it important to identify errors in an experiment


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To eliminate the possibility of hidden or unknown variables the scientist must run what kind of experiment?

To eliminate the possibility of hidden or unknown variables the scientist must a control experiment.


What reason is the primary rationale for controlling variables in an experiment?

To eliminate alternative explanations for the result of an experiment


Write detail of determinate and indeterminate errors?

Determinate errors, also known as systematic errors, are consistent and reproducible inaccuracies that arise from flaws in measurement instruments, calibration, or methodology, leading to results that are consistently offset from the true value. Examples include miscalibrated scales or consistently misread instruments. In contrast, indeterminate errors, or random errors, are unpredictable and arise from uncontrolled variables, such as environmental changes or human judgment, resulting in variations in measurements that do not consistently favor one direction. While determinate errors can often be corrected, indeterminate errors can only be minimized through repeated measurements and statistical analysis.


How can you eliminate confounding variables in your experiment?

To eliminate confounding variables, or variables that were not controlled and damaged the validity of the experiment by affecting the dependent and independent variable, the experimenter should plan ahead. They should run many checks before actually running an experiment.


Why infinity infinity is not indeterminate form?

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How can you be sure the results of an experiment are accurate?

To ensure the accuracy of experiment results, one must carefully design the experiment, control for variables, replicate the experiment, use appropriate measurement tools, and analyze the data correctly. It is also important to consider sources of bias or errors and eliminate them as much as possible. Peer review and verification by other scientists can further validate the accuracy of the results.


The main reason why is it important to identify errors in an experiment?

because when the errors are not been identified your experiment will be ruined.... wuahahaha .. :DD :D :DD


How can you increase the accuracy in experiment?

To increase the accuracy of an experiment, ensure precise measurements by using calibrated instruments and maintaining consistent conditions throughout the experiment. Implement proper controls to eliminate variables that could skew results, and conduct multiple trials to average out anomalies. Additionally, employing statistical analysis can help identify and reduce errors, ultimately leading to more reliable outcomes.