Analytical chemists use these tests to determine if a difference in results is "real" or just a fluke of random error.
Errors that have a definite cause (e.g., an uncalibrated pipette). These affect accuracy —how close you are to the true value. Statistical Methods in Analytical Chemistry (Ch...
The lowest concentration at which we can perform a quantitative measurement with acceptable precision. 6. Confidence Intervals (CI) Analytical chemists use these tests to determine if
Before complex modeling, you have to understand the "shape" of your results. Mean ( The lowest concentration at which we can perform
Most analytical instruments produce a signal (like absorbance) that must be converted to concentration.
Instead of reporting a single number, chemists report a range. A 95% Confidence Interval tells the reader: "I am 95% sure the true value lies between X and Y." This accounts for both the mean and the uncertainty of the measurement.
Expressed as a percentage, this allows you to compare the precision of different methods regardless of the units. 2. Error Analysis: Accuracy vs. Precision
