Let x be the aleatory variable representing the number of heads appearing when
tossing a fair coin 5 times.
Using the 'Binomial Distribution': P(x) = 5Cx (1/2)5 , where 5Cx = 5!/[x!(5-x)!]
Then:
P(x=0) = (1/2)5 = 1/32
P(x=1) = 5(1/2)5 = 5/32
P(x=2) = 10(1/2)5 = 10/32
P(x=3) = 10(1/2)5 = 10/32
P(x=4) = 5(1/2)5 = 5/32
P(x=5) = (1/2)5 = 1/32
So the most likely combination of heads-tails to come out are; (3H,2T) and (2H,3T), with a probability of 10/32 (=5/16=0.3125=31.25%) either one.
For any one of these outcomes there are 10 different sequences, each of which has
a probability of happening of 1/32.
If one observes the list of results, it can be inferred that any head-tails sequence
that can be thought of in 5 tosses has the probability of turning out of 1/32.
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The probability of flipping a coin 3 times and getting 3 heads is 1/2
256
50/50 50/50? This is equal to 1 which would imply the probability of flipping a head is certain. Obviously not correct as the probability of flipping a head in a fair dice is 1/2 or 0.5
The probability is 1. I have flipped a coin a lot more than 7 times.
1/8. The probability of flipping a coin three times and it landing on head is 1/2, as a coin only has two sides. You flip a coin three times, therefore the answer is (1/2)^3 = 1/8.