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emmasim [6.3K]
3 years ago
9

Can someone plz help me with this one problem plz!!!!!

Mathematics
2 answers:
docker41 [41]3 years ago
8 0

Answer:

0

6

12

18

Step-by-step explanation:

y=6x so

if x=0 y=0 because 6*0=0

if x=1 y=6 because 6*1=6

so on so

6*2=12=y

6*3=18=y

6*4=24 (if there is...)

anyanavicka [17]3 years ago
5 0

Answer:

Ive listed the answers below

Step-by-step explanation:

x      y

0     0

1      6

2     12

3     18

4     24

5     30

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Can someone help with this question
nevsk [136]

Answer:

It should I only looked at the first few columns and the matched up

Step-by-step explanation:

5 0
3 years ago
I’m currently working on my quadrilaterals unit (specifically with trapezoids & kites) and I need major help on a lot of the
allochka39001 [22]

Answer: 29.2

Step-by-step explanation:

The lengths of the two longer legs are both \sqrt{8^2 + 4^2}=\sqrt{80}

The lengths of the two shorter legs are both \sqrt{4^2+4^{2}}=\sqrt{32}

So P=2\sqrt{80}+2\sqrt{32} \approx 29.2

5 0
2 years ago
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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
I need help please help me!
MaRussiya [10]

Answer:

36ft³

Step-by-step explanation:

Bottom rectangular prism: 2x2x6=24

Top rectangular prism: 2x2x3=12

24+12=36ft³

6 0
4 years ago
Read 2 more answers
How to do this Question a please help from the smallest to the biggest
Pachacha [2.7K]
A. turn all fractions into decimals or all decimals into fractions; I've decided to turn all fractions into decimals

525
------- = 0.525
1000

3
-- = 0.75 = 0.750 ~ (add a zero at the end to make the decimal places         4                                equal with 0.525)

0.55 = 0.55 = 0.550 ~<span>(add a zero at the end to make the decimal places                                         equal with 0.525 and 0.750)
</span>
<span>                                          Answer to Problem 'a':</span>

Smallest = 0.525 = 525
                              -------
                              1000

Middle = 0.550 = 0.55

Largest = 0.750 = 3
                              --
                              4

b. <span>turn all fractions/mixed fractions into decimals or all decimals into fractions; I've decided to turn all fractions/mixed fractions into decimals
</span>
3.805 = 3.805

3.85 = 3.850 ~ ( <span>add a zero at the end to make the decimal places equal                                with 3.805)
</span>
3 4/5 = 80
           ----- = 0.80  =0.800 ~ (add a zero at the end to make the decimal
           100                              places equal with 3.805 and 3.850)

                                 Answers to Problem 'b':

Smallest = 0.800 = 0.80 = 3 4/5

Middle = 3.805 = 3.805

Largest = 3.850 = 3.85

5 0
3 years ago
Read 2 more answers
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