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a.) What is the probability that the temperature will be above 21∘?
The density function f(x) is
f(x) = 1/20 for 15 < x < 35 and 0 otherwise.
a)
P(x > 21) = 1 - P(x < 21)
= 1 - integral from 15 to 21 of (1/20) dx = 1 - (6/20) = 7/10.
b.) What is the probability that the temperature will be between 19∘ and 33∘?
b)
P(19 < x < 33) = P(x < 33) - P(x < 19)
a.) What is the probability that the temperature will be above 21∘?
The density function f(x) is
f(x) = 1/20 for 15 < x < 35 and 0 otherwise.
a)
P(x > 21) = 1 - P(x < 21)
= 1 - integral from 15 to 21 of (1/20) dx = 1 - (6/20) = 7/10.
b.) What is the probability that the temperature will be between 19∘ and 33∘?
b)
P(19 < x < 33) = P(x < 33) - P(x < 19)
Using the uniform distribution, it is found that the expected temperature is of 25 ºF.
What is the uniform probability distribution?
It is a distribution with two bounds, a and b, in which each outcome is equally as likely.
The expected value is given by:
[tex]E(X) = \frac{a + b}{2}[/tex]
In this problem, the low temperature for each day of the month tend to have a uniform distribution over the interval 15∘ to 35 ∘F, hence a = 15, b = 35.
Then, the expected value is of:
[tex]E(X) = \frac{a + b}{2} = \frac{15 + 35}{2} = 25[/tex]
More can be learned about the uniform distribution at https://brainly.com/question/13889040