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Explore Statistical Concepts
Binomial Distribution
\( P(X=k) = \binom{n}{k} p^k (1-p)^{n-k} \)
Normal Distribution
\( f(x) = \frac{1}{\sigma \sqrt{2\pi}} e^{-\frac{(x-\mu)^2}{2\sigma^2}} \)
Regression Analysis
\( y = \beta_0 + \beta_1 x + \epsilon \)
Time Series Analysis
\( Y_t = \alpha + \beta t + \epsilon_t \)