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AysviL [449]
3 years ago
15

Factor a^2+6a+6b–b^2 plz

Mathematics
1 answer:
vovangra [49]3 years ago
4 0

Answer:

(a+b) (a-b+6)

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8 quarters or 2 1 dollar bills and why
anygoal [31]

They both have the same value.

Step-by-step explanation:

4 quarters= 1 dollar

So, 8 quarters would be 2 dollars.

5 0
3 years ago
Is subtraction of decimals associative? If not, give a counter example.
Masteriza [31]
Associative property is only applied to addition and multiplication. Thus, it can't be applied to subtraction. This property is manifested when you get the same answer no matter where you put the parenthesis. Example of associative property is:

(50 + 2) + (92 + 6) = 52+98 = 150
50 + (2+92) + 6 = 50 + 94 + 6 = 150

Here is the counter example for the subtraction of decimals:

(3.45 - 8.92) - (1.9 - 7.3) = -5.47 - ⁻5.4 = -0.07
3.45 - (8.92 - 1.9) - 7.3 = 3.45 - 7.02 - 1.9 = -5.47
As you can see, the answers are not the same.
4 0
3 years ago
If 18.9 million computers were in use in 1980 and the number is rising by 19% annually, predict the number of computers in use i
4vir4ik [10]
18.9(1+0.19)^35, 35 is the number of years
use your calculator, you should get 661.5, round to the newest whole number 662million

4 0
3 years ago
Please help i need the answer asap!!!
IrinaK [193]

Answer:

35 cm

Step-by-step explanation:

You can use the Cosine Rule to find the length of a side when two sides and the included angle are given.

a² = b² + c² - 2bc cos A

a² = (36²) + (52²) - 2(36)(52) cos 42°

a² = (1296) + (2704) - (3744)(0.7431448255)

a² = (4000) - (2782)

a² = 1218

a = ✓1218

a = 34.9 cm

7 0
3 years ago
For a sample of eight​ bears, researchers measured the distances around the​ bears' chests and weighed the bears. Minitab was us
Karolina [17]

Answer:

Step-by-step explanation:

Given that for a sample of eight​ bears, researchers measured the distances around the​ bears' chests and weighed the bears.

r = linear correlation coeff = 0.952

H_0: r =0\\

H_1 :r\neq 0

(Two tailed test)

r difference = 0.952

n=8

Std error = \sqrt{\frac{1-r^2}{n-2} } =0.12496

Test statistic t = 0.952/0.12496 = 7.618

Alpha = 0.05

df = 6

p value = 0.000267

This implies H0 is rejected.

There exists a linear relation between the variables and r cannot be 0

0.952^2 = 0.906=90.6% of variation in weight can be explained by the linear relationship between weight and chest​ size

3 0
3 years ago
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