Independent Events
Independent events refer to a situation where the occurrence or outcome of one event does not affect or influence the occurrence or outcome of another event
Independent events refer to a situation where the occurrence or outcome of one event does not affect or influence the occurrence or outcome of another event. In other words, the probability or likelihood of one event happening does not depend on the occurrence or non-occurrence of another event.
To better understand this concept, let’s consider the following example:
Let’s say we have a jar filled with colored balls – 4 red balls and 6 blue balls. We randomly pick one ball from the jar, record its color, and then put it back in the jar before choosing another ball.
In this scenario, the events of picking the first ball and picking the second ball are considered independent events. The reason is that the probability of picking a red ball or a blue ball on the second draw is unaffected by the color of the ball picked on the first draw. This is because each draw is conducted with replacement, meaning that the same set of balls is available for selection during each event.
So, the probability of picking a red ball on the first draw is 4/10 since there are 4 red balls out of a total of 10 balls in the jar. The probability of picking a blue ball on the second draw is also 6/10, irrespective of whether the first ball was red or blue.
To determine the probability of both independent events occurring, we can multiply the individual probabilities together. For example, the probability of picking a red ball on the first draw and then a blue ball on the second draw is (4/10) * (6/10) = 24/100 = 6/25.
In general, two events are considered independent if the probability of both events occurring is equal to the product of their individual probabilities. Mathematically, this can be expressed as P(A and B) = P(A) * P(B), where P(A and B) represents the probability of events A and B occurring together.
More Answers:
Understanding Dependent Events | Probability and CalculationUnderstanding the Sample Space in Probability Theory | Explained with Examples
Understanding Compound Events | The Difference Between Independent and Dependent Events in Probability Theory