Classical Probability: History & Key Concepts Explained

The classical definition of probability is stated as:

P(A) = \frac{\text{Number of favorable outcomes for event } A}{\text{Total number of possible outcomes}}

Where:

  • P(A) is the probability of event A occurring.
  • The number of favorable outcomes refers to the outcomes in which the event A occurs.
  • The total number of possible outcomes refers to all equally likely outcomes that can occur in the experiment.

For example, when rolling a fair six-sided die, the probability of rolling a 3 is:

P(\text{rolling a 3}) = \frac{1}{6}

Here, the total number of possible outcomes is 6 (one for each face of the die), and there is only 1 favorable outcome (rolling a 3).

Another example: The Socks Drawer Dilemma:

You have a drawer filled with 10 socks, all of which are black, except for one lone red sock. What’s the probability of pulling out the red sock?

P(\text{red sock}) = \frac{1}{10}


Discover more from Science Comics

Subscribe to get the latest posts sent to your email.

Leave a Reply

error: Content is protected !!