Question #289016

If three coins are tossed, what are the mean, variance, and standard deviation of the number of heads that occur?


Expert's answer

We assume that the probabilities of getting heads and tails are the same

p=q=12p = 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(x=0)=q3=18P\left( {x = 0} \right) = {q^3} = \frac{1}{{8}}

P(x=1)=C31pq2=38P(x = 1) = C_3^1p{q^2} = \frac{3}{{8}}

P(x=2)=C32p2q=38P(x= 2) = C_3^2{p^2}{q} = \frac{3}{{8}}

P(x=3)=p3=18P\left( {x = 3} \right) = {p^3} = \frac{1}{{8}}

We have a distribution series


So, the mean is

M(x)=xipi=01+13+23+318=128=32M(x) = {\sum x _i}{p_i} = \frac{{0 \cdot 1 + 1 \cdot 3 + 2 \cdot 3 + 3 \cdot 1}}{8} = \frac{{12}}{8} = \frac{3}{2}

The variance is

V(x)=M(x2)M2(x)=01+13+43+91894=34V(x) = M\left( {{x^2}} \right) - {M^2}(x) = \frac{{0 \cdot 1 + 1 \cdot 3 + 4 \cdot 3 + 9 \cdot 1}}{8} - \frac{9}{4} = \frac{3}{4}

standard deviation is

σ(x)=V(x)=32\sigma \left( x \right) = \sqrt {V(x)} = \frac{{\sqrt 3 }}{2}

Answer: M(x)=32M(x) = \frac{3}{2} ; V(x)=34V(x) = \frac{3}{4} ; σ(x)=32\sigma \left( x \right) = \frac{{\sqrt 3 }}{2}


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