Business Analysis 2

 $M$  

• Population Mean

• Sample Mean

• Population Variance

• Standard Deviation

Can assume any value in an interval

• Discrete Random Variable

• Continuous Random Variable

Value is obtained by counting

• Discrete Random Variable

• Continuous Random Variable

 $\sigma^2$  

• Population Variance

• Sample Variance

• Population Standard Deviation

• Sample Standard Variation

 $\sigma^{ }$  

• Population Variance

• Sample Variance

• Population Standard Deviation

• Sample Standard Variation

 $\sum_{ }^{ }\left(F\left(fx_i\right)\ x_i\right)$  

• Expected Value (Mean)

• Poisson Distribution formula

• Population Variance

• Binomial Distribution formula

 $\sum_{ }^{ }\left(\left[x_i-E\left(x\right)^2\ \right]\left(fx_i\right)\right)$  

• Expected Value (Mean)

• Poisson Distribution formula

• Population Variance

• Binomial Distribution formula

 $\frac{M^x\left(e^{-M}\right)}{x!}$  

• Expected Value (Mean)

• Poisson Distribution formula

• Population Variance

• Binomial Distribution formula

 $\frac{n!}{x!\left(n-x\right)!}\left(p\right)^x\left(1-p\right)^{\left(n-x\right)}$  

• Expected Value (Mean)

• Poisson Distribution formula

• Population Variance

• Binomial Distribution formula

 $\frac{x_1-M_x}{\sigma_x}$  

• Binomial Distribution Mean

• Binomial Distribution Variance

• Z-Score