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stepan [7]
3 years ago
9

Drag and drop the constant of proportionality into the box to match the table. If the table is not proportional, drag and drop "

not proportional" into the box. x 0 3 6 9, y 0 2 4 6
Options: 1/2, 3, not proportional, 2, 2/3
Mathematics
2 answers:
SIZIF [17.4K]3 years ago
7 1

Answer:

2/3

Step-by-step explanation:

just took the test

Art [367]3 years ago
6 0

Answer:

3

Step-by-step explanation:

look at the numbers, check how far apart they are.

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Solve for x <br> 4 (x – 7) = -8
daser333 [38]
It should be 5. When you distribute the 4, it turns into 4x then (4•-7) = -28. Add 28 to -8 and you get 20. Divide 4 on Both sides and X=5
6 0
4 years ago
Read 2 more answers
Last year, a French restaurant used 394,070 ounces of cream. This year, due to a menu update, the restaurant used 275,849 ounces
ludmilkaskok [199]

Answer:

30%

Step-by-step explanation:

394,070-275,849= 118,221

118,221/394,070=0.3=30%

6 0
3 years ago
Solve for the value of r. (8r+6)° (9r-7)​
lukranit [14]

Answer:

r = 13

Step-by-step explanation:

these angles are vertical and are congruent

8r + 6 = 9r - 7

6 = r - 7

13 = r

8 0
3 years ago
Todd Holland from NY grows pumpkins. He studied his past records carefully and concluded that his biggest pumpkins are distribut
ehidna [41]

Answer:

P(X>1000)

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(X>1000)=P(\frac{X-\mu}{\sigma}>\frac{1000-\mu}{\sigma})=P(Z>\frac{1000-950}{50})=P(z>1)

And we can find this probability using the complement rule and the normal standard table and we got:

P(z>1)=1-P(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".  

Solution problem

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

X \sim N(950,50)  

Where \mu=950 and \sigma=50

We are interested on this probability

P(X>1000)

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(X>1000)=P(\frac{X-\mu}{\sigma}>\frac{1000-\mu}{\sigma})=P(Z>\frac{1000-950}{50})=P(z>1)

And we can find this probability using the complement rule and the normal standard table and we got:

P(z>1)=1-P(z

5 0
3 years ago
15y +5x- 7y+1x-3y i need help
vladimir2022 [97]

Answer:

simplify the expression: 6x+5y

Step-by-step explanation:

8 0
3 years ago
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