Probability means the chances of the number of occurrences of an event. In simple language, it is the possibility that an event will occur or not. The concept of probability can be applied to some experiments like coin tossing, dice throwing, and playing cards, etc.
Intro to the Theoretical Probability
Imagine you have planned to play cricket and you all gathered on the ground and for starting the match you flipped a coin. As soon as the coin flipped, it touches the sky’s limit and lands down due to Newton’s law of Gravity. Over-Enthusiastic rival captain on the other side yelled Tails but it comes up to be Heads. Hurray!! You won the toss. I know You have tossed a coin much countless time as possible but have you ever thought you were actually experimenting with a mathematical approach called Probability. Yeah, It’s Probability!
How flipping a coin relates to Probability?
As soon as you flipped a coin, the result is random. It maybe tails or heads. (I know the coin can land on the edges but we are neglecting this case for the sake of simplification). From all possible outcomes, we can say the outcomes Heads and Tails are equally likely.
Theoretical and Experimental Probabilities
Theoretical Probability deals with assumptions in order to avoid unfeasible or expensive repetition experiments. Theoretical Probability for an Event A can be calculated as follows:
P(A) = Number of outcomes favorable to Event A / Number of all possible outcomes
Note: Here we assume the outcomes of an event as equally likely.
Now, as we learn the formula, let’s put this formula in our coin-tossing case. In tossing a coin, there are two outcomes: Head or Tail. Hence, The Probability of occurrence of Head on tossing a coin is
P(H) = 1/2
Similarly, The Probability of occurrence of Tail on tossing a coin is
P(T) = 1/2
Experimental Probability is found by repeating the experiment and observing outcomes. Experimental Probability for an Event A can be calculated as follows:
P(E) = Number of trials taken in which event A happened / Total number of trials
Now, as we learn the formula, let’s put this formula in our coin-tossing case. If we tossed a coin for 10 times and recorded heads for 4 times and a tail for 6 times then the Probability of Occurrence of Head on tossing a coin:
P(H) = 4/10
Similarly, Probability of Occurrence of Tails on tossing a coin:
P(T) = 6/10
Let’s take some examples to better understand the theoretical probability.
Question 1: Consider we have a jar with 7 red marbles, 3 green marbles, and 4 blue marbles. What is the probability of randomly selecting a non-blue marble from the jar?
Now we have Red Marbles = 7, Green Marbles = 3, Blue Marbles = 4
So, Total number of possible outcomes in this case: 7 + 3 + 4 = 14
Now, Number of non-blue marbles are: 7 + 3 = 10
According to the formula of theoretical Probability we can find, P(H) = 10/14 = 5/7
Hence, We calculate the theoretical probability of non-blue marble as 5/7.
Question 2: Consider Two players, Naveena and Isha, play a table tennis match. The probability of Naveena winning the match is 0.76. What is the probability of Isha winning the match?
Let N and M represent the events that Naveena wins the match and Ashlesha wins the match, respectively.
The probability of Naveena’s winning = P(N) = 0.62 (given)
The probability of Isha’s winning = P(I) = 1 – P(N)
P(I) = 1 – 0.62 = 0.38
Thus, the Probability of Isha winning the match is 0.38.
Question 3: If you take out one card from a 52 card deck, what is the probability of the card be a heart? What is the probability that you are dealt a 7? What is the probability that you have drawn the three of hearts?
There are 13 hearts in a deck of 52 cards. P(heart) = 13/52 = 1/4
There are 4 sevens in the deck of 52. P(three) = 4/52 = 1/13
There are only one three of hearts. P(seven and heart) = 1/52
Question 4: Find the probability of rolling an even number when you roll a die containing the numbers 1-6. Express the probability as a fraction, decimal, ratio, and percent?
We know that, Out of 1 to 6, The possible even numbers are 2, 4, 6.
The number of favorable outcomes = 3.
Total number of outcomes = 6
The probability = 1/2 (fraction) = 0.5 (decimal) = 1 : 2 (ratio) = 50% (percent)