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Eva8 [605]
2 years ago
12

What is the simplified expression for -3(2x- y) + 2y + 2(x+y)2

Mathematics
1 answer:
Step2247 [10]2 years ago
6 0

Answer:

7y-4x.

Step-by-step explanation:

I think that the last 2 shouldn't be there and the third option should be 7y-4x or all the options are incorrect.

-3(2x- y) + 2y + 2(x+y)

= -6x+3y + 2y+2x+2y

= -6x+2x+3y+2y+2y

= -4x+7y.

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Pasen fotos de anime
Leni [432]

Answer:

OK

Step-by-step explanation:

4 0
2 years ago
Find the sum of the interior angles of a regular 29-gon.
aev [14]

Woah! A 29-gon. Impressive!

Sum of angles = 180(n-2) [where n is equal to the number of sides]

180(29-2)

180(27)

The sum of the interior angles of a regular 29-gon is 4860 degrees.

Hope that helps!


6 0
3 years ago
May someone do this for me please?
Nesterboy [21]
58 should be the answer for the perimeter
8 0
2 years ago
Read 2 more answers
The diameter of a spindle in a small motor is supposed to be 4.1 millimeters (mm) with a standard deviation of 0.1 mm. If the sp
adoni [48]

Answer:

The null hypothesis is H_0: \mu = 4.1

The alternate hypothesis is H_a: \mu \neq 4.1

Step-by-step explanation:

The diameter of a spindle in a small motor is supposed to be 4.1 millimeters

This means that the null hypothesis is that the diameter has the supposed value, that is, H_0: \mu = 4.1

If the spindle is either too small or too large, the motor will not work properly.  The manufacturer measures the diameter in a sample of 41 spindles to determine whether the mean diameter has moved away from the required measurement.

Tests if it has moved away, that is, if the mean is different from the specified value of 4.1. So the alternate hypothesis is H_a: \mu \neq 4.1

5 0
2 years ago
Sample information: 24 out of 1000 people who were surveyed had type 2 diabetes. Use the above sample information and construct
notka56 [123]

Solution :

The sample proportion $(\hat p)=\frac{24}{1000}$

                                           = 0.024

<u>90% confidence interval </u>

The standard deviation  = $\sqrt{\frac{\hat p(1-\hat p)}{n}$

                                        = $\sqrt{\frac{0.024(1-0.024)}{1000}$

                                        = 0.00484

z = 1.645 for 90% CI

Upper band = 0.024 + (0.00484 x 1.645 ) = 0.03196

Lower band = 0.024 - (0.00484 x 1.645 ) = 0.01603

Therefore, the 90% CI is (0.016, 0.032)

<u />

<u>99% confidence interval </u>

z = 2.576 for 99% CI

Upper band = 0.024 + (2.576 x 0.00484 ) = 0.0365

Lower band = 0.024 - (2.576 x 0.00484 ) = -0.0115

Therefore, the 99% CI is (0.0115, 0.0365)

                                   

5 0
3 years ago
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