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Likurg_2 [28]
3 years ago
9

The given graph represents the function f(x) = 2(5)

Mathematics
2 answers:
ddd [48]3 years ago
6 0
The answer is I’m
Not sure but like 5
pshichka [43]3 years ago
3 0

Answer:

It's C on e2020

Step-by-step explanation:

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Find the surface area of this prism. Round to the nearest tenth. Help, please!!!
storchak [24]

Answer:

i dont no sorry about that

3 0
3 years ago
What is the equation of a line perpendicular to y= 3/4x +12 that passes through (12, 3)
ycow [4]

Answer:

y=-4/3x-9

 

=

−

4

3

x

−

9

Step-by-step explanation:

First we need to get the slope of the perpendicular line

The slope of a perpendicular line is equal to the negative inverse of the slope of the given line

y

=

m

x

+

b

y

=

3

4

x

−

2

⇒

m

=

3

4

m

'

=

−

1

m

⇒

m

'

=

−

1

3

4

⇒

m

'

=

−

4

3

Now that we have the slope, we need to find the y-intercept.

To find the y-intercept, we need to plug-in values of  

x

and  

y

that the line passes through

y

'

=

m

'

x

'

+

b

⇒

y

'

=

−

4

3

x

'

+

b

⇒

7

=

−

4

3

(

−

12

)

+

b

⇒

7

=

16

+

b

⇒

b

=

−

9

Therefore, the equation of the line is

y

=

−

4

3

x

−

9

4 0
3 years ago
The line of best fit is also known as the _
bearhunter [10]

Answer:

the regression line

Step-by-step explanation:

5 0
2 years ago
What is the likelihood that a fair coin will land heads or tails?
Marina CMI [18]

Answer:

I believe it is 0.5

Step-by-step explanation:

If you flip a normal coin (called a “fair” coin in probability parlance), you normally have no way to predict whether it will come up heads or tails. Both outcomes are equally likely. There is one bit of uncertainty; the probability of a head, written p(h), is 0.5 and the probability of a tail (p(t)) is 0.5. The sum of the probabilities of all the possible outcomes adds up to 1.0, the number of bits of uncertainty we had about the outcome before the flip. Since exactly one of the four outcomes has to happen, the sum of the probabilities for the four possibilities has to be 1.0. To relate this to information theory, this is like saying there is one bit of uncertainty about which of the four outcomes will happen before each pair of coin flips. And since each combination is equally likely, the probability of each outcome is 1/4 = 0.25. Assuming the coin is fair (has the same probability of heads and tails), the chance of guessing correctly is 50%, so you'd expect half the guesses to be correct and half to be wrong. So, if we ask the subject to guess heads or tails for each of 100 coin flips, we'd expect about 50 of the guesses to be correct. Suppose a new subject walks into the lab and manages to guess heads or tails correctly for 60 out of 100 tosses. Evidence of precognition, or perhaps the subject's possessing a telekinetic power which causes the coin to land with the guessed face up? Well,…no. In all likelihood, we've observed nothing more than good luck. The probability of 60 correct guesses out of 100 is about 2.8%, which means that if we do a large number of experiments flipping 100 coins, about every 35 experiments we can expect a score of 60 or better, purely due to chance.

6 0
3 years ago
Read 2 more answers
By rounding to 1 significant figure, estimate<br> 22.4 x 49.8
seropon [69]
Answer is 1115,5
here is how

5 0
3 years ago
Read 2 more answers
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