Coin Toss Probability Calculator

Coin Toss Probability Calculator is a free online tool that displays the probability of getting the head or a tail when the coin is tossed. BYJU’S online coin toss probability calculator makes the calculations faster and gives the probability value in a fraction of seconds.

How to Use the Coin Toss Probability Calculator?

The procedure to use the coin toss probability calculator is as follows:

Step 1: Enter the number of tosses and the probability of getting head value in a given input field

Step 2: Click the button “Submit” to get the probability value

Step 3: The probability of getting the head or a tail will be displayed in the new window

What is Probability?

In Mathematics, a probability is a branch that deals with calculating the likelihood of the occurrence of the given event. The probability value is expressed between the value 0 and 1. Let us take the coin toss experiment. In this experiment, each coin toss is an independent event because the outcome of the one trial does not affect the outcome of the subsequent trials. If you toss a coin, the probability of getting head and tail is ½ and ½, respectively.

Standard Form

The standard formula to describe the probability is given as follows:

Probability of an Event = Number of Favourable Events/ Total Number of Possible Outcomes

Frequently Asked Questions on Coin Toss Probability Calculator

Mention the types of probability.

The different types of probability are:

  • Classical Probability
  • Conditional Probability
  • Unconditional Probability
  • Experimental Probability
  • Theoretical Probability
  • Markov Chain Probability

What are the two basic rules of probability?

The two basic rules of probability are:

Rule 1: The probability values always lie between 0 and 1. (i.e.) 0 ≤ P (A) ≤ 1

Rule 2: The sum of the probability of all the possible outcomes of an event is equal to 1

What is meant by dependent and independent events in probability?

Two events are said to be dependent if the result of the first event affects the result of the second event. If two events are said to be independent, then the outcome of the first experiment does not affect the outcome of the second experiment.

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