Law of Total Probability
It is time to gain insight into theoretical terms! Let's start.
The first crucial term is exhaustive events.
What is it?
This term describes when at least one event must happen.
Example:
The simplest and the most evident example is tossing a coin. The probability of receiving head or tail is 50%, but together they result in 100%(all outcomes). In other words, the events are exclusive.
Moving on, let us look at another term i.e. law of total probability.
To understand better, it is better to solve one task.
Example:
Imagine that we have three boxes. The first one contains 7 red balls, the second one contains 5 green balls and the third one contains 4 green balls and 3 red balls. Calculate the probability that we will randomly pull out red ball.
So, the result is 0.47619048, to find it we should multiply the probability to pick a specific box by the probability to pull out the box from this column.
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It is time to gain insight into theoretical terms! Let's start.
The first crucial term is exhaustive events.
What is it?
This term describes when at least one event must happen.
Example:
The simplest and the most evident example is tossing a coin. The probability of receiving head or tail is 50%, but together they result in 100%(all outcomes). In other words, the events are exclusive.
Moving on, let us look at another term i.e. law of total probability.
To understand better, it is better to solve one task.
Example:
Imagine that we have three boxes. The first one contains 7 red balls, the second one contains 5 green balls and the third one contains 4 green balls and 3 red balls. Calculate the probability that we will randomly pull out red ball.
So, the result is 0.47619048, to find it we should multiply the probability to pick a specific box by the probability to pull out the box from this column.
Takk for tilbakemeldingene dine!
