Deskriptivní

Průměr

\bar{x} = \frac{\sum_{i = 1}^{n} x_{i}}{n}

x = \frac{n + 1}{2}

Median = \frac{x_{\frac{n}{2}} + x_{\frac{n}{2} + 1}}{2}

σ^{2} = \frac{1}{n} \sum_{i = 1}^{n} (x_{i} - μ)^{2}

σ = \sqrt{\frac{1}{n} \sum_{i = 1}^{n} (x_{i} - μ)^{2}}

ρ = \frac{\sum_{i = 1}^{n} (x_{i} - \bar{x}) (y_{i} - \bar{y})}{\sqrt{\sum_{i = 1}^{n} (x_{i} - \bar{x})^{2}} \sqrt{\sum_{i = 1}^{n} (y_{i} - \bar{y})^{2}}}

r = 1 - \frac{6 \sum d_{i}^{2}}{n (n^{2} - 1)}

Y = β_{0} + β_{1} X

P (X = k) = (\binom{n}{k}) p^{k} (1 - p)^{n - k}

f (x) = \frac{1}{σ \sqrt{2 π}} e^{- \frac{1}{2} {(\frac{x - μ}{σ})}^{2}}

f (x) = \frac{1}{σ \sqrt{2 π}} e^{- (\frac{(x - μ)^{2}}{2 σ})}

Z = \frac{x - μ}{σ}

SE = \frac{σ}{\sqrt{n}}

Z = \frac{\bar{x} - μ}{\frac{σ}{\sqrt{n}}}

ME = Z \times \frac{σ}{\sqrt{n}}