Independent & Dependent Events

Independent events are events where the outcome of one event does not affect the outcome of another. For example, flipping a coin and rolling a die are independent events.

Dependent events are events where the outcome of one event affects the outcome of another. For example, drawing cards from a deck without replacement is a dependent event.

The probability is dependent on the first selection, making it a dependent event.

The probability remains $$\frac{1}{6}$$ , making it an independent event.

The probability is dependent on the first draw, making it a dependent event.

The probability is $$\frac{1}{1000}$$ , making it an independent event.

The probability is independent, calculated as $$\frac{1}{6} \times \frac{1}{6} \times \frac{1}{6} = \frac{1}{216}$$ .

Probability is the measure of the likelihood that an event will occur, expressed as a number between 0 and 1.

The formula is: P(A and B) = P(A) * P(B).

The formula is: P(A and B) = P(A) * P(B|A), where P(B|A) is the probability of B given A.