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3 years ago

6

Paul's bathtub is clogged. He has to empty 30 liters of water by hand. If Paul carries two buckets each trip, what combination o

f sizes allow him to empty the bathtub in exactly 4 trips?

1 answer:

mojhsa [17]3 years ago

3 0

5 liter bucket with the 3 liter bucket twice, and then use the 3 liter bucket and the 4 liter bucket twice.

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What is the perimeter of the figure?

Fudgin [204]

Answer: C. 16.9

Step-by-step explanation: To find the perimeter you have to add all the sides of the figure.

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3 years ago

Can some one please help me <br><br>solve: 6(x+4) = 30

DochEvi [55]

Answer:

6(x+4)=30

6x+24=30

6x+24-24=30-24

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Step-by-step explanation:

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3 years ago

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Ravi buys pounds of flour. How many ounces of flour does he buy?

Umnica [9.8K]

There is 16 ounces in each pound, how ever many pounds it is multiply 16 by the number of pounds,

Step-by-step explanation:

how ever many pounds it is multiply 16 by the number of pounds,

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3 years ago

Find the x-intercepts of the parabola with vertex (-3,-18) and y-intercept at (0,0)

statuscvo [17]

Y + 18 = a(x + 3)^2
<span>0 + 18 = a(0 + 3)^2 </span>
<span>18 = 9a </span>
<span>2 = a
</span>
<span>y = 2(x + 3)^2 - 18 </span>
<span>0 = 2(x + 3)^2 - 18 </span>
<span>18 = 2(x + 3)^2 </span>
<span>9 = (x + 3)^2 </span>
<span>± 3 = x + 3 </span>
<span>-3 ± 3 = x </span>
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5 0

3 years ago

It is believed that 3% of people actually have this predisposition. The genetic test is 99% accurate if a person actually has th

fiasKO [112]

Answer:

Required Probability = 0.605

Step-by-step explanation:

Let Probability of people actually having predisposition, P(PD) = 0.03

Probability of people not having predisposition, P(PD') = 1 - 0.03 = 0.97

Let PR = event that result are positive

Probability that the test is positive when a person actually has the predisposition, P(PR/PD) = 0.99

Probability that the test is positive when a person actually does not have the predisposition, P(PR/PD') = 1 - 0.98 = 0.02

So, probability that a randomly selected person who tests positive for the predisposition by the test actually has the predisposition = P(PD/PR)

Using Bayes' Theorem to calculate above probability;

P(PD/PR) = $\frac{P(PD)*P(PR/PD)}{P(PD)*P(PR/PD)+P(PD')*P(PR/PD')}$

= $\frac{0.03*0.99}{0.03*0.99+0.97*0.02}$ = $\frac{0.0297}{0.0491}$ = 0.605 .

7 0

3 years ago