Статистичке формуле

\mu=\frac{x_1+x_2+...+x_n\ }{n}

=\frac{\sum_{i=1}^nx_i}{n} (1.1)

\mu=\frac{f_1\mathrm{x}\ _1+f_2x_2+\ldots+f_nx_n\ }{f_1+f_2+...+f_n}

=\frac{\sum_{i=1}^nf_ix_i}{\sum_{i=1}^nf_i} (1.2)

\mu=\frac{\sum_{i=1}^nf_ix_i}{\sum_{i=1}^nf_i} (1.3)

G = \sqrt[n]{ x_1 \cdot x_2 \cdot \ldots \cdot x_n}

{\small \mathrm{logG=\frac{\log{x_1+\log{x_2+}\log{x_3+\cdots+\log{x_n}}}}{N}}}

=\frac{\sum \log x}{N}

G = \sqrt{\frac{\sum \log x}{N}} (1.4)

H = \frac{f_1 + f_2 + f_3 + \ldots + f_n}{\frac{f_1}{x_1} + \frac{f_2}{x_2} + \frac{f_3}{x_3} + \ldots + \frac{f_n}{x_n}}  = \frac{N}{\sum_{i=1}^{n} \frac{f_i}{x_i}}

= \frac{\sum_{i=1}^{n} f_i}{\sum_{i=1}^{n} \frac{f_i}{x_i}} (1.6)

 = \frac{N}{\sum_{i=1}^{n} \frac{f_i}{x_i}}

M_o=l_1+\frac{f2-f1}{\left(f2-f1\right)+\left(f2-f3\right)}\cdot i (1.7)

M=l+\frac{\frac{N}{2}-cumf_{m-1}}{f_m}\ast i (1.9)

i=x_{\max}-\ x\ _{\min\ \left(1.10\right)}

\sigma^2\ =\ \frac{(x_1-µ)^2+(x_2-µ)^2+(x_3-µ)^2}{n}

\sigma^2\ =\ \frac{\sum_{i=1}^n(x_i-µ)^2}{n}\ \left(1.11\right)

\sigma^2\ =\ \frac{\sum_{i=1}^n\ f_{i\ }\left(\overline{X\ }-µ\right)^2}{\sum_{i=1}^nf_i}\ \left(1.12\right)

\sigma^2\ =\ \frac{\sum_{i=1}^n\ f_{i\ }\cdot\ \overline{X\ }^2}{\sum_{i=1}^nf_i}-µ^2\ \left(1.12\right)

σ=\sqrt{\sigma^2\ } (1.13)

σ=\sqrt{\sigma^2\ }=\ \sqrt{\frac{\sum_{i=1}^n\ (x_i-µ)^2}{\sum_{i=1}^nf_i}}\left(1.14\right)

σ=\sqrt{\sigma^2\ }=\ \sqrt{\frac{\sum_{i=1}^n\ x_i^2}{\sum_{i=1}^nf_i}-µ^2}\left(1.14\right)

σ=\sqrt{\sigma^2\ }=\sqrt{\frac{\sum_{i=1}^n\ f_i(x_i-µ)^2}{\sum_{i=1}^nf_i}}\left(1.15\right)

σ=\sqrt{\sigma^2\ }=\sqrt{\frac{\sum_{i=1}^n\ f_i\cdot x_i^{^2}}{\sum_{i=1}^nf_i}-µ^2}\ \left(1.15\right)

K_v=\ \frac{\sigma}{µ}\cdot100\ \left(1.16\right)

iq=\frac{q1}{qo}\cdot100\ базни (1.17)

iq=\frac{q1}{q1-1}\cdot100\ ланчани(1.18)

iq=\frac{Σ\frac{q1}{qo}\cdot Wo}{ΣWo}\cdot100(1.19)

iq=\frac{Σq1\cdot po}{Σqo\cdot po}\cdot100\ (1.20)

iq=\frac{Σq1\cdot p1}{Σqo\cdot p1}\cdot100\ (1.21)

ipq=\frac{Σp1\cdot q1}{Σpo\cdot qo}\cdot100\ (1.22)

ip=\frac{p1}{po}\cdot100 (1.23)

Ip=\frac{Σ\frac{p1}{po}\cdot po\cdot qo}{Σpo\cdot qo}\cdot100 (1.24)

Ip=\frac{Σp1\cdot qo}{Σpo\cdot qo}\cdot 100 (1.25)

Ip=\frac{Σp1\cdot q1}{Σpo\cdot q1}\cdot 100 (1.26)

I=\frac{Σ\frac{p1}{p0}Wo}{ΣWo}(1.27)

I_t^L=\frac{Y_t}{Y_t-1}\cdot100 (1.28)

stopa\ rasta=I_t^L-100  (1.29)

G=\sqrt[r-1]{I_2^L\cdot I_3^L\cdot\ldots\cdot I_T^L}(1.30)

G=antilog\ (\frac{\sum{log\ x}}{n})(1.31)

r_g=G-100(1.32)