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LenaWriter [7]
3 years ago
5

A. y = 8 − 7x B. y = 7x + 8 C. y = 7x − 8 D. y = 8x − 7

Mathematics
1 answer:
Anna71 [15]3 years ago
7 0

Answer:

I'm getting

y=-7x+8

The 7 is negative for me..You should maybe try yourself too and see what you get I might have made a mistake

Step-by-step explanation:

I'm guessing you live somewhere in the U.S. so I'll use the equation you use there

Equation:

y = mx + b

m =  \frac{y1 - y2}{x1 - x2}

first pick two points

I'll pick (0,8) and (1,1)

m =  \frac{8 - 1}{0 - 1} =  \frac{7}{ - 1 } =  - 7

this means that the slope is -7

So far the equation will look like this

y =  - 7x + b

to get b pick one point, I'll pick (0,8) and replace y and x

8 =  - 7 \times 0 + b

when you solve this you'll get b

b = 8

So the equation will look this

y =  - 7x + 8

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hompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 125 millimeters,
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Answer:

P(-2.012

So since we want the probability that "the sample mean would differ from the population mean by greater than 2.2 millimeters". Then we use the complement rule and we got

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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".  

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And let \bar X represent the sample mean, the distribution for the sample mean is given by:

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Solution to the problem

We can begin the problem finding this probability

P(\mu -2.2

We can use the normal standard distribution and the z score given by:

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

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

P(125-2.2

=P(\frac{122.8-125}{\frac{7}{\sqrt{41}}}

And we can find this probability on this way:

P(-2.012

And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.  

P(-2.012

So since we want the probability that "the sample mean would differ from the population mean by greater than 2.2 millimeters". Then we use the complement rule and we got:

P=1-0.9558=0.0442

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