Question #158579

Assume that the mean life of a particular brand of car battery is normally distributed with a mean of 28 months and a standard variation of 4 months.


(a) for a randomly selected battery of this make, what is the probability that it will last between 30 and 34 months?.

(b) what is the probability that a randomly selected battery of this make will fail within years of date of purchase?.


(c) after what time period will 60% of all batteries of this makes fail?.



1
Expert's answer
2021-02-01T10:47:50-0500

Solution:


a) To solve this task we need to find the following probability:


P{30ξ34}P\{30 \leq \xi \leq 34\}


To perform this we will use the Laplace integral table, but to do this we will need the following transformation:


P{x1ξx2}=P{(x1a)/σ(ξa)/σ(x2a)/σ}=Φ0((x2a)/σ)Φ0((x1a)/σ).P \{x_1 \leq \xi \leq x_2\} = P \{ (x_1-a)/\sigma \leq (\xi - a)/ \sigma \leq (x_2 - a)/\sigma\} = \Phi_0((x_2 - a)/ \sigma) - \Phi_0((x_1 - a)/\sigma).


Where a - expected value (mean), a = 28;

σ=stddev=4\sigma = std dev = 4

x1=30,x2=34x_1 = 30, x_2=34

From it, we get:

Φ0((3428)/4)Φ0((3028)/4)=Φ0(6/4)Φ0(2/4)=\Phi_0((34-28)/4) - \Phi_0((30-28)/4) = \Phi_0(6/4) - \Phi_0(2/4) =

=Φ0(1.5)Φ0(0.5)== \Phi_0(1.5) - \Phi_0(0.5) = by the table of Laplace Integrals ==

=0.43320.1915=0.2417= 0.4332 - 0.1915 = 0.2417


b) In this task, we need to find if battery fails within a year. It is the same as the probability of a car to live less than or equal to a year:


P{ξ12}P \{ \xi \leq12\} , because 1 year = 12 months


Actually, a car battery can not live for less 0 months, so we get lower boundary for our random variable:


P{0ξ12}P \{0 \le \xi \le 12 \}


Using the same logic, as in part a) we get x2=12,x1=0x_2 = 12, x_1 = 0 , and:


P{0ξ12}=Φ0((1228)/4)Φ0((028)/4)=P \{0 \le \xi \le 12 \} = \Phi_0((12 - 28)/4) - \Phi_0((0-28)/4) =

=Φ0((16)/4)Φ0((28)/4)=Φ0((4))Φ(7)== \Phi_0((-16)/4) - \Phi_0((-28)/4) = \Phi_0((-4)) -\Phi(-7) =

Then, we will use the fact that Φ0(x)=Φ0(x)\Phi_0(-x) = -\Phi_0(x)

=Φ0(4)(Φ0(7))=Φ0(7)Φ0(4)== -\Phi_0(4) - (-\Phi_0(7)) = \Phi_0(7) - \Phi_0(4) = from the table ==

=0.499990.49996=0.00003= 0.49999 - 0.49996=0.00003

since all the values of Φ0(x),x>5\Phi_0(x), x>5 are considered to be 0.49999


c) This problem can be restated as follows: probability that car battery lives for x months is 0.4. Therefore, it fails with 0.6 chance

Find x

It gives us this expression:


P{0ξx}=0.4P \{0 \le \xi \le x\} =0.4


Rewriting the left part:


P{0ξx}=Φ0((x28)/4)Φ0((028)/4)=P \{0 \le \xi \le x\} = \Phi_0((x-28)/4) - \Phi_0((0-28)/4) =


from previous task, for 0 months we get:


=Φ0((x28)/4)+Φ0(7)=0.4= \Phi_0((x-28)/4) + \Phi_0(7) = 0.4

Φ0((x28)/4)+0.49999=0.4\Phi_0((x-28)/4) + 0.49999 = 0.4

Φ0((x28)/4)=0,09999\Phi_0((x-28)/4) = -0,09999

Φ0((x28)/4)=0.09999-\Phi_0((x-28)/4) = 0.09999

Then, remembering the formula:

Φ0(x)=Φ0(x)-\Phi_0(x) = \Phi_0(-x)

We get:

Φ0((28x)/4)=0.09999\Phi_0((28-x)/4) = 0.09999


Using the Laplace table, getting slightly bigger value Φ0(0.26)=1.026\Phi_0(0.26) = 1.026 :


(28x)/4=0.26(28-x)/4 = 0.26

28x=1.0428-x = 1.04

x=26.94x = 26.94


Answer:


a) 0.2417

b) 0.00003

c) 26.94


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