In: Math
7% of Americans have an O negative blood type. A SRS of 400 Americans are surveyed. Using normal approximation to the binomial, what is the approximate probability that at least 34 of them have the o negative blood type?
Please show work!
Let 
 denote the random
variable denoting the number of Americans who have a blood group of
O negative.
It is given that a sample of 400
Americans has been considered and approximately 7% of the Americans
have O negative blood type. Therefore, the random variable
follows the Binomial distribution with parameters 
 and
.

The mean, 
, and the variance, 
, of the random variable X is calculated below:



And,



In the given problem, since, the
value of 
 is quite
large, hence, the normal approximation to the binomial distribution
can be used to calculate the required probabilities.
The binomial random variable,
, will
approximately follow the normal distribution with mean 
and variance 
.
Therefore, 
 follows
 distribution.
Since, a discrete random variable is being approximated to a continuous random variable, hence, continuity correction needs to be used, that is:

The problem of interest is to
calculate the probability that atleast 34 people out of those
surveyed have blood group of O negative. In other words, 
, needs to be determined.
After applying the continuity correction, the problem becomes:

It is known that 
.
Now calculating the required probabilty using the normal distribution as shown below:

Let  
.
Therefore,


The value of the expression
 is calculated using the command "=NORMSDIST()" in MS-Excel. The
screenshot is shown below:

This implies, 
.
Substituing the value of 
 in the following equation:



Hence, it can be concluded that
there is almost 14.06% chance that atleast 34
people out of the 
 people
investigated will possess O negative blood group.