Correlation Coefficient: Understand the calculation using the formula:
r = \frac{\sum (xi - \bar{x})(yi - \bar{y})}{\sqrt{\sum (xi - \bar{x})^2 \sum (yi - \bar{y})^2}}
R-Hat Equation: The line of best fit model described by:
\hat{y} = b1x + b0
Standard Deviation: Measure of data variability, calculated as:
s = \sqrt{\frac{\sum (x_i - \bar{x})^2}{n - 1}}
Expected Value:
E(X) = \sum (xi \cdot p(xi))
where xi is outcome, and p(xi) is corresponding probability.
Variance Calculation:
\sigma^2 = \sum (xi - \mu)^2 \cdot p(xi)
Binomial Distribution:
To find P(x = k) in a binomial:
P(X = k) = C(n, k) p^k(1-p)^{n-k}
where C(n, k) represents combinations, and p denotes success probability.