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Sophie [7]
2 years ago
6

Maia says that the lines in this system of linear eqations are parallel. is she correct? explain.

Mathematics
2 answers:
jeka57 [31]2 years ago
7 0
Yes they are parallel
Vitek1552 [10]2 years ago
4 0

Answer:

yes, they are parallel because their slopes are the same

Step-by-step explanation:

if you put each equation into slope-intercept form and compare slopes you can see whether they are parallel or not

2x + y = 14

y = -2x + 14

slope = -2

2y + 4x = 14

2y = -4x + 14

slope = -4/2, which simplifies to be -2

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A machine fills containers with a particular product. Assume the filling weights are normally distributed with a variance of 0.1
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Answer:

z=-0.674

And if we solve for \mu we got

\mu=12 +0.674*0.4=12.270

So then the mean is 'mu = 12.270 for this case.

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 variable of interest of a population, and for this case we know the distribution for X is given by:

X \sim N(\mu,\sqrt{0.16}= 0.4)  

For this part we want to find a value a, such that we satisfy this condition:

P(X>12)=0.85   (a)

P(X   (b)

Both conditions are equivalent on this case. We can use the z score again in order to find the value a.  

As we can see on the figure attached the z value that satisfy the condition with 0.25 of the area on the left and 0.85 of the area on the right it's z=-0.674. On this case P(Z<-0.674)=0.25 and P(z>-0.674)=0.85

If we use condition (b) from previous we have this:

P(X  

P(z

But we know which value of z satisfy the previous equation so then we can do this:

z=-0.674

And if we solve for \mu we got

\mu=12 +0.674*0.4=12.270

So then the mean is 'mu = 12.270 for this case.

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Answer:

Step-by-step explanation:

Download docx
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