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ELEN [110]
3 years ago
12

PLZZZZZZZZZZ HELP ME I REALLY DONT WNA FAIL

Mathematics
1 answer:
anygoal [31]3 years ago
3 0

Answer:

the answer is 1/2 and then 3/4

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Please help ASAP this Is due tomorrow
Grace [21]

Answer:

384 inches²

Step-by-step explanation:

The surface area of a cube is found by using 6a².

6 = the number of sides in a cube

a = the given dimension (in this case, 8 inches long)

SA = (6)8²

SA = 6(64)

SA = 384

Hope this helps, sorry if it’s not what you’re looking for :)

3 0
3 years ago
Which choice describes a question that could be answered by moving the decimal point 3 places to the right?
malfutka [58]
When you multiply by 100 you have to move the decimal place 2 places to the right.

When you multiply by 1,000 you have to move the decimal place 3 places to the right.

When you multiply by 102 and 103, there is no simple trick as with multiplying by 100 or 1,000.

Your final answer is B. <span>multiplying 31.04 by 1,000</span>
7 0
3 years ago
the equation of the line 3/5x+1/3x=1/15 the x-intercept of the line is ___ and it’s y-intercept is__?
finlep [7]

Answer:

Y-intercept is (0,1/15)

X-intercept is (1/14,0)

3 0
3 years ago
Simplify.<br><br><br> [–6 – (–1 + 2 • 4)]
Brrunno [24]
-6 - (-1 + 8)
-6 - ( 7)
= -13
4 0
4 years ago
Read 2 more answers
g Consider writing onto a computer disk and then sending it through a certifier that counts the number of missing pulses. Suppos
mario62 [17]

Answer:

a) P(1) = 0.1637

b) P(x\geq 2) = 0.0176

c) E(x) = 0.2

Step-by-step explanation:

If X follows a poisson distribution, the probability that a disk has exactly x missing pulses is:

P(x)=\frac{e^{-m}*m^x}{x!}

Where m is the mean and it is equal to the value of lambda. So, replacing the value of m by 0.2, we get that the probability that a disk has exactly one missing pulse is equal to:

P(1)=\frac{e^{-0.2}*0.2^1}{1!}=0.1637

Additionally, the probability that a disk has at least two missing pulses can be calculated as:

P(x\geq 2)=1-P(x

Where P(x.

Then, P(0) and P(x\geq 2) are calculated as:

P(0)=\frac{e^{-0.2}*0.2^0}{0!}=0.8187\\P(x\geq 2) = 1 - (0.8187 + 0.1637)\\P(x\geq 2) = 0.0176

Finally, In the poisson distribution, E(x) is equal to lambda. So E(x) = 0.2

5 0
3 years ago
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