Empirical and theoretical probability are essential concepts in Statistics. Theoretical probability is calculated using known formulas, assuming all outcomes are equally likely—like the chance of rolling a 6 on a fair die. Empirical probability, on the other hand, is based on actual experiments or observed data. It reflects real-world outcomes and may vary with each trial. Understanding both types helps in analyzing patterns, making predictions, and solving problems in fields like science, business, and daily life.
Empirical probability, also known as experimental probability, is the probability of an event based on actual data or experiments, rather than theory or assumptions.
It is calculated by observing how often an event occurs in a number of trials or experiments.
Example 1: A coin is tossed 100 times. It lands on heads 56 times. What is the empirical probability of getting a head?
Solution:
Example 2: A student rolls a die 60 times and observes that the number "4" appears 12 times. Find the empirical probability of rolling a 4.
Solution:
Example 3: A biased coin is tossed 1000 times and it shows heads 430 times. Estimate the empirical probability of getting a tail.
Solution:
Total trials = 1000
Number of heads = 430
Number of tails = 1000 – 430 = 570
Example 4: A student rolls a die 600 times and records the following results:
Find the empirical probability of getting a number less than or equal to 3.
Solution:
Favorable outcomes = Frequency of 1 + 2 + 3 = 95 + 100 + 105 = 300
Total trials = 600
Example 5: In a survey conducted among 800 students, 640 preferred Mathematics over Physics. Estimate the empirical probability that a randomly selected student prefers Mathematics.
Solution:
Theoretical Probability is the probability that an event will occur based on mathematical reasoning and known outcomes. It assumes that all outcomes are equally likely.
Example 1: What is the probability of rolling a 3 on a fair 6-sided die?
Solution:
Example 2: A card is drawn from a standard deck of 52 cards. Find the probability of drawing a King.
Solution:
There are 4 Kings in a deck.
Example 3: A number is selected at random from the first 100 natural numbers. What is the probability that the number is divisible by 6 or 8?
Solution:
Using inclusion-exclusion:
Example 4: Two cards are drawn from a well-shuffled deck of 52 cards without replacement. Find the probability that both cards are aces.
Solution:
Favorable outcomes:
Example 5: A point is selected randomly inside a square of 10 units. What is the probability that the point lies within a circle of radius 5 units inscribed in the square?
Solution:
Example 6: A number is selected at random from the set {1, 2, 3, ..., 1000}. What is the probability that it is divisible by both 4 and 6?
Solution:
LCM of 4 and 6 = 12
Count of numbers divisible by 12 =
Also Check: Probability and Statistics previous year questions with solutions
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(Session 2025 - 26)