Determine whether the following graph represents a function.

Answer:

Step-by-step explanation:

d

Answer:

A

Step-by-step explanation:

Answer:

f(7x−1)=63x−16

Step-by-step explanation:

Answer:

x=3

Step-by-step explanation:

since f(x) and g(x) are equal, we can make the equation, 9x-7 = 7x - 1

9x = 7x + 6, 2x = 6, x = 3

-3.7 is greater than -3.8, but is it not less than of equal to -3.8

Answer:

slope: m = 4

y intercept:  (0, -2)

x intercept: (1/2,0) the 1/2 is one half

the function is increasing

Answer:

20

Step-by-step explanation:

18 plus 20 equals 38

20 is bigger than 18

Answer:

If you're talking about solutions in general (real and imaginary solutions), there is 2, because the fundamental theorem of algebra says that the number of roots of any polynomial is the degree if it's highest power, which is 2.

If you're talking about only real solutions, there is 0. To show that, we can take the discriminant (b^2-4ac) part of the quadratic equation, and plug in the know values. We then get:

(-3)^2-4*2*12

=9-96

=-87

Remember, the discriminant will be taken the square root. Since this is negative, the answer will be imaginary. Therefore, there is no real solution.

Answer:

y=-2x+3

Step-by-step explanation:

the y-intercept is (0,3) and the slope is -2, just plug that in to the slope intercept form, y=mx+b

Pls mark as brainliest thank u.

Answer: 0.0496

Step-by-step explanation:

If events are said to be independent it means that the probability of one happening does not affect the probability of the other.

In calculating the probability that an employee is both male and a drug user using independent events, multiply the probabilities of the individual events to find the probability of the the events happening together.

P(A) * P(B) = P(A and B)

0.08 * 0.62 = 0.0496

Probabilities are used to determine the chances of events.

The probability that a randomly chosen employee is a male drug user is 0.0496

Represent the two events as A and B, such that:

[tex]P(A) = 0.08[/tex]

[tex]P(B) =0.62[/tex]

So, the probability that a randomly chosen employee is a male drug user is calculated as:

[tex]P(A\ and\ B) =P(A) \times P(B)[/tex]

This gives

[tex]P(A\ and\ B) =0.08 \times 0.62[/tex]

Multiply

[tex]P(A\ and\ B) =0.0496[/tex]

Hence, the probability that a randomly chosen employee is a male drug user is 0.0496

Read more about probabilities at:

https://brainly.com/question/20227629

Answer:

If i´m correct and read the answer correct it should be:

-18x³+80x²+65x+5

Step-by-step explanation:

Hopefully this is correct, I couldn't understand if (-2x 2+10x) was spaced or if it was being multiplied.

Answer:

True

Step-by-step explanation:

If he is doing 2 short runs and one long run, and his 2 short runs equal 2.25 miles, you'd need to subtract them from the total to find out the long run.

Answer:

The relative risk of being a college graduate for Boone County residents as compared to Cooper County residents is 3.11.

Step-by-step explanation:

Denote the events as follows:

C = Cooper County resident

B = Boone County resident

G = graduate

NG = non-graduate

The information provided is summarized as follows:

               G       NG     Total

     C       18       82       100

     B       28      22        50

Total       46      104      150

Compute the relative risk of being a college graduate for Boone County residents as compared to Cooper County residents as follows:

[tex]\text{Relative Risk}=\frac{\text{Graduates in Boone County}}{\text{Graduates in Cooper County}}[/tex]

                      [tex]=\frac{28/50}{18/100}\\\\=\frac{28}{50}\times \frac{100}{18}\\\\=3.11111\\\\\approx 3.11[/tex]

Thus, the relative risk of being a college graduate for Boone County residents as compared to Cooper County residents is 3.11.

The relative risk of remaining a college graduate for Boon County residents in comparison to Cooper County residents would be 0.500

Relative risk is used in the statistical analysis of the data of ecological, cohort, medical, and intervention studies, to estimate the strength of the association between exposures (treatments or risk factors) and outcomes. Mathematically, it is the incidence rate of the outcome in the exposed group.

The relative risk is calculated by dividing the probability of an event for group 1 divided by the probability of an event occurring for group 2.

The probability of the Boone country resided is a college graduate,

By the formula of classical probability [tex]P(A)=\frac{m}{n}[/tex] then,

[tex]\frac{18}{100}=0.18[/tex]

The probability of cooper country resided is a college graduate is,[tex]\frac{18}{50}=0.36[/tex]

The relative risk is being a college graduate Boone country resided as compared to cooper country resident is,

[tex]\frac{0.18}{0.36} =0.500[/tex]

Learn more about the topic of Relative risk:

https://brainly.com/question/24352707

Answer:

A)i) Population: Total number of people that reside in Florida..

II) Sample: 62348 people that took part in the random survey.

B) No, the estimates are not close to the truth of the entire population.

Step-by-step explanation:

A)i) The population is the total number of people that reside in Florida.

II) The sample is the 62348 people that took part in the random survey.

B) From the details given in the question, we will see that people who are not part of the healthcare system weren't included due to the fact that they used patients records to judge. This means that if they don't have healthcare, then they will have no patient records. Therefore, we can conclude that the estimates are not close to the truth of the entire population due to the fact that that those who weren't part of the Healthcare system were not considered.

