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madam [21]
3 years ago
14

Exit What is the decimal equivalent of 4/5

Mathematics
1 answer:
cestrela7 [59]3 years ago
4 0

Answer:

0.8

Step-by-step explanation:

to find the decimal equivalent we must get the denominator to 100

to do that we must multiply it by 20, 4/5 * 20/20 is 80/100

80/100 is also 80%, which is also 0.80 (which can be simplified to 0.8)

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Do the following lengths form a right triangle? ​
Solnce55 [7]

Answer:

Yes, they do

Step-by-step explanation:

Because

6+8=14>9

6+9=15>8

8+9=17>6

6 0
3 years ago
Please help ASAP! Will mark BRAINLIEST!!!
melisa1 [442]
The answer is communitve property of multiplication. hope that helped 
6 0
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Read 2 more answers
For large parties;restaurants often iclude a tip on the final bill that is proportional to the total amount spent.One restaurant
Sophie [7]
24.21/134.5=x/246
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7 0
3 years ago
5v-4/10=4/5 (please show work)
il63 [147K]
5v - 4/10 = 4/5
5v = 4/5 + 4/10 = 6/5
v = (6/5)/5 = 6/25
3 0
4 years ago
Please help QUICKLY! please explain your answer, please give the correct answer
alisha [4.7K]

Answer:

  • 0: 0.7056
  • 1: 0.2688
  • 2: 0.0256

Step-by-step explanation:

When events are independent, the probability of some sequence of them is the product of the probabilities of the individual events in that sequence.

The probability of a child having spina bifida is 16% = 0.16, so the probability that the child will not have the condition is 1 - 0.16 = 0.84. The probability that 0 of 2 children will have spina bifida is ...

  p(0 for 2) = p(0 for 1)×p(0 for 1) = 0.84×0.84 = 0.7056

__

There are two ways that 1 of 2 children can have spina bifida: either the first one does, or the second one does. These are mutually exclusive conditions, so their probabilities add:

  p(1 for 2) = p(1 for 1)×p(0 for 1) +p(0 for 1)×p(1 for 1) = 0.16×0.84 +0.84×0.16

  p(1 for 2) = 0.2688

__

There is one way both children can have spina bifida:

  p(2 for 2) = p(1 for 1)×p(1 for 1) = 0.16×0.16 = 0.0256

__

In summary, our probability distribution is ...

  p(X=0) = 0.7056

  p(X=1) = 0.2688

  p(X=2) = 0.0256

8 0
3 years ago
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