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xz_007 [3.2K]
2 years ago
5

PLEASE HELP!! What is the scale factor?

Mathematics
1 answer:
mojhsa [17]2 years ago
8 0

Answer:

f9

Step-by-step explanation:

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I try to look this up and people said yes or no I just need a straight answer
Anna11 [10]

start inside the square root, replace X with -7.

-7 + 11 = 4

The number 4 comes out of the square root as 2.

Now there's a minus factor out there. Let's multiply this negative factor by 2 and get -2.

Now let's add -2 and -3.

Our output is -5.

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2 years ago
Will give brainlest Please help
Alekssandra [29.7K]
The answer would be 48 √6
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3 years ago
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Wires manufactured for use in a computer system are specified to have resistances between 0.11 and 0.13 ohms. The actual measure
Marina CMI [18]

Answer:

a) P(0.11

And we can find this probability with this difference and with the normal standard table or excel:

P(-1.11

b) P(0.11 < \bar X < 0.13)

And we can use the z score defined by:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And using the limits we got:

z = \frac{0.11-0.12}{\frac{0.009}{\sqrt{4}}}= -2.22

z = \frac{0.13-0.12}{\frac{0.009}{\sqrt{4}}}= 2.22

And we want to find this probability:

P(-2.22< Z

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".  

Part a

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

X \sim N(0.12,0.009)  

Where \mu=0.12 and \sigma=0.009

We are interested on this probability

P(0.11

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(0.11

And we can find this probability with this difference and with the normal standard table or excel:

P(-1.11

Part b

We select a sample size of n =4. And since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And we want this probability:

P(0.11 < \bar X < 0.13)

And we can use the z score defined by:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And using the limits we got:

z = \frac{0.11-0.12}{\frac{0.009}{\sqrt{4}}}= -2.22

z = \frac{0.13-0.12}{\frac{0.009}{\sqrt{4}}}= 2.22

And we want to find this probability:

P(-2.22< Z

4 0
3 years ago
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How would #8 be written out
Alecsey [184]
It would be written out as "number eight".
4 0
3 years ago
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Two puppies weigh 4/5 of a kilogram. if one puppy weighs 2/3 of a pound what is the weight if the other puppy?
jeyben [28]

Answer:

2/15

Step-by-step explanation:

4/5-2/3

12/15-10/15

2/15

8 0
2 years ago
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