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amid [387]
4 years ago
7

Eight more than twice a number is less than negative twelve

Mathematics
1 answer:
Maru [420]4 years ago
8 0

x equals negative 10

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Austin consumes an energy drink that contains caffeine. After consuming the energy drink, the amount of caffeine in Austin's bod
Olegator [25]

Answer:

  • 5-hour: 0.5277
  • 1-hour: 0.8800

Step-by-step explanation:

The decay factor for time t can be written as ...

  0.2785^(t/10)

Then the 5-hour decay factor is ...

  0.2785^(5/10) ≈ 0.5277

and the 1-hour decay factor is ...

  0.2785^(1/10) ≈ 0.8800

5 0
3 years ago
Please help for #10 both parts will give 30 points!!!!!
Andreas93 [3]
8x6= 48 (not necessary to divide by 8 since you'd have to multiply it by 2 anyway because there are 2 triangles)
6x12=72
10x12=120
12x8=96

48+72+120+96=336

336cm^2 is the answer
5 0
3 years ago
I don’t know how to complete this problem. Can anyone help out? Please and thank you :)
lawyer [7]
.....................
5 0
3 years ago
Please help me with steps
Masteriza [31]

Answer:

224 cm³

Step-by-step explanation:

Decompose the figure into two cuboid.

Volume of the bigger cuboid = L*W*H

L = 7 cm

H = 7 cm

W = 4 cm

Volume of the bigger cuboid = 7*7*4 = 196 cm³

Volume of smaller cuboid = L*W*H

L = 7 cm

W = 2 cm

H = 2 cm

Volume of smaller cuboid = 7*2*2 = 28 cm³

✅Volume of the figure = 196 cm³ + 28 cm³ = 224 cm³

5 0
3 years ago
Pulse rates of women are normally distributed with a mean of 77.5 beats per minute and a standard deviation of 11.6 beats per mi
irakobra [83]

Answer:

a) Mean=0 and Standard deviation=1

b) The z-scores have no units of measurement

Step-by-step explanation:

When we convert all the pulse rates of women to z-scores using the formula;

z=\frac{x-\mu}{\sigma} the mean is 0 and the standard deviation is 1.

The reason is that, the resulting distribution of z-scores forms a normal distribution which has a mean of 0 and a standard deviation of 1.

b) The z-scores are standardize scores and has no units of measurement. They give us how many standard deviations below or above the mean of the corresponding values.

8 0
4 years ago
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