Concept:
Binomial probability refers to probability of exactly ‘r’ success in ‘n’ number of trials of a experiment which has two possible outcomes.
If the probability of success is ‘p’ in individual trial and the probability of failure is ‘q’ then
P(r) = nCr prqn-
Where, n = no. of trials, p = probability of success of random variable, q = probability of failure of random variable, r = number of occurrence of random variable
Calculation:
Probability of 4 heads in first 10 tosses and 4 tails in next ten tosses will be given by
P (4 head in 10 tosses) × P (4 tail in 10 tosses)
Probability of 4 heads in first 10 tosses
n = 10, \({\rm{p\;}} = {\rm{\;}}\frac{1}{2},\;q = 1 - \frac{1}{2} = \frac{1}{2}\), r = 4
P (4 head in 10 tosses) = 10C4 × 0.54 × 0.56 = 0.205
Probability of 4 tails in last 10 tosses
n = 10, \({\rm{p\;}} = {\rm{\;}}\frac{1}{2},\;q = 1 - \frac{1}{2} = \frac{1}{2}\), r = 4
P (4 tail in 10 tosses) = 10C4 × 0.54 × 0.56 = 0.205
∴ Probability of 4 heads in first 10 tosses and 4 tails in next ten tosses = 0.205 × 0.205 = 0.0420