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lutik1710 [3]
4 years ago
7

What is a equation in slope intercept form for the line that has a slope -1 that passes through (-4,3)

Mathematics
2 answers:
aleksley [76]4 years ago
5 0

slope is -1

m=-1

we have a point as (-4,3)

we can use slope intercept form of line

y=mx+b

we can plug m=-1

y=-x+b

now, we can plug point (-4,3)

x=-4 and y=3 and then we can find b

3=-1*-4+b

b=-1

now, we can plug back

and we get

y=-x-1............Answer

My name is Ann [436]4 years ago
4 0

Hello!

The only thing we need to find the equation is the y-intercept. We can use this point and slope in the equation to solve for b.

3=-1(-4)+b

3=4+b

b=-1

Therefore, our equation is y= -x-1

I hope this helps!

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Step-by-step explanation:

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A pizza chain plans to locate a new pizza franchise on the CCSU campus if the results of a survey show that more than 10% of CCS
kari74 [83]

Answer:

a) Null and alternative hypothesis:

H_0: \pi=0.1\\\\H_a:\pi>0.1

b) A Type I error is made when a true null hypothesis is rejected. In this case, it would mean a conclusion that the proportion is significantly bigger than 10%, when in fact it is not.

c) The consequences would be that they would be more optimistic than they should about the result of the investment, expecting a proportion of students that is bigger than the true population proportion.

d) A Type II error is made when a false null hypothesis is failed to be rejected. This would mean that, although the proportion is significantly bigger than 10%, there is no enough evidence and it is concluded erroneously that the proportion is not significantly bigger than 10%

e) The consequences would be that the investment may not be made, even when the results would have been more positive than expected from the conclusion of the hypothesis test.

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a) The hypothesis should be carried to test if the proportion of students that would eat there at least once a week is significantly higher than 10%.

Then, the alternative or spectulative hypothesis will state this claim: that the population proportion is significantly bigger than 10%.

On the contrary, the null hypothesis will state that this proportion is not significantly higher than 10%.

This can be written as:

H_0: \pi=0.1\\\\H_a:\pi>0.1

7 0
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