The binomial distribution is a discrete probability distribution that models the number of successes in a fixed number of independent Bernoulli trials. Each trial has the same probability of success.
The probability mass function of the binomial distribution is given by:
\[P(X = k) = \binom{n}{k} p^k (1-p)^{n-k}\]
Where:
Let's calculate the probability of getting exactly 3 heads in 5 coin tosses (assuming a fair coin).
Step 1: Calculate \(\binom{5}{3} = \frac{5!}{3!(5-3)!} = 10\)
Step 2: Calculate \(0.5^3 = 0.125\)
Step 3: Calculate \(0.5^{5-3} = 0.5^2 = 0.25\)
Step 4: Multiply: \(10 \times 0.125 \times 0.25 = 0.3125\)
Therefore, the probability of getting exactly 3 heads in 5 tosses of a fair coin is 0.3125 or 31.25%.
This bar graph represents the binomial distribution for 5 coin tosses. Each bar represents the probability of getting a specific number of heads, from 0 to 5.
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