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Lemur [1.5K]
3 years ago
9

What is 12/75 as a decamal

Mathematics
2 answers:
AlladinOne [14]3 years ago
7 0
0.16 i think but i am not 100% sure
Alex_Xolod [135]3 years ago
6 0
Your answer is .16. As a reduced fraction, it's 4/25. Always try to reduce the fraction before you convert into a decimal. It makes it a bit easier.
You might be interested in
15 - (-3) - 4<br><br> -16<br><br> 22<br><br> -8<br><br> 14
uranmaximum [27]
In this equation, you have to treat the number in the bracket first on the basis of BODMAS
15 - [-3]- 4
Note that when two minuses come together the product is a plus sign.
15 +3 - 4
You have to add before you subract
18 - 4 =14
Therefore, 15- [-3] - 4 = 14.
8 0
3 years ago
PLEASE HELP asap it’s for a quiz if you know at least one answer please tell me
VARVARA [1.3K]
  1. 15
  2. about 94.25
  3. about 706.86

Lmk if you want to know how I got the answers

3 0
2 years ago
Is (6, 2) a solution to this system of equations? x + 4y = 14 2x + 4y = 20
uranmaximum [27]
No it’s not because (6,2) would be a no solution so no
3 0
3 years ago
This year the CDC reported that 30% of adults received their flu shot. Of those adults who received their flu shot,
Vlad [161]

Using conditional probability, it is found that there is a 0.1165 = 11.65% probability that a person with the flu is a person who received a flu shot.

Conditional Probability

P(B|A) = \frac{P(A \cap B)}{P(A)}

In which

  • P(B|A) is the probability of event B happening, given that A happened.
  • P(A \cap B) is the probability of both A and B happening.
  • P(A) is the probability of A happening.

In this problem:

  • Event A: Person has the flu.
  • Event B: Person got the flu shot.

The percentages associated with getting the flu are:

  • 20% of 30%(got the shot).
  • 65% of 70%(did not get the shot).

Hence:

P(A) = 0.2(0.3) + 0.65(0.7) = 0.515

The probability of both having the flu and getting the shot is:

P(A \cap B) = 0.2(0.3) = 0.06

Hence, the conditional probability is:

P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{0.06}{0.515} = 0.1165

0.1165 = 11.65% probability that a person with the flu is a person who received a flu shot.

To learn more about conditional probability, you can take a look at brainly.com/question/14398287

7 0
2 years ago
Question 13 (1 point)
Ugo [173]

Answer:

A) Fixed Expenses

Step-by-step explanation:

Because you pay every month

6 0
3 years ago
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