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FrozenT [24]
3 years ago
11

Help help help help help help help help help help help

Mathematics
2 answers:
LenKa [72]3 years ago
7 0

Answer:

slope is -1/11

Step-by-step explanation:

ad-work [718]3 years ago
6 0

Answer:

x1 y1 x2 y2

3 -1 -8 0

ΔY 1

ΔX -11

slope= - 1/11

B= - 8/11

Step-by-step explanation:

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olganol [36]
8 miles;

$20 - $1 (the tip) = $19
$19 - $3.00 = $16
$16 divided by the $2.00 per mile = 8 miles

I’m pretty sure that’s it, hope it helps!
5 0
4 years ago
If y varies directly with x and y is -6 when x is 2, what is x when y is -22?
zubka84 [21]

Answer:

x = \frac{22}{3}

Step-by-step explanation:

Given that y varies directly with x then the equation relating them is

y = kx ← k is the constant of variation

To find k use the condition y = - 6 when x = 2, then

- 6 = 2k ( divide both sides by 2 )

- 3 = k

y = - 3x ← equation of variation

When y = - 22, then

- 22 = - 3x ( divide both sides by - 3 )

x = \frac{-22}{-3} = \frac{22}{3}

8 0
3 years ago
Can someone help me find the zeros of the quadratic functions?
Hoochie [10]

Answer:

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Step-by-step explanation:

8 0
3 years ago
A college has a student to teacher ratio of 35 to 2. If there are 170 teachers at the college, how many students attend the coll
kipiarov [429]

Answer:

Step-by-step explanation:

2

8 0
3 years ago
Read 2 more answers
The assembly time for a product is uniformly distributed between 6 to 10 minutes. The probability of assembling the product betw
Wewaii [24]

Answer:

The probability of assembling the product between 7 to 9 minutes is 0.50.

Step-by-step explanation:

Let <em>X</em> = assembling time for a product.

Since the random variable is defined for time interval the variable <em>X</em> is continuously distributed.

It is provided that the random variable <em>X</em> is Uniformly distributed with parameters <em>a</em> = 6 minutes and <em>b</em> = 10 minutes.

The probability density function of a continuous Uniform distribution is:

f_{X}(x)=\left \{ {{\frac{1}{b-a};\ a

Compute the probability of assembling the product between 7 to 9 minutes as follows:

P(7

                      =\frac{1}{4}\times \int\limits^{9}_{7}{1}\, dx

                      =\frac{1}{4}\times [x]^{9}_{7}\\

                      =\frac{1}{4}\times (9-7)\\

                      =\frac{1}{2}\\=0.50

Thus, the probability of assembling the product between 7 to 9 minutes is 0.50.

5 0
4 years ago
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