The probability of getting a head when a coin is tossed 1 time: p = 0.5. p=0.5. p = 0.5.
Let's find the mean:
μ = n p = 400 ⋅ 0.5 = 200. \mu=np=400\cdot0.5=200. μ = n p = 400 ⋅ 0.5 = 200.
The standard deviation:
σ = n p ( 1 − p ) = 400 ⋅ 0.5 ⋅ ( 1 − 0.5 ) = 100 = 10. \sigma=\sqrt{np(1-p)}=\sqrt{400\cdot 0.5 \cdot (1-0.5)}=\sqrt{100}=10. σ = n p ( 1 − p ) = 400 ⋅ 0.5 ⋅ ( 1 − 0.5 ) = 100 = 10.
(a) The probability of obtaining between 185 and 210 heads inclusive:
P ( 185 ≤ X ≤ 210 ) = P ( 184.5 < X < 210.5 ) . P(185\leq X \leq 210)=P(184.5 < X < 210.5). P ( 185 ≤ X ≤ 210 ) = P ( 184.5 < X < 210.5 ) .
Let's find z-scores of 184.5 and 210.5:
z 1 = 184.5 − 200 10 = − 15.5 10 = − 1.55 , z_1=\frac{184.5-200}{10}=\frac{-15.5}{10}=-1.55, z 1 = 10 184.5 − 200 = 10 − 15.5 = − 1.55 ,
z 2 = 210.5 − 200 10 = 10.5 10 = 1.05. z_2=\frac{210.5-200}{10}=\frac{10.5}{10}=1.05. z 2 = 10 210.5 − 200 = 10 10.5 = 1.05.
Now we have to use z-table.
P ( 184.5 < X < 210.5 ) = P ( − 1.55 < z < 1.05 ) = 0.8531 − 0.0606 = 0.7925. P(184.5 < X < 210.5)=P(-1.55<z<1.05)=0.8531-0.0606=0.7925. P ( 184.5 < X < 210.5 ) = P ( − 1.55 < z < 1.05 ) = 0.8531 − 0.0606 = 0.7925.
(b) The probability of obtaining exactly 205 heads:
P ( X = 205 ) = P ( 204.5 < x < 205.5 ) . P(X=205)=P(204.5<x<205.5). P ( X = 205 ) = P ( 204.5 < x < 205.5 ) .
Let's find z-scores of 204.5 and 205.5:
z 1 = 204.5 − 200 10 = 4.5 10 = 0.45 , z_1=\frac{204.5-200}{10}=\frac{4.5}{10}=0.45, z 1 = 10 204.5 − 200 = 10 4.5 = 0.45 ,
z 2 = 205.5 − 200 10 = 5.5 10 = 0.55. z_2=\frac{205.5-200}{10}=\frac{5.5}{10}=0.55. z 2 = 10 205.5 − 200 = 10 5.5 = 0.55.
Now we have to use z-table.
P ( 204.5 < x < 205.5 ) = P ( 0.45 < z < 0.55 ) = 0.7088 − 0.6736 = 0.0352. P(204.5<x<205.5)=P(0.45<z<0.55)=0.7088-0.6736=0.0352. P ( 204.5 < x < 205.5 ) = P ( 0.45 < z < 0.55 ) = 0.7088 − 0.6736 = 0.0352.
(c) The probability of obtaining fewer than 176 or more than 227 heads:
P ( X < 176 o r x > 227 ) = P ( X < 175.5 o r x > 227.5 ) = P(X<176 \: or \: x>227)=P(X<175.5 \: or \: x>227.5)= P ( X < 176 or x > 227 ) = P ( X < 175.5 or x > 227.5 ) =
= P ( X < 175.5 ) + P ( x > 227.5 ) . =P(X<175.5)+P(x>227.5). = P ( X < 175.5 ) + P ( x > 227.5 ) .
Let's find z-scores of 175.5 and 227.5:
z 1 = 175.5 − 200 10 = − 24.5 10 = − 2.45 , z_1=\frac{175.5-200}{10}=\frac{-24.5}{10}=-2.45, z 1 = 10 175.5 − 200 = 10 − 24.5 = − 2.45 ,
z 2 = 227.5 − 200 10 = 27.5 10 = 2.75. z_2=\frac{227.5-200}{10}=\frac{27.5}{10}=2.75. z 2 = 10 227.5 − 200 = 10 27.5 = 2.75.
Then we have:
P ( X < 175.5 ) + P ( x > 227.5 ) = P ( z < − 2.45 ) + P ( z > 2.75 ) = P(X<175.5)+P(x>227.5)=P(z<-2.45)+P(z>2.75)= P ( X < 175.5 ) + P ( x > 227.5 ) = P ( z < − 2.45 ) + P ( z > 2.75 ) =
= 0.0071 + ( 1 − 0.9970 ) = 0.0071 + 0.003 = 0.0101. =0.0071+(1-0.9970)=0.0071+0.003=0.0101. = 0.0071 + ( 1 − 0.9970 ) = 0.0071 + 0.003 = 0.0101.
Answer: (a) 0.7925 (b) 0.0352 (c) 0.0101
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