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MatroZZZ [7]
2 years ago
9

Please help :)) BRAINIEST

Mathematics
1 answer:
Marianna [84]2 years ago
4 0

Answer:

<h2><u>274.75 yd³</u></h2>

Step-by-step explanation:

First we can tilt this shape so it sits flat. This is just to make it easier.

Since we know the diameter, the formula will be different.

V=3.14(\frac{d}{2})^2h

Now lets rewrite it replacing variables.

V=3.14(\frac{10}{2})^23.5

Solve. While solving this, order of operations is critical.

10/2 = 5

5² = 5 × 5 = 25

3.14 × 25 = 78.5

78.5 × 3.5 = 274.75

Now we need to add the measurement unit which is yards or yd.

We also need to add ³ since it is volume

<u>274.75 yd³ is our final answer</u>

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A. 5x
Hopefully this helped
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3 years ago
A probability experiment is conducted in which the sample space of the experiment is upper s equals startset 4 comma 5 comma 6 c
olchik [2.2K]
The correct question statement is:

A probability experiment is conducted in which the sample space of the experiment is S = {4,5,6,7,8,9,10,11,12,13,14,15}. Let event E={7,8,9,10,11,12,13,14,15}. Assume each outcome is equally likely. List the outcomes in E^{c}. Find P(E^{c}).

Solution:

Part 1:

E^{c} means compliment of the set E. A compliment of a set can be obtained by finding the difference of the set from the universal set. The universal set is the set which contains all the possible outcomes of the events which is S in this case.

So, compliment of E will be equal to S - E. S - E will result in all those elements of S which are not present in E. So, we can write:

E^{c}=S-E \\  \\ &#10;E^{c}=(4,5,6,7,8,9,10,11,12,13,14,15)-(7,8,9,10,11,12,13,14,15) \\  \\ &#10;E^{c}=(4,5,6)

Thus the set compliment of E will contain the elements {4,5,6}.So

E^{c} = {4,5,6}

Part 2)

P(E^{c}) means probability that if we select any number from the Sample Space S, it will belong the set E compliment.

P(E^{c}) = (Number of Elements in E^{c})/Number of elements in S

Number of elements in set S = n(S) = 12
Number of elements in set E^{c} = n(E^{c})=3

So, 

P(E^{c})= \frac{n(E^{c}) }{n(S)} \\  \\ &#10;P(E^{c})= \frac{3}{12} \\  \\ &#10;P(E^{c})= \frac{1}{4}
7 0
3 years ago
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SIZIF [17.4K]

Step-by-step explanation:

Y is equal to:

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2/3x = 10 + 2

2/3x = 12

3/3x = (12 ÷ 2) × 3

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Not sure but its worth a try.

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PLS ANSWER NOW WILL EARN BRAINLIEST IF RIGHT
Vitek1552 [10]

Answer: i think it is about 3.6%


Step-by-step explanation:


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