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Ulleksa [173]
3 years ago
13

A three-dimensional printing pen uses heated plastic to create three-dimensional objects. A kit comes with one 3D-printing pen a

nd $p$ packages of plastic. An art club purchases 6 identical kits for $\left(180+58.5p\right)$ dollars. Write an expression that represents the cost of one kit.
Mathematics
1 answer:
GalinKa [24]3 years ago
4 0

Answer:

hello

Step-by-step explanation:

You might be interested in
Multiply (9-4i)(2+5i)
Tanzania [10]

(9 - 4i)(2 + 5i)

To solve this question you must FOIL (First, Outside, Inside, Last) like so

First:

(9 - 4i)(2 + 5i)

9 * 2

18

Outside:

(9 - 4i)(2 + 5i)

9 * 5i

45i

Inside:

(9 - 4i)(2 + 5i)

-4i * 2

-8i

Last:

(9 - 4i)(2 + 5i)

-4i * 5i

-20i²

Now combine all the products of the FOIL together like so...

18 + 45i - 8i - 20i²

***Note that i² = -1; In this case that means -20i² = 20

18 + 45i - 8i + 20

Combine like terms:

38 - 37i

^^^This is your answer

Hope this helped!

~Just a girl in love with Shawn Mendes

8 0
3 years ago
When you multiply a number by
Valentin [98]
If it's 1/4 is is one-fourth the original number
6 0
2 years ago
A sample of 900900 computer chips revealed that 66f% of the chips fail in the first 10001000 hours of their use. The company's p
Alik [6]

Answer:

No, there is not enough evidence at the 0.02 level to support the manager's claim.

Step-by-step explanation:

We are given that the company's promotional literature states that 68% of the chips fail in the first 1000 hours of their use. Also, a sample of 900 computer chips revealed that 66% of the chips fail in the first 1000 hours of their use.

And the quality control manager wants to test the claim that the actual percentage that fail is different from the stated percentage, i.e;

Null Hypothesis, H_0 : p = 0.68 {means that the actual percentage that fail is same as the stated percentage}

Alternate Hypothesis, H_1 : p  0.68 {means that the actual percentage that fail is different from the stated percentage}

The test statistics we will use here is;

     T.S. = \frac{\hat p -p}{\sqrt{\frac{\hat p(1- \hat p)}{n} } } ~ N(0,1)

where, p = actual percentage of chip fail = 0.68

            \hat p = percentage of chip failed in a sample of 900 chips = 0.66

           n = sample size = 900

So, Test statistics = \frac{0.66 -0.68}{\sqrt{\frac{0.66(1- 0.66)}{900} } }

                             = -1.267

Now, at 0.02 significance level, the z table gives critical value of -2.3263 to 2.3263. Since our test statistics lie in the range of critical values which means it doesn't lie in the rejection region, so we have sufficient evidence to accept null hypothesis.

Therefore, we conclude that the actual percentage that fail is same as the stated percentage and the manager's claim is not supported.

5 0
3 years ago
Is the origin a solution to the system graphed?
Neporo4naja [7]

Answer:

Step-by-step explanation:

y < - 3x

y ≥ 2x + 2

5 0
2 years ago
How do you find the sigma of the x and y values? Do you do it like a partial derivative?
Art [367]

Answer:

Step-by-step explanation:

Sample size of 8 infants were taken and their birth lengths in inches recorded and also 6 months lengths.

If x is length at birth time, and y 6 month length

we have as per table below.

x y x^2 y^2 xy

1 19.75 25.5 390.0625 650.25 503.625

2 20.5 26.25 420.25 689.0625 538.125

3 19 25 361 625 475

4 21 26.75 441 715.5625 561.75

5 19 25.75 361 663.0625 489.25

6 18.5 25.25 342.25 637.5625 467.125

7 20.25 27 410.0625 729 546.75

8 20 26.5 400 702.25 530

     

Total 158 208 3125.625 5411.75 4111.625

∑ x,     ∑ x2 , ∑ y,           ∑ xy,           ∑ y2\\158 208 3125.625 5411.75 4111.625

SSxx = 3125.625 and SSyy = 5411.75

5 0
3 years ago
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