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.