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- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/10%3A_Hypothesis_Testing_with_Two_Samples/10.09%3A_Formula_ReviewThis page discusses statistical methods for comparing two independent population means, focusing on standard error, test statistics, and effect sizes. It includes formulas for calculating standard err...This page discusses statistical methods for comparing two independent population means, focusing on standard error, test statistics, and effect sizes. It includes formulas for calculating standard error and \(t\)-scores, determining degrees of freedom, and introduces Cohen's \(d\) for effect size. The text covers cases with known variances and matched samples, detailing the use of \(z\)-scores and \(t\)-scores based on variance knowledge.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/14%3A_Apppendices/14.01%3A_B__Mathematical_Phrases_Symbols_and_Formulas/14.1.00%3A_English_Phrases_Written_MathematicallyThis page interprets statements about the variable \(X\) concerning the number 4. It translates common English phrases into mathematical inequalities and equalities, such as "at least 4" as \(X \geq 4...This page interprets statements about the variable \(X\) concerning the number 4. It translates common English phrases into mathematical inequalities and equalities, such as "at least 4" as \(X \geq 4\) and "less than 4" as \(X < 4\). The text covers comparisons of \(X\) to 4, detailing when it is equal, greater, or less than 4, as well as indicating when \(X\) is not equal to 4.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/11%3A_The_Chi-Square_DistributionThis page offers a comprehensive overview of the Chi-Square Distribution, covering its characteristics and applications in hypothesis testing, including variance, goodness-of-fit, independence, and ho...This page offers a comprehensive overview of the Chi-Square Distribution, covering its characteristics and applications in hypothesis testing, including variance, goodness-of-fit, independence, and homogeneity tests. It highlights the Goodness-of-Fit test's role in evaluating data alignment with specific distributions and includes review exercises and references for further study.
