
David Gwyn J. answered 11/01/20
Highly Experienced Tutor (Oxbridge graduate and former tech CEO)
Normal distribution ("bell curve") tells us what the probability distribution of "hours unsupervised" looks like. The probability relates to the position of the required value on the curve.
For example, the mean (Time = 3 hours unsupervised) is exactly in the middle, and P(T <= 3 hours) = 50%.
You might remember that one standard deviation includes a further 34% of the distribution, so we can say that P(1.2 hours <= T <= 4.8 hours) = 68% and P(T <= 1.2 hours) = 16% and P(T >= 4.8 hours) = 16%.
We need P(T <= 1 hour) which you can see must be slightly more than 1 SD, and hence will be slightly less than 16% (maybe 14% or 15% as a guesstimate).
To find the exact value, we need a Z score, and Z score table.
The Z score just converts our required hours into a number of standard deviations.
Z = (required value - mean) / SD
In our case, Z = (1 - 3) / 1.8 = -2/1.8 = -1.1111
A negative Z score means we are left of the mean, a positive score means we are to the right.
Looking this up in a Z Score table we find the value of 0.1335
Hence our required probability is 13.35% (in line with our guesstimate).
Note: Z for mean = (3-3) /1.8 = 0, and Z score for 0 is 0.5000 = 50% or exactly half of curve to left of middle.