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vazorg [7]
2 years ago
5

5/2x5/3x5/4 Solve for the volume Please help

Mathematics
1 answer:
Arada [10]2 years ago
4 0

Answer:

ur a sixth grader do the spiral review dabs

Step-by-step explanation:

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Which describes the graph of y= (x - 4)2 - 1?
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Answer:

Step-Opens up with a vertex at (4,-1)by-step explanation:

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2 years ago
Complete the following sentence.
coldgirl [10]

Answer:arc lengths; radius

l guzz.. sry if wrong....

7 0
3 years ago
Help please asap algebra 2
timurjin [86]
X = approximately 633

Steps:
lnx + ln3x = 14

ln3x^2 = 14 : Use the log property of addition which is to multiply same log                           together so you multiply x and 3x because they have log in                                common

  (ln3x^2) =  (14)  : take base of e on both sides to get rid of the log
e                e

3x^2 = e^14  : e cancels out log on the left side and the right side is e^14 

x^2 = e^14 / 3 : divide both sides by 3

√x^2 = <span>√(e^14 / 3) : take square root on both sides to get rid of the square 2                                  on x
</span>
x = √(e^14) / <span>√3 : square root cancels out square 2 leaving x by itself

x = e^7 / </span>√3 : simplify the √(e^14) so 14 (e^14) divide by 2 (square root) = 7<span>

x = </span>633.141449221 : solve 
4 0
2 years ago
Simplify 13x + 7y - 2x + 6a
VLD [36.1K]

Step-by-step explanation:

13x+7y-2x+6a

combine like terms

=13x-2x+7y+6a

=11x+7y+6a

simplified

8 0
3 years ago
Read 2 more answers
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
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