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ra1l [238]
3 years ago
11

On a sheet of paper draw a Regular Hexagon with a Radius equal to 6 units.

Mathematics
1 answer:
-Dominant- [34]3 years ago
3 0

Answer:

Show me the options

Step-by-step explanation:

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Graph y= - |x-3| +4
Julli [10]

Answer:

x-1 y-2

x-2 y-2

x-3 y-4

Step-by-step explanation:

graph the points. It should look like a triangle without the bottom.

7 0
3 years ago
PLEASE HELP, THIS IS DUE ALREADY AND I AM IN A HUGE HURRY
Fed [463]

Solution:

<u>Note that:</u>

  • Given equation: y = 8x

<u>Let's substitute x as 2 to find out y.</u>

  • y = 8x
  • => y = 8(2)
  • => y = 16

<u>Let's substitute x as 4 to find out y.</u>

  • y = 8x
  • => y = 8(4)
  • => y = 32

<u>Final answer:</u>

  • When x = 2, y = 16
  • When x = 4, y = 32

Option B is correct.

7 0
2 years ago
Can someone Help please? :)
Inga [223]

the answer is 24i-7 she forgot to multiply 3 and 4 two times to distribute

3 0
3 years ago
Solve for x.<br> 112°<br> (5x - 3)°<br> (4x + 16)°
ANTONII [103]

Answer:

11

Step-by-step explanation:

180 - 112 = 68

4x + 16 +5x - 3 + 68 = 180

simplify.

9x + 81 = 180. subtract 81 from 180

9x = 99. divide 99 by 9

x = 11.

8 0
3 years ago
Read 2 more answers
You fire 3 guns at a target. the first has a 20% probability of hitting, the second a 15% probability of hitting and the 3rd an
DedPeter [7]
<span>Sample space for hits: {0, 1, 2, 3} Expected hits: 0.45 Variance: 0.3775 We have 3 guns, each of which can either hit or miss. The sample space for the number of hits is {0, 1, 2, 3} The expected number of hits is 0.20 + 0.15 + 0.10 = 0.45 hits For the variance, let's calculate the probability of 0, 1, 2, or 3 hits. 0 hits: 0.80 * 0.85 * 0.90 = 0.612 1 hit: 0.8 * 0.85 * 0.1 + 0.8 * 0.15 * 0.9 + 0.2 * 0.85 * 0.9 = 0.068 + 0.108 + 0.153 = 0.329 2 hits: 0.8 * 0.15 * 0.1 + 0.2 * 0.85 * 0.1 + 0.2 * 0.15 * 0.9 = 0.012 + 0.017 + 0.027 = 0.056 3 hits: 0.2 * 0.15 * 0.1 = 0.003 Since we have 4 discrete outcomes, the variance is simply the sum of the probability of the event multiplied by the square of the difference between the value of the event minus the mean. So 0.612 * (0 - 0.45)^2 + 0.329 * (1 - 0.45)^2 + 0.056 * (2 - 0.45)^2 + 0.003 * (3 - 0.45)^2 = 0.612 * (-0.45)^2 + 0.329 * (0.55)^2 + 0.056 * (1.55)^2 + 0.003 * (2.55)^2 = 0.612 * 0.2025 + 0.329 * 0.3025 + 0.056 * 2.4025 + 0.003 * 6.5025 = 0.12393 + 0.0995225 + 0.13454 + 0.0195075 = 0.3775 So the variance is 0.3775 Note: I could have eliminated the step consolidating the probabilities of getting 0, 1, 2, or 3 hits and instead went directly into the calculation of the variance using the probability of each of the 8 possible events. But in doing so that would have made the calculations twice as large and still would have gotten the same effect. Effectively for the cases of 1 and 2 hits, I calculated (p1 + p2 + p3)*(1 - 0.45)^2 instead of p1*(1 - 0.45)^2 + p2*(1 - 0.45)^2 + p3*(1 - 0.45)^2 which the distributive property allows us and will give the same result.</span>
6 0
3 years ago
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