In: Statistics and Probability
Y ∼ N (10, 36), What are probabilities of...
1. Y > 10
2. Y > 11
3. |Y − 11| > 1
4. Y/2 > 5
5. Y/2 > 4
6. |(Y/2) − 4| > 1
We would be looking at the first 4 parts here as:
We are given the distribution here as:
a) The probability here is computed as:
P(Y > 10)
As 10 is the mean and normal distribution is symmetric about its
mean, therefore:
P(Y > 10) = P(Y < 10) = 0.5
Therefore 0.5 is the required probability here.
b) The probability here is computed as:
P(Y > 11)
Converting it to a standard normal variable, we get here:
Getting it from the standard normal tables, we get here:
Therefore 0.4338 is the required probability here.
c) The probability here is computed as:
This can be also written as:
Converting it to a standard normal variable, we get here:
Getting it from the standard normal tables, we get here:
Therefore 0.8694 is the required prob. here.
d) P(Y / 2 > 5)
= P(Y > 10)
Already computed in the first part as 0.5
Therefore 0.5 is the required prob. here.