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lara [203]
3 years ago
5

Three consecutive even integers such that 12 less than three times the largest is equal to 96 more than the sum of the first and

second. what is the first even integer?
Mathematics
1 answer:
Marat540 [252]3 years ago
8 0
<span>Let n, n+2, and n+4 represent the three consecutive even integers.

</span>
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A certain industrial process yields a large number of steel cylinder whose lengths are distributed normally with mean 3.25 inche
Taya2010 [7]

Answer:

Y = X_1 + X_2

If we find the expected value of Y we got:

E(Y) = E(X_1) + E(X_2) = 3.25 + 3.25 =6.5

And for the variance we assume that we have independent random variables for X1 and X2 so then we have:

Var(Y) = Var(X_1) + Var(X_2) = \sigma^2 + \sigma^2 = 2 \sigma^2 = 2*(0.05^2) = 0.005

And the deviation Sd(Y) = \sqrt{0.005}=0.0707

So then our random variable Y have the following distribution:

Y \sim N (\mu =6,5 , \sigma = 0.0707)

And we want to find this probability:

P(Y

And we can use the z score formula given by:

z=\frac{y -\mu_y}{\sigma_y}

And if we use the z score formula we got:

P(Y

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the lenghts of a population, and for this case we know the distribution for X is given by:

X \sim N(3.25,0.05)  

Where \mu=3.25 and \sigma=0.05

We slect two observations X_1, X_2

And let denote the combined lenght as:

Y = X_1 + X_2

If we find the expected value of Y we got:

E(Y) = E(X_1) + E(X_2) = 3.25 + 3.25 =6.5

And for the variance we assume that we have independent random variables for X1 and X2 so then we have:

Var(Y) = Var(X_1) + Var(X_2) = \sigma^2 + \sigma^2 = 2 \sigma^2 = 2*(0.05^2) = 0.005

And the deviation Sd(Y) = \sqrt{0.005}=0.0707

So then our random variable Y have the following distribution:

Y \sim N (\mu =6,5 , \sigma = 0.0707)

And we want to find this probability:

P(Y

And we can use the z score formula given by:

z=\frac{y -\mu_y}{\sigma_y}

And if we use the z score formula we got:

P(Y

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Answer:

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Step-by-step explanation:

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Answer:

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Step-by-step explanation:

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