The time (in minutes) until the next bus departs a major bus depot follows a distribution with f(x) = where x goes from 25 to 45 minutes. O Part (a) O Part (b) O Part (c) O Part (d) Part (e) O Part (f) O Part (g) O Part (h) O Part (i) Find P(25

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I'm having trouble solving the last part of this problem. please explain

The time (in minutes) until the next bus departs a major bus depot follows a distribution with \( f(x) = \frac{1}{20} \) where \( x \) goes from 25 to 45 minutes.

Options:
- Part (a)
- Part (b)
- Part (c)
- Part (d)
- Part (e)
- Part (f)
- Part (g)
- Part (h)
- Part (i)
- Part (j)

Find \( P(25 < x < 55) \). (Enter an exact number as an integer, fraction, or decimal.)
\[ P(25 < x < 55) = 1 \]

State this in a probability statement. (Enter exact numbers as integers, fractions, or decimals.)
The probability of a waiting time between 25 and 55 minutes is [1] , given waiting times \( \sim U([ \, \, ] ) \).
Transcribed Image Text:The time (in minutes) until the next bus departs a major bus depot follows a distribution with \( f(x) = \frac{1}{20} \) where \( x \) goes from 25 to 45 minutes. Options: - Part (a) - Part (b) - Part (c) - Part (d) - Part (e) - Part (f) - Part (g) - Part (h) - Part (i) - Part (j) Find \( P(25 < x < 55) \). (Enter an exact number as an integer, fraction, or decimal.) \[ P(25 < x < 55) = 1 \] State this in a probability statement. (Enter exact numbers as integers, fractions, or decimals.) The probability of a waiting time between 25 and 55 minutes is [1] , given waiting times \( \sim U([ \, \, ] ) \).
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