Question #289016

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


1
Expert's answer
2022-01-20T13:45:59-0500

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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