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SIZIF [17.4K]
3 years ago
11

PLEASEEE HELP BEEN STUCK WITH THIS ILL MARK U BRAINLESS PLEASEEEE

Mathematics
1 answer:
andre [41]3 years ago
6 0

there are 18 marbles all together

4 are red

18÷4= 4.5

percent 4.5%

fraction 4 1/2

decimal 4.5

I'm not sure about the second hald but I hope this helped ^^

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Pls help me with this answer choice question! brainliest, rattings, thanks etc.
galina1969 [7]

Answer:

graph B

Step-by-step explanation:

Given

3y - 5x < - 6

Since the inequality is < then the line must be broken

If ≤ then line would be solid

The only possible graphs are B and D

Choose a test point in the shaded region of each graph and check validity

graph B (2, 0) ← substitute into left side of inequality

0 - 5(2) = 0 - 10 = - 10 < - 6 ← this is valid

graph D (0, 0 ) ← substitute into left side of inequality

0 - 0 = 0 > - 6 ← this is not valid

Hence graph B is the correct graph

3 0
4 years ago
Find f(2) if f(x) = 2x + 1
Fantom [35]

Answer: f(2)=5

Step-by-step explanation:

f(2)=2(2)+1=5

f(2)=5

3 0
3 years ago
Consider the probabilities of people taking pregnancy tests. Assume that the true probability of pregnancy for all people who ta
Valentin [98]

Using conditional probability, it is found that there is a 0.8462 = 84.62% probability that a woman who gets a positive test result is truly pregnant.

<h3>What is Conditional Probability?</h3>

Conditional probability is the probability of one event happening, considering a previous event. The formula is:

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, the events are:

  • Event A: Positive test result.
  • Event B: Pregnant.

The probability of a positive test result is composed by:

  • 99% of 10%(truly pregnant).
  • 2% of 90%(not pregnant).

Hence:

P(A) = 0.99(0.1) + 0.02(0.9) = 0.117

The probability of both a positive test result and pregnancy is:

P(A \cap B) = 0.99(0.1)

Hence, the conditional probability is:

P(B|A) = \frac{0.99(0.1)}{0.117} = 0.8462

0.8462 = 84.62% probability that a woman who gets a positive test result is truly pregnant.

You can learn more about conditional probability at brainly.com/question/14398287

7 0
2 years ago
The volume of a cube depends on the length of its sides. This can be written in function notation as v(s). What is the best inte
ki77a [65]
The answer is D. A cube with side lengths of 2 feet has a volume of 8 cubic feet.
7 0
3 years ago
What is the solution to the equation 3/5(x+4/3)=1.04
Fudgin [204]

Answer:

d

Step-by-step explanation

trust me bro

8 0
3 years ago
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