Four coins are tossed. Let Z be the random variable representing the number of tails.
We assume that the probabilities of getting heads and tails are the same
"p = q = \\frac{1}{2}"
Using the Bernoulli formula, we find the probabilities that there will be 0, 1, 2, 3 and 4 tails, respectively
"P\\left( {z = 0} \\right) = {q^4} = \\frac{1}{{16}}"
"P(z = 1) = C_4^1p{q^3} = \\frac{4}{{16}} = \\frac{1}{4}"
"P(z = 2) = C_4^2{p^2}{q^2} = \\frac{6}{{16}} = \\frac{3}{8}"
"P(z = 3) = C_4^3{p^3}q = \\frac{4}{{16}} = \\frac{1}{4}"
"P\\left( {z = 4} \\right) = {p^4} = \\frac{1}{{16}}"
We have a distribution series
We assume that the probabilities of getting heads and tails are the same
"p = q = \\frac{1}{2}"
Using the Bernoulli formula, we find the probabilities that there will be 0, 1, 2, 3 and 4 heads, respectively
"P\\left( {z = 0} \\right) = {q^4} = \\frac{1}{{16}}"
"P(z = 1) = C_4^1p{q^3} = \\frac{4}{{16}} = \\frac{1}{4}"
"P(z = 2) = C_4^2{p^2}{q^2} = \\frac{6}{{16}} = \\frac{3}{8}"
"P(z = 3) = C_4^3{p^3}q = \\frac{4}{{16}} = \\frac{1}{4}"
"P\\left( {z = 4} \\right) = {p^4} = \\frac{1}{{16}}"
We have a distribution series
We assume that the probabilities of getting heads and tails are the same
"p = q = \\frac{1}{2}"
Using the Bernoulli formula, we find the probabilities that there will be 0, 1, 2, 3 and 4 heads, respectively
"P\\left( {z = 0} \\right) = {q^4} = \\frac{1}{{16}}"
"P(z = 1) = C_4^1p{q^3} = \\frac{4}{{16}} = \\frac{1}{4}"
"P(z = 2) = C_4^2{p^2}{q^2} = \\frac{6}{{16}} = \\frac{3}{8}"
"P(z = 3) = C_4^3{p^3}q = \\frac{4}{{16}} = \\frac{1}{4}"
"P\\left( {z = 4} \\right) = {p^4} = \\frac{1}{{16}}"
We have a distribution series
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