The binomial distribution, written hasExpectation Value
hasExpectation Value Thisis the expected number of successes in n attempts. The variance isgiven by
Thisis the expected number of successes in n attempts. The variance isgiven by  Ifwe want to use the normal distribution as an approximation toestimate
Ifwe want to use the normal distribution as an approximation toestimate forexample – which is very useful when n is large - we must makemodifications since the binomial distribution is a discretedistribution but the normal approximation is continuous.
forexample – which is very useful when n is large - we must makemodifications since the binomial distribution is a discretedistribution but the normal approximation is continuous. 
In order to take account of this, and that if we areestimating maybe equal to 5, when we use the normal approximation
maybe equal to 5, when we use the normal approximation Suppose
Suppose and
and Thenormal approximation is
Thenormal approximation is

Look up the probability corresponding to andsubtract from 1. This returns a probability of 0.0080.
andsubtract from 1. This returns a probability of 0.0080.
 maybe equal to 7, when we use the normal approximation
maybe equal to 7, when we use the normal approximation
 Asabove
Asabove and
and Thenormal approximation is
Thenormal approximation is

Look up the probability corresponding to andsubtract from 1 twice. This returns a probability of 0.9798.
andsubtract from 1 twice. This returns a probability of 0.9798.
 maybe equal to 5, when we use the normal approximation
maybe equal to 5, when we use the normal approximation
 Asabove
Asabove and
and Thenormal approximation is
Thenormal approximation is

Look up the probability corresponding to andsubtract from 1. This returns a probability of 0.0026
andsubtract from 1. This returns a probability of 0.0026
 maybe equal to 5, when we use the normal approximation
maybe equal to 5, when we use the normal approximation
 Asabove
Asabove and
and Thenormal approximation is
Thenormal approximation is

Look up the probability corresponding to andsubtract from 1 twice. This returns a probability of 0.9222.
andsubtract from 1 twice. This returns a probability of 0.9222.