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Svetlanka [38]
3 years ago
9

What is the equivalent to d

Mathematics
2 answers:
andrew11 [14]3 years ago
7 0
6d - 11/2 = 2d - 13/2

move all numbers with variables to one side and all constants to the other

6d (-6d) - 11/2 (+13/2) = 2d (-6d) - 13/2 (+13/2)

-11/2 + 13/2 = 2d - 6d

2/2 = -4d

1 = -4d
isolate the d, divide -4 from both sides

1/-4 = -4d/-4

d = 1/-4, or -1/4

hope this helps
RSB [31]3 years ago
6 0
I seriously don't know sry
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Answer:

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Step-by-step explanation:

8.25 x 5= 41.25

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Read 2 more answers
A machine fills containers with a particular product. Assume the filling weights are normally distributed with a variance of 0.1
Ghella [55]

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.

8 0
3 years ago
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