In: Statistics and Probability
In studies for a? medication, 77 percent of patients gained weight as a side effect. Suppose 513 patients are randomly selected. Use the normal approximation to the binomial to approximate the probability that
?(a) exactly 20 patients will gain weight as a side effect.
?(b) 20 or fewer patients will gain weight as a side effect.
?(c) 42 or more patients will gain weight as a side effect.
?(d) between 20 and 50?, ?inclusive, will gain weight as a side effect.
Here, we are given the distribution as:
This can be approximated to a normal distribution as:
a) The required probability here is computed as:
Applying continuity correction, we get:
Converting this to a standard normal variable, we get:
As the z values in the above case are very very high, the above probability is approximately equal to 0
Therefore 0 is the required probability here.
b) The probability here is computed as:
Applying the continuity correction, we get:
Converting this to a standard normal variable, we get:
Again the z score here is very large, and so approximately probability is 0
Therefore 0 is the required probability here.
c) The required probability here is computed as:
Applying the continuity correction factor, we get:
Converting this to a standard normal variable, we get:
As the z value here is very very low, therefore the approximate probability above would be 1
Therefore 1 is the required probability here.
b) Again using the same method as above, we have here:
P( 20 <= X <= 50 )
Again as the z scores would be very very low, the approximate probability here would be 0
Therefore 0 is the required probability here.