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ziro4ka [17]
3 years ago
6

The candle company is designing a new cylindrical candle. They are looking at for different molds. Which mold will use the least

amount of wax? HURRY IM TIMED

Mathematics
2 answers:
uysha [10]3 years ago
7 0

C. mold C because it is even 3x3

Alona [7]3 years ago
4 0

Answer:

It is B

Step-by-step explanation:

A. 2(3.14)1²+2(3.14)1*7= 50.265

B.2(3.14)1²+2(3.14)1*3=31.41

C.2(3.14)1.5²+2(3.14)1.5*3=42.41

D.2(3.14)2²+2(3.14)2*3=62.83

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? x 3,794 =2 x (4 x 3794)​
o-na [289]
The answer would be 8
6 0
4 years ago
13 is 3 less than a number z
Andru [333]

Answer:

z=16

Step-by-step explanation:

z-3=13

z=13+3

z=16

4 0
4 years ago
(3b-5)^2-c^2 how do I factor this using grouping?
klemol [59]
So you see it is the difference of 2 perfect squares
a^2-b^2=(a+b)(a-b)
so
(3b-5)^2-c^2=(3b-5+c)(3b-5-c)
3 0
3 years ago
​ y=4x−5 y=2x+3 ​ Is (4,11)(4,11)left parenthesis, 4, comma, 11, right parenthesis a solution of the system?
Julli [10]

The solution to the systems if equation y = 4x - 5, y = 2x + 3 is (x, y) = (4, 11)

<h3>Equation</h3>

y = 4x - 5

y = 2x + 3

  • Equation both equations

4x - 5 = 2x + 3

  • collect like terms

4x - 2x = 3 + 5

2x = 8

  • divide both sides by 2

x = 8/2

x = 4

  • Substitute x = 4 into

y = 4x - 5

= 4(4) - 5

= 16 - 5

y = 11

Therefore, the solution to the system of be equation is x = 4 and y = 11

Learn more about equation:

brainly.com/question/13729904

#SPJ1

5 0
2 years ago
The cable company takes an simple random sample of 250 of the approximately 15,000 households who subscribe to them. They found
finlep [7]

Answer:

The standard deviation of the sampling distribution of p is 0.03.

Step-by-step explanation:

According to the Central limit theorem, if from an unknown population large samples of sizes <em>n</em> > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.

The mean of this sampling distribution of sample proportion is:

\mu_{\hat p}=p  

The standard deviation of this sampling distribution of sample proportion is:

\sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}

It is provided that, a cable company takes an simple random sample of 250 of the approximately 15,000 households who subscribe to them to determine the proportion of households that watch sports on television at least once a month.

The actual proportion is 70%.

As the sample selected is quite large, i.e. <em>n</em> = 250 > 30, the central limit theorem can be used to approximate the sampling distribution of sample proportions.

Compute the standard deviation of this sampling distribution as follows:

\sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}

=\sqrt{\frac{0.70(1-0.70)}{250}}\\\\=0.0289828\\\\\approx 0.03

Thus, the standard deviation of the sampling distribution of p is 0.03.

5 0
4 years ago
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