To answer this question, we can use the standard normal distribution to find the probability for x > 120. We can proceed as follows:
1. We need to find the z-score for the given raw value of 120.
2. We know that the z-score is given by:

Where
• x is the raw value (x = 120).
,
• μ is the population's mean. In this case, μ = 109.
,
• σ is the population standard deviation. In this case, σ = 11.
Therefore, we have that the z-score is:

We can see that the value for z = 1. It means that the value is one standard deviation above the mean of the population.
If we use a cumulative standard normal distribution table, and we find the value for z = 1, we will have a cumulative probability of:

However, we are looking for P(z > 1). Therefore, to find this value, we can proceed as follows:

Therefore:

We need to remember that this value of z is a "transformation" of the value 120 into the standard normal distribution.
In summary, we can say that:
