A contractor purchases a shipment of 99 transistors. The way the business works is that the contractor will randomly select and test 10 of these transistors, and keep the shipment only if at least 9 of the 10 are in working condition. If we know that overall, 20% of the transistors have defects (and thus not in working condition), then what is the probability the contractor will keep all the transistors?

the probability that the contractor keeps the transistors is 37.58%

Step-by-step explanation:

Since each transistor is equally likely to the chosen , then the random variable X= transistors that have defects from a sample of 10 , has a binomial distribution . Thus its probability is calculated through:

P(X=x) = n!/((n-x)!*x!)*p^x*(1-p)^(n-x)

where

n= sample size = 10

p= probability for any transistor to be defective = 0.2 (20%)

x= number of transistors that are defective

P(X=x) = probability that there are x transistors that are defective

thus replacing values and knowing that only 0 or 1 can be defective in order to have at least 9 working transistors:

P(X≤1)= P(X=1)+P(X=0)

this is equivalent to

P(X≤1)= F(X=1)

where F(X) is the cummulative binomial probability distribution. From tables can be found that

P(X≤1)= F(X=1)= 0.3758 (37.58%)

thus the probability that the contractor keeps the transistors is 37.58%

b. 1.25 hr

step-by-step explanation:

if you have a constant speed of 60 mph, then you have a ratio between 60 mi. to 1 hr. dividing both sides by 60 we get the ratio

1 mi. to

then mult. both sides by 75 we get the ratio

75 mi. to

simplifying we get

75 mi. to

or 1.25 hr.

how much is coupon

step-by-step explanation: