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Mazyrski [523]
3 years ago
8

Car colors preference change over the years and according to the particular model that the customer selects. In a recent year, 1

0% of all luxury cars sold were black. If 25 cars of that year and type are randomly selected, find the probabilitiy that at most six cars are black.
Mathematics
1 answer:
Margarita [4]3 years ago
7 0

Answer:

99.05% probabilitiy that at most six cars are black.

Step-by-step explanation:

For each luxury car, there are only two possible outcomes. Either it is black, or it is not black. The probability of a luxury car being black is independent from other luxury cars. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

In this problem we have that:

p = 0.1, n = 25

If 25 cars of that year and type are randomly selected, find the probabilitiy that at most six cars are black.

P(X \leq 6) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5) + P(X = 6)

In which

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 0) = C_{25,0}.(0.1)^{0}.(0.9)^{25} = 0.0718

P(X = 1) = C_{25,1}.(0.1)^{1}.(0.9)^{24} = 0.1994

P(X = 2) = C_{25,2}.(0.1)^{2}.(0.9)^{23} = 0.2659

P(X = 3) = C_{25,3}.(0.1)^{3}.(0.9)^{22} = 0.2265

P(X = 4) = C_{25,4}.(0.1)^{4}.(0.9)^{21} = 0.1384

P(X = 5) = C_{25,5}.(0.1)^{5}.(0.9)^{20} = 0.0646

P(X = 6) = C_{25,6}.(0.1)^{6}.(0.9)^{19} = 0.0239

P(X \leq 6) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5) + P(X = 6) = 0.0718 + 0.1994 + 0.2659 + 0.2265 + 0.1384 + 0.0646 + 0.0239 = 0.9905

99.05% probabilitiy that at most six cars are black.

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Answer:

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Step-by-step explanation:

Given that Tensile strength tests were performed on two different grades of aluminum spars used in manufacturing the wing of a commercial transport aircraft. From past experience with the spar manufacturing process and the testing procedure, the standard deviations of tensile strengths are assumed to be known.

Group   Group One     Group Two  

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SEM 0.316 0.433

N 10      12    

The mean of Group One minus Group Two equals 13.100

standard error of difference = 0.556

 90% confidence interval of this difference:  

(13.1-1.725*0.556,13.1+1.725*0.556)\\=(12.1409, 14.0591)

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