Bernoulli Distribution
Tags: #Math #StatisticsEquation
$$Pr(X=1) = p = 1- Pr(X=0) = 1 - q, \\ f(x)=p \text{ if } k = 1 \text{ else } q \text{ if } k = 0$$Latex Code
Pr(X=1) = p = 1- Pr(X=0) = 1 - q, \\
f(x)=p \text{ if } k = 1 \text{ else } q \text{ if } k = 0
Have Fun
Let's Vote for the Most Difficult Equation!
Introduction
Equation
$$Pr(X=1) = p = 1- Pr(X=0) = 1 - q$$ $$f(x)=p \text{ if } k = 1 \text{ else } q \text{ if } k = 0$$
Latex Code
Pr(X=1) = p = 1- Pr(X=0) = 1 - q, \\
f(x)=p \text{ if } k = 1 \text{ else } q \text{ if } k = 0
Explanation
Latex code for the Bernoulli Distribution.
- Probability parameter: $$p, q$$
- PDF for Bernoulli Distribution: $$f(x)=p \text{ if } k = 1 \text{ else } q \text{ if } k = 0$$
- CDF for Bernoulli Distribution: $$0 \text{ if } k < 0, 1-p \text{ if } 0 \le k \lt 1, 1 \text{ if } k \ge 1$$
Reply