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- https://chem.libretexts.org/Bookshelves/Analytical_Chemistry/Analytical_Chemistry_2.1_(Harvey)/05%3A_Standardizing_Analytical_Methods/5.08%3A_Additional_ResourcesThe text provides a comprehensive list of resources and references for understanding various standardization methods, linear regression, and calibration techniques in analytical chemistry. It covers t...The text provides a comprehensive list of resources and references for understanding various standardization methods, linear regression, and calibration techniques in analytical chemistry. It covers topics like external standards, standard additions, internal standards, linear and nonlinear regression, handling of errors and outliers, multivariate calibration, method blanks, and computational packages for regression analyses.
- https://chem.libretexts.org/Bookshelves/Analytical_Chemistry/Instrumental_Analysis_(LibreTexts)/35%3A_Appendicies/35.03%3A_Critical_Values_for_t-TestIn the first approach we choose a value of α for rejecting the null hypothesis and read the value of t(α,ν) from the table below. In the second approach, we find the row in the tab...In the first approach we choose a value of α for rejecting the null hypothesis and read the value of t(α,ν) from the table below. In the second approach, we find the row in the table below that corresponds to the available degrees of freedom and move across the row to find (or estimate) the a that corresponds to texp=t(α,ν); this establishes largest value of α for which we can retain the null hypothesis.
- https://chem.libretexts.org/Courses/Los_Angeles_Trade_Technical_College/Analytical_Chemistry/2%3A_Analytical_Chemistry_2.0_(Harvey)/05%3A_Evaluating_Analytical_Data/5.06%3A_Statistical_Methods_for_Normal_DistributionsThe normal distribution is the most common distribution used for experimental results. Because the area between any two limits of a normal distribution is well defined, constructing and evaluating sig...The normal distribution is the most common distribution used for experimental results. Because the area between any two limits of a normal distribution is well defined, constructing and evaluating significance tests is straightforward.
- https://chem.libretexts.org/Courses/Lakehead_University/Analytical_I/4%3A_Evaluating_Analytical_Data/4.06%3A_Statistical_Methods_for_Normal_DistributionsThe normal distribution is the most common distribution used for experimental results. Because the area between any two limits of a normal distribution is well defined, constructing and evaluating sig...The normal distribution is the most common distribution used for experimental results. Because the area between any two limits of a normal distribution is well defined, constructing and evaluating significance tests is straightforward.
- https://chem.libretexts.org/Courses/Los_Angeles_Trade_Technical_College/Analytical_Chemistry/2%3A_Analytical_Chemistry_2.0_(Harvey)/15%3A_Developing_a_Standard_Method/15.3%3A_Validating_the_Method_as_a_Standard_MethodFor an analytical method to be useful, an analyst must be able to achieve results of acceptable accuracy and precision. Verifying a method, as described in the previous section, establishes this goal ...For an analytical method to be useful, an analyst must be able to achieve results of acceptable accuracy and precision. Verifying a method, as described in the previous section, establishes this goal for a single analyst. Another requirement for a useful analytical method is that an analyst should obtain the same result from day to day, and different labs should obtain the same result when analyzing the same sample. The process by which we approve method for general use is known as validation.
