The event that either M1 or M2 fails has probability
by the addition rule. Failure events are independent, so
so that
Denote this probability by . Then
follows a geometric distribution with this parameter
and has density
The expectation is .
x < 22.5; Samuel has less than 22.5 minutes to finish the race in the estimated time.
<h3>What amount of time Samuel left for the race?</h3>The given inequality is-
From here, we define the variable x.
x = Number of the minutes left for the race
From here we can find the value of x
We have then:
Hence, Samuel has less than 22.5 minutes to finish the race in the estimated time.
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