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- 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 \(\alpha\) for rejecting the null hypothesis and read the value of \(t(\alpha,\nu)\) from the table below. In the second approach, we find the row in the tab...In the first approach we choose a value of \(\alpha\) for rejecting the null hypothesis and read the value of \(t(\alpha,\nu)\) 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 \(t_\text{exp} = t(\alpha,\nu)\); this establishes largest value of \(\alpha\) for which we can retain the null hypothesis.
- https://chem.libretexts.org/Bookshelves/Analytical_Chemistry/Analytical_Chemistry_2.1_(Harvey)/16%3A_Appendix/16.04%3A_Critical_Values_for_t-TestThe page describes two approaches to interpreting a t-test once t_{exp} has been calculated. The first approach involves selecting an alpha value to reject the null hypothesis and comparing t_{exp} ag...The page describes two approaches to interpreting a t-test once t_{exp} has been calculated. The first approach involves selecting an alpha value to reject the null hypothesis and comparing t_{exp} against the critical t-values from a table. If t_{exp}) is greater, the null hypothesis is rejected.
- https://chem.libretexts.org/Bookshelves/Analytical_Chemistry/Analytical_Chemistry_2.1_(Harvey)/16%3A_Appendix/16.06%3A_Critical_Values_for_Dixon's_Q-TestThis page discusses Dixon's Q-test, a statistical method used to identify outliers in a data set. The focus is on Q10, a specific calculation for detecting a single outlier by comparing an outlier's d...This page discusses Dixon's Q-test, a statistical method used to identify outliers in a data set. The focus is on Q10, a specific calculation for detecting a single outlier by comparing an outlier's deviation from its nearest data point with the total range of the sample set. If the calculated value (Qexp) exceeds a critical value depending on the significance level alpha and the sample size (n), the outlier is rejected.
- https://chem.libretexts.org/Bookshelves/Analytical_Chemistry/Analytical_Chemistry_2.1_(Harvey)/04%3A_Evaluating_Analytical_Data/4.05%3A_Statistical_Analysis_of_DataThis page discusses the concept of confidence intervals and significance testing in statistical analysis. Confidence intervals are used to estimate the range of values within which a population mean m...This page discusses the concept of confidence intervals and significance testing in statistical analysis. Confidence intervals are used to estimate the range of values within which a population mean may lie, providing a probabilistic basis for making inferences. Significance testing, or hypothesis testing, involves comparing sample results to determine if differences are due to random error or significant factors.
