Experimental Probability of Compound Events

Experimental probability is the ratio of the number of times an event occurs to the total number of trials or observations.

Experimental probability is calculated using the formula: \( P(E) = \frac{\text{Number of favorable outcomes}}{\text{Total number of trials}} \)

A compound event is an event that consists of two or more simple events. For example, rolling a die and flipping a coin.

Experimental probability is based on actual experiments and observations, while theoretical probability is based on expected outcomes in a perfect world.

The experimental probability is \( P = \frac{10}{60} = \frac{1}{6} \)

The experimental probability is \( P = \frac{15}{75} = \frac{1}{5} \)

The experimental probability is \( P = \frac{7}{50} \)

The experimental probability is \( P = \frac{3}{25} \)

The experimental probability is \( P = \frac{6}{25} \)

A simple event is an event that consists of a single outcome. For example, rolling a 3 on a die.