It is given information that in testing a certain kind of truck tire over a rugged terrain, it is found that 25% of the trucks fail to complete the test run without a blowout.
Let X denote the random variable representing the number of trucks having blowouts during the test run out of next 15 trucks tested.
Let us consider a truck having a blowout during the test run as a success.
Therefore, probability of a success in each trial is p = 0.25
n = 15
Since the trials are independent so, X ~ Bin(n,p)
The probability mass function (p.m.f) is
P (X=x) = b(x;15,0.25), where x = 0, 1, 2,…,15
=(x15)(0.25)x(1−0.25)15−x
=(x15)(0.25)x(0.75)15−x , where x = 0, 1, 2,…,15
(a) Compute the probability that the next 15 trucks tested from 3 to 6 have blowouts.
P(3≤X≤6)=P(X=3)+P(X=4)+P(X=5)+P(X=6)=(315)(0.25)3(0.75)15−3+(415)(0.25)4(0.75)15−4+(515)(0.25)5(0.75)15−5+(615)(0.25)6(0.75)15−6=0.2252+0.2252+0.1651+0.0917=0.707
Therefore, the probability that the next 15 trucks tested from 3 to 6 have blowouts is 0.707.
(b) Compute the probability that the next 15 trucks tested fewer than 4 have blowouts.
P(X<4)=P(X≤3)=P(X=0)+P(X=1)+P(X=2)+P(X=3)=(015)(0.25)0(0.75)15−0+(115)(0.25)1(0.75)15−1(215)(0.25)2(0.75)15−2+(315)(0.25)3(0.75)15−3=0.0134+0.0668+0.1559+0.2252=0.4613
Therefore, the probability that the next 15 trucks tested fewer than 4 have blowouts is 0.4613.
(c) Compute the probability that the next 15 trucks tested more than 5 have blowouts.
P(X>5)=1−P(X≤5)=1−(P(X=0)+P(X=1)+P(X=2)+P(X=3)+P(X=4)+P(X=5))=1−((015)(0.25)0(0.75)15−0+(115)(0.25)1(0.75)15−1(215)(0.25)2(0.75)15−2+(315)(0.25)3(0.75)15−3+(415)(0.25)4(0.75)15−4+(515)(0.25)5(0.75)15−5)=1−(0.0134+0.0668+0.1559+0.2252+0.2252+0.1651)=0.1484
Therefore, the probability that the next 15 trucks tested more than 5 have blowouts is 0.1484.
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(a) Determine the roots of f(x) = −13 − 20x + 19x2 − 3x3 graphically. In addition, determine the first root of the function with (b) bisection, and (c) false position. For (b) and (c) use initial guesses of xl = −1 and xu = 0, and a stopping criterion of 1%.