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morpeh [17]
3 years ago
8

Chris knows that the formula for finding the volume of a cone is:

Mathematics
2 answers:
kakasveta [241]3 years ago
5 0

Answer:

actually its V= 1/3pi(r)2h

Step-by-step explanation:

kipiarov [429]3 years ago
3 0

It is given in the question that the formula of volume of cone is

V = \frac{1}{3} \pi r^2 h

Where V is the volume, r is the radius and h is the height.

And we have to find an expression for h.

First we multiply both sides by 3, and on doing that we will get

3 V= \pi r^2h

Now to isolate h, we have to get rid of pi r square by dividing.

h= \frac{3V}{ \pi r^2}

Therefore the correct option is B.

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Can someone please help me please?
levacccp [35]

Answer:

B

Step-by-step explanation:

You solve x by finding a, b, and c of the quadratic then applying the quadratic formula.

6 0
3 years ago
Please help ASAP!!!!!
ivann1987 [24]

Answer:

90°?..........................

6 0
3 years ago
The average cost for a gallon of gasoline in 2006 was $2.45. In 2007, the average cost of a gallon of gasoline was $3.29. What i
Ratling [72]

Answer:

34%

Step-by-step explanation:

100%=2.45

? =3.29

3.29/2.45×100=134.29

134.29-100=34%

8 0
4 years ago
I need help what’s the answer to this Y = x + 1
UkoKoshka [18]

Answer: well, the answer can really be any two numbers, as long as y is one more than x. EXAMPLE: 16 = 15 + 1, 7 = 6 + 1, -54 = -55 + 1, etc

8 0
2 years ago
The mayor is interested in finding a 95% confidence interval for the mean number of pounds of trash per person per week that is
Hatshy [7]

Answer:

A. <u>Normal</u>

B. <u>30.1</u>, <u>32.9</u>

C. <u>95</u>, <u>5</u>

Step-by-step explanation:

A. The sampling distribution follows a <u>normal</u> distribution

Given that the sample size is large, we have that the sample distribution follows a normal distribution according to the central limit theorem

B. The 95% confidence interval is given as follows;

CI=\bar{x}\pm z \times \dfrac{s}{\sqrt{n}}

The number of residents in the study, n = 120 residents

The sample mean, \overline x = 31.5 pounds

The standard deviation, s = 7.8 pounds

The z-value for 95% confidence level, z = 1.96

Therefore, we get;

C.I. = 31.5 ± 1.96 × 7.8/√(120)

The 95% C.I. ≈ 30.1 ≤ \overline x ≤ 32.9

Therefore, we have that with 95% confidence, the population mean number of pounds per person per week is between <u>30.1</u> and <u>32.9</u>

C. Therefore, according to the central limit theorem, about <u>95</u> percent of the groups of 120 will contain the true population mean number of pounds of trash generated per person per week and about <u>5</u> percent will not contain the true population mean number of pounds of trash generated per person per week.

8 0
3 years ago
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