To solve this problem, we need to first calculate the z-score, and then determine whether the score is "usual" or "unusual".
Step 1: Calculate the z-score
The z-score is a measurement of how many standard deviations an element is from the mean. The formula to calculate the z-score is:
z = (X - μ) / σ
Where:
X = the element or the score that we're looking at, which in this case is 14
μ = the mean, which is 20
σ = the standard deviation, which is 28
Substituting these values into the formula we get:
z = (14 - 20) / 28
=> z = -6 / 28
=> z = -0.21428571428571427
Step 2: Determine if the score is "usual" or "unusual"
Generally in a normal distribution, a "usual" z-score falls within the range of -2 and +2 standard deviations from the mean, anything beyond this is considered "unusual".
In our case, the z score is -0.21428571428571427 which falls within the range of -2 and +2 hence we can say it's "usual".
From the choices given, none of the options provided are correct as per our calculations.