
David Gwyn J. answered 11/25/20
Highly Experienced Tutor (Oxbridge graduate and former tech CEO)
Normal distribution ("bell curve") with mean = 37.3 seconds and Standard Deviation = 5.6 seconds. For a bell curve, we should remember that, very approximately, 34% lies between mean & 1 SD, with further 14% between 1 & 2 SD (hence most of curve - 96% - lies within 2 SD of mean).
Z-score = (given value - mean) / SD
Negative z-score is left of mean, positive is right of mean. Convert z-score to percentage by looking up in Z-score table.
(1) For P(t < 33.5 seconds)
This is a bit less than 1 SD (=34%) to left of mean, so my guesstimate is 20% (50%-30%). Exact value requires us to calculate the z-score, as follows.
z = (33.5 - 37.3) / 5.6 = -0.68
from z-score table = 0.2483
hence P(t < 33.5 secs) = 24.8%
(2) For P(t > 43.8 seconds)
This is a bit more than 1 SD (34%) to right of mean, so my guesstimate is 10% (50% - 40%).
z = (43.8 - 37.3) / 5.6 = 1.16
from z-score table = 0.1230 (Note: here I looked up -1.16 z-score, using symmetry of bell curve.)
hence P(t < 43.8 secs) = 12.3%
(3) For P(34.7 secs < t < 39.6 secs)
34.7 is about 1/2 SD (left of mean), so 33% (50% - 1/2 of 34%). While 39.6 is also about 1/2 SD (but right of mean), so another 33%. Hence guesstimate of 34% (100-33-33).
z1 = (34.7 - 37.3) / 5.6 = -0.464
from z-score table = 0.3210 = 32.1%
z2 = (39.6 - 37.3) / 5.6 = 0.411
from z-score table = 0.3409 = 34.1% (again, I looked up z-score of -0.411.)
ALL - LESS THAN 34.7 - MORE THAN 39.6 = 100% - 32.1% - 34.1% = 33.8%
Hence P(34.7 secs < t < 39.6 secs) = 33.8%
(4) For P(t < x seconds) = 85%
For my guesstimate, mean is 50% and 1 SD is 34% so this is 84%. 1 SD is 42.9 secs.
(100-85) = 15% = 0.15 z-score table
=> z-score = 1.035
1.035 = (x - 37.3) / 5.6
=> x = 1.035 (5.6) + 37.3 = 43.1 seconds
Hence P(t < 43.1 secs) = 85%