μ = n p = 50 ( 0.4 ) = 20 \mu=np=50(0.4)=20 μ = n p = 50 ( 0.4 ) = 20
σ 2 = n p q = 50 ( 0.4 ) ( 1 − 0.4 ) = 12 \sigma^2=npq=50(0.4)(1-0.4)=12 σ 2 = n pq = 50 ( 0.4 ) ( 1 − 0.4 ) = 12
σ = 12 = 2 3 \sigma=\sqrt{12}=2\sqrt{3} σ = 12 = 2 3
Continuity Correction Factor
Using Binomial DistributionUsing Normal Distribution with Continuity Correction P ( X ≤ 5 ) P(X\leq 5) P ( X ≤ 5 )
Using Normal Distribution with Continuity Correction
P ( X < 5.5 ) = P ( Z < 5.5 − 20 2 3 ) P(X<5.5)=P(Z<\dfrac{5.5-20}{2\sqrt{3}}) P ( X < 5.5 ) = P ( Z < 2 3 5.5 − 20 )
≈ P ( Z < − 4.18579 ) ≈ 0.00001421 \approx P(Z<-4.18579)\approx0.00001421 ≈ P ( Z < − 4.18579 ) ≈ 0.00001421
Using Binomial DistributionUsing Normal Distribution with Continuity Correction P ( X ≤ 15 ) P(X\leq 15) P ( X ≤ 15 )
Using Normal Distribution with Continuity Correction
P ( X < 15.5 ) = P ( Z < 15.5 − 20 2 3 ) P(X<15.5)=P(Z<\dfrac{15.5-20}{2\sqrt{3}}) P ( X < 15.5 ) = P ( Z < 2 3 15.5 − 20 )
≈ P ( Z < − 1.299038 ) ≈ 0.096965 \approx P(Z<-1.299038)\approx0.096965 ≈ P ( Z < − 1.299038 ) ≈ 0.096965
Using Binomial DistributionUsing Normal Distribution with Continuity Correction P ( 5 ≤ X ≤ 15 ) = P ( X ≤ 15 ) − P ( X < 5 ) P(5\leq X\leq 15)=P(X\leq 15)-P(X<5) P ( 5 ≤ X ≤ 15 ) = P ( X ≤ 15 ) − P ( X < 5 )
Using Normal Distribution with Continuity Correction
P ( X < 15.5 ) − P ( X < 4.5 ) P(X<15.5)-P(X<4.5) P ( X < 15.5 ) − P ( X < 4.5 )
= P ( Z < 15.5 − 20 2 3 ) − P ( Z < 4.5 − 20 2 3 ) =P(Z<\dfrac{15.5-20}{2\sqrt{3}})-P(Z<\dfrac{4.5-20}{2\sqrt{3}}) = P ( Z < 2 3 15.5 − 20 ) − P ( Z < 2 3 4.5 − 20 )
≈ P ( Z < − 1.299038 ) − P ( Z < − 4.474465 ) \approx P(Z<-1.299038)-P(Z<-4.474465) ≈ P ( Z < − 1.299038 ) − P ( Z < − 4.474465 )
≈ 0.096965 − 0.00000383 \approx0.096965-0.00000383 ≈ 0.096965 − 0.00000383
≈ 0.096961 \approx0.096961 ≈ 0.096961
Using Binomial DistributionUsing Normal Distribution with Continuity Correction P ( 5 < X < 15 ) = P ( X < 15 ) − P ( X ≤ 5 ) P(5< X<15)=P(X< 15)-P(X\leq5) P ( 5 < X < 15 ) = P ( X < 15 ) − P ( X ≤ 5 )
Using Normal Distribution with Continuity Correction
P ( X < 14.5 ) − P ( X < 5.5 ) P(X<14.5)-P(X<5.5) P ( X < 14.5 ) − P ( X < 5.5 )
= P ( Z < 14.5 − 20 2 3 ) − P ( Z < 5.5 − 20 2 3 ) =P(Z<\dfrac{14.5-20}{2\sqrt{3}})-P(Z<\dfrac{5.5-20}{2\sqrt{3}}) = P ( Z < 2 3 14.5 − 20 ) − P ( Z < 2 3 5.5 − 20 )
≈ P ( Z < − 1.587713 ) − P ( Z < − 4.18579 ) \approx P(Z<-1.587713)-P(Z<-4.18579) ≈ P ( Z < − 1.587713 ) − P ( Z < − 4.18579 )
≈ 0.05617565 − 0.00001421 \approx0.05617565-0.00001421 ≈ 0.05617565 − 0.00001421
≈ 0.05616144 \approx0.05616144 ≈ 0.05616144
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