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Katena32 [7]
2 years ago
12

Write an equation in slope-intercept form for the line that has the given slope and

Mathematics
1 answer:
NARA [144]2 years ago
8 0

Answer:

y = - x + 5 should be the answer. Hope this helps!

Step-by-step explanation:

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What is the slope of the line.
makkiz [27]
-4/5 is the skip of the graph
4 0
3 years ago
Read 2 more answers
Problem #7 PLEASE HELP ;(
mixer [17]

Answer:

Yes

6(x+0.4) is equivalent to 3(2x+0.8)

Step-by-step explanation:

Given in the questions two expressions

6(x + 0.4)

3(2x + 0.8)

We will apply distributive law

It is a law relating the operations of multiplication and addition, stated symbolically

<h3>a(b + c) = ab + ac</h3><h3 />

6(x + 0.4)

= 6(x) + 6(0.4)

= 6x + 2.4

3(2x + 0.8)

= 3(2x) + 3(0.8)

= 6x + 2.4

Since both equations when expanded have same answers, hence they are equivalent

4 0
3 years ago
May someone please help?
Vikki [24]
What do u need help on??
8 0
3 years ago
Shear strength measurements for spot welds have been found to have standard deviation 1 0 pounds per square inch (psi). If 100 t
Temka [501]

Answer:

P(\mu -1< \bar X

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".  

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

X \sim N(\mu,10)  

Where \mu and \sigma=10

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

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

On this case  \bar X \sim N(\mu,\frac{10}{\sqrt{100}})

We are interested on this probability

P(\mu -1

And the best way to solve this problem is using 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(\mu -1

=P(\frac{\mu -1-\mu}{\frac{10}{\sqrt{100}}}

And we can find this probability on this way:

P(-1

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

P(-1

5 0
3 years ago
Jason is 5 foot 11 inches tall. Amy is 63 inches tall. Who's taller and by how much 1 foot = 12 inches
jok3333 [9.3K]
Since 1 foot = 12 inches,
5 feet x 12 inches = 60 inches
Jason would be 60 inches + 11 inches tall which would = 71 inches.

71 inches is greater than 63 inches.
And 71 in -63 in= 8 in.
Therefore, Jason is taller by 8 inches
3 0
3 years ago
Read 2 more answers
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