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  • https://chem.libretexts.org/Bookshelves/Analytical_Chemistry/Analytical_Chemistry_2.1_(Harvey)/16%3A_Appendix/16.09%3A_Correcting_Mass_for_the_Buoyancy_of_Air
    The text discusses the determination and correction of buoyancy errors when calibrating balances and volumetric glassware. Buoyancy causes objects to weigh less in air than in a vacuum, requiring a co...The text discusses the determination and correction of buoyancy errors when calibrating balances and volumetric glassware. Buoyancy causes objects to weigh less in air than in a vacuum, requiring a correction depending on the density difference between the object and calibration weights. The correction is usually minor but significant for low-density materials. Example calculations demonstrate how ignoring buoyancy introduces errors, emphasizing its importance in precise calibration.
  • https://chem.libretexts.org/Courses/Lakehead_University/Analytical_I/4%3A_Evaluating_Analytical_Data/4.02%3A_Characterizing_Experimental_Errors
    We call errors affecting the accuracy of an analysis determinate. Although there may be several different sources of determinate error, each source has a specific magnitude and sign. Some sources of d...We call errors affecting the accuracy of an analysis determinate. Although there may be several different sources of determinate error, each source has a specific magnitude and sign. Some sources of determinate error are positive and others are negative, and some are larger in magnitude and others are smaller. The cumulative effect of these determinate errors is a net positive or negative error in accuracy.
  • https://chem.libretexts.org/Bookshelves/Analytical_Chemistry/Analytical_Chemistry_2.1_(Harvey)/04%3A_Evaluating_Analytical_Data/4.06%3A_Statistical_Methods_for_Normal_Distributions
    This page discusses the use of statistical tests to compare means and variances in analytical chemistry. Key methods include the t-test for comparing sample means, the F-test for variances, and signif...This page discusses the use of statistical tests to compare means and variances in analytical chemistry. Key methods include the t-test for comparing sample means, the F-test for variances, and significance tests for outliers like Dixon's Q-test, Grubb's test, and Chauvenet's criterion. The tests help determine if observed differences are significant or due to chance, aiding in validating analytical methods or identifying errors in analyses.
  • https://chem.libretexts.org/Courses/Los_Angeles_Trade_Technical_College/Analytical_Chemistry/2%3A_Analytical_Chemistry_2.0_(Harvey)/05%3A_Evaluating_Analytical_Data/5.02%3A_Characterizing_Experimental_Errors
    We call errors affecting the accuracy of an analysis determinate. Although there may be several different sources of determinate error, each source has a specific magnitude and sign. Some sources of d...We call errors affecting the accuracy of an analysis determinate. Although there may be several different sources of determinate error, each source has a specific magnitude and sign. Some sources of determinate error are positive and others are negative, and some are larger in magnitude and others are smaller. The cumulative effect of these determinate errors is a net positive or negative error in accuracy.

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