Chebyshev's Theorem has it that (no matter what the distribution of data) at least
(1 − 1/k2) × (100%) of the values will fall within k standard deviations of the
mean (where k is greater than 1).
Here establish
μ + σk equals range upper bound.
μ − σk equals range lower bound.
as
18 + 7.9k = 33.8
18 − 7.9k = 2.2
which simplifies to
15.8k = 31.6 or k = 2.
Then Chebyshev's Theorem gives the least percentage
of mean low temperatures in Rochester between 2.2° & 33.8°
as (1 − 1/22) × (100%) or 3/4 times 100% or 75%.