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  • 3.4: Chapter 3 Formulas
    https://stats.libretexts.org/Workbench/Introduction_to_Statistical_Methods_(Yuba_College)/03%3A_Descriptive_Statistics/3.04%3A_Chapter_3_Formulas
    Sample Mean: \(\bar{x} = \frac{\sum x}{n}\) Population Mean: \(\mu = \frac{\sum x}{N}\) Weighted Mean: \(\bar{x} = \frac{\Sigma(x w)}{\sum w}\) Sample Standard Deviation: s = \(\sqrt{\frac{\sum(x-\bar...Sample Mean: \(\bar{x} = \frac{\sum x}{n}\) Population Mean: \(\mu = \frac{\sum x}{N}\) Weighted Mean: \(\bar{x} = \frac{\Sigma(x w)}{\sum w}\) Sample Standard Deviation: s = \(\sqrt{\frac{\sum(x-\bar{x})^{2}}{n-1}}\) Sample Variance: s 2 = \(\frac{\Sigma(x-\bar{x})^{2}}{n-1}\) Coefficient of Variation: CVar = \(\left(\frac{s}{\bar{x}} \cdot 100\right) \%\) Percentile Index: i = \(\frac{(n + 1) \cdot p}{100}\) Chebyshev’s Inequality: \(\left(\left(1-\frac{1}{(z)^{2}}\right) \cdot 100\right) \%\)
  • 2.8: Descriptive Statistics Formulas
    https://stats.libretexts.org/Workbench/Statistics_for_Behavioral_Science_Majors/02%3A_Descriptive_Statistics/2.08%3A_Descriptive_Statistics_Formulas
    Refer to this section when it is necessary to remember formulas for descriptive statistics.

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