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These flashcards summarize key terms and concepts from the lecture notes on chemical analysis measurements, including the purpose of replicate measurement, types of errors, and evaluation methods.
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Replicate Measurement
Samples conducted in close similarity to improve reliability in analysis.
Accuracy
Closeness of a measurement to the true or accepted value.
Precision
Reproducibility of a measurement across multiple trials.
Mean
The average value obtained from a set of measurements.
Median
The middle value when a data set is arranged in numerical order.
Outlier
A measurement that differs significantly from the others in a dataset.
Systematic Error
Errors that consistently shift measurements in one direction away from the true value.
Random Error
Errors that lead to variability in measurements without a defined pattern.
Gross Error
Significant mistakes often due to human error or misconceptions in measurement.
Standard Deviation
A measure of the amount of variation or dispersion of a set of values.
Coefficient of Variation
A normalized measure of dispersion expressed as the ratio of the standard deviation to the mean.
Instrumental Errors
Errors due to non-ideal instrument behavior or faulty calibrations.
Method Errors
Errors related to the non-ideal behavior of reagents during a measurement process.
Personal Errors
Errors arising from the carelessness or limitations of the experimenter.
Detection Limit
The lowest concentration of a substance that can be reliably detected.
Dynamic Range
The range over which an instrument can accurately measure a particular variable.
Bias
A systematic deviation of the measurement from the true value.
Control Determination
Using a standard material under the same conditions to minimize errors.
Dilution Method
A technique to reduce interference errors by diluting the sample.
Standard Addition
Adding a known quantity of analyte to a sample to measure changes in response.
Internal Standard Method
Adding a reference species to samples and comparing the analyte signal.
Parallel Determination
Repeating measurements in duplicates or triplicates to minimize errors.
Absolute Error
The difference between a measured value and the true value.
Relative Error
The absolute error expressed as a percentage of the true value.
Bias Significance
Negative bias indicates results are low; positive bias indicates results are high.
Statistical Test
A method used to evaluate differences in results from different analytical methods.
Performance Characteristics
Criteria used to evaluate the performance of analytical techniques.
Figures of Merit
Measurements that assess the capability and reliability of an analytical instrument.
Experimental Uncertainty
The degree of doubt in measurements that always exists.
Replicate Data Variability
Variations observed when repeating the same measurement procedure.
Calculation Errors
Errors resulting from incorrect calculations or data recording.
Laboratory Discipline
Systematic, careful work approach in laboratory experiments to minimize personal errors.