Answer:
a) We know that the distribution for X is given by: [tex] X \sim Unif (a=10, b=45)[/tex]
The density function for this distirbution is given by:
[tex] f(x) = \frac{1}{b-a}= \frac{1}{45-10}= \frac{1}{35} , 10 \leq X \leq 45[/tex]
So then the height of the uniform density curve would be given by:
[tex] h = \frac{1}{35}= 0.029[/tex]
b) For this case we want to calculate the following probability:
[tex] P(X\leq 20)[/tex]
And we can use the cumulative distribution function given by:
[tex] F(X) =\frac{x-a}{b-a}=\frac{x-10}{35} , 10 \leq X \leq 45[/tex]
And we can calculate the probability like this:
[tex] P(X \leq 20) = F(20) = \frac{20-10}{35}=0.286[/tex]
Step-by-step explanation:
For this case we define our random variable X="Lindsay's late arrival time, in minutes"
Part a
We know that the distribution for X is given by: [tex] X \sim Unif (a=10, b=45)[/tex]
The density function for this distirbution is given by:
[tex] f(x) = \frac{1}{b-a}= \frac{1}{45-10}= \frac{1}{35} , 10 \leq X \leq 45[/tex]
So then the height of the uniform density curve would be given by:
[tex] h = \frac{1}{35}= 0.029[/tex]
Part b
For this case we want to calculate the following probability:
[tex] P(X\leq 20)[/tex]
And we can use the cumulative distribution function given by:
[tex] F(X) =\frac{x-a}{b-a}=\frac{x-10}{35} , 10 \leq X \leq 45[/tex]
And we can calculate the probability like this:
[tex] P(X \leq 20) = F(20) = \frac{20-10}{35}=0.286[/tex]