Answer:

a. [tex]\frac{5x}{(x+3)}[/tex]

b. [tex]\frac{5x}{(x+3)}[/tex]

Step-by-step explanation:

Given that:

a. [tex](\frac{25x^{2} }{2x+6})[/tex] x [tex](\frac{2}{5x})[/tex] = [tex]\frac{50x^{2} }{5x(2x+6)}[/tex]

                        = [tex]\frac{50x^{2} }{10x^{2} +30x}[/tex]

                        = [tex]\frac{(50x)x}{(10x+30)x}[/tex]

                        = [tex]\frac{50x}{(10x+30)}[/tex]

                         = [tex]\frac{5x}{(x+3)}[/tex]

b. [tex](\frac{25x^{2} }{2(x+3)})[/tex] x [tex](\frac{2}{5x})[/tex] = [tex]\frac{50x^{2} }{10x(x+3)}[/tex]

                           = [tex]\frac{5x}{(x+3)}[/tex]

Therefore,

[tex](\frac{25x^{2} }{2x+6})[/tex] x [tex](\frac{2}{5x})[/tex] = [tex](\frac{25x^{2} }{2(x+3)})[/tex] x [tex](\frac{2}{5x})[/tex] = [tex]\frac{5x}{(x+3)}[/tex]

Answer:

option C

Step-by-step explanation:

egg 2023

Answer: What's the question?

Step-by-step explanation:

Answer:

Step-by-step explanation:

x2 - 4x - 12 = 0

x2 - 6x + 2x - 12= 0

x(x - 6) + 2(x - 6) = 0

x + 2 = 0

x = - 2

x - 6 = 0

x = 6

Answer:

The probability that, in any hour, less than 2 customers will arrive is 0.0067.

Step-by-step explanation:

The random variable X can be defined as the number of customers arriving hourly at the drive-through window at the Fidelity Credit Union.

The random variable X describes a finite number of occurrences of an event in a fixed time interval.

The random variable X follows a Poisson distribution with parameter λ = 7.1.

The probability mass function of X is:

[tex]P(X=x)=\frac{e^{-7.1}(7.1)^{x}}{x!};x=0,1,2,3...[/tex]

Compute the probability of less than 2 customers arriving as follows:

[tex]P(X<2)=P(X=0)+P(X=1)[/tex]

                [tex]=\frac{e^{-7.1}(7.1)^{0}}{0!}+\frac{e^{-7.1}(7.1)^{1}}{1!}\\\\=0.00083+0.00586\\\\=0.00669\\\\\approx 0.0067[/tex]

Thus, the probability that, in any hour, less than 2 customers will arrive is 0.0067.

Wait Jimmy what are you doing here I didn't expect this

so we meet again, brother.

Answer:

Because Karen found your briefcase of $1 bills and some crusty socks.

Get over the divorce Jimmy, she doesn't like fax machines.

Answer:

45=2w+L and L=2w+5          

45=2w+L                                  45=2w+(2w+5)

                                                45=4w+5

                                                40=4w

                                                10=w                  

L=2w+5                                    L=2(10)+5

                                                L=20+5

                                                L=25                        

The length of the patio is 25 feet and the width of one side of the patio is 10 feet. Because there are two width sides and one length side, this all adds up to be 45 feet long.

Can I get brainliest please?

Answer:

A power function is a function with a single term that is the product of a real number, a coefficient, and a variable raised to a fixed real number.

Answer:

THEY DIDN'T IT WAS BECAUSE THEY MADE UP A FAKE RUMER AND HAD TO MAKE IT LOOK REAL

Step-by-step explanation:

Answer:

Step-by-step explanation:

The rate of the change of the car is is its speed.

Speed = distance/time

Given

Distance = 27x³-9x²+3x

Time = 3x hours

Speed =  27x³-9x²+3x/3x

factor out 3x from the numerator:

Speed = 3x(9x²-3x+1)/3x

Speed = 9x²-3x+1

Hence the rate of the car is 9x²-3x+1

Complete Question

The complete question is shown on the first uploaded image

Answer:

a

      [tex]P(U |D ) = 0.198 [/tex]

b

   [tex]P(O\ n \ B) = 0.188[/tex]

c

  [tex]P(O | B) =   0.498 [/tex]

Step-by-step explanation:

The total number of deaths is mathematically represented as

      [tex]T   =  16 +  23 + \cdots  +  16[/tex]

        [tex]T   =623 [/tex]

The total number of deaths in 1996 - 2000 is mathematically represented as

     [tex]T_a =  16 +  23+ \cdots + 30[/tex]

      [tex]T_a = 235 [/tex]

The total number of deaths in 2001 - 2005 is mathematically represented as

     [tex]T_b =  17 +  16 + \cdots + 23[/tex]

      [tex]T_b = 206 [/tex]

The total number of deaths in 2006 - 2010 is mathematically represented as

     [tex]T_c =  15 +  17 + \cdots + 16[/tex]

      [tex]T_d = 182 [/tex]

Generally the the probability that it would occur under the tree given that the death was  after  2000 is mathematically represented as

     [tex]P(U |D ) = \frac{P(A \ n\  U )}{P(A)}[/tex]

Here  [tex]P(A \ n\  U )[/tex] represents the probability that it was after 2000 and it was under the tree and this is mathematically represented as

         [tex]P(A \ n\  U )   = \frac{Z}{ T}  [/tex]

Here Z is the total number of death under the tree after 2000 and it is mathematically represented as

         [tex]Z =  35 +  42[/tex]

=>       [tex]Z =  77 [/tex]

=>       [tex]P(A \ n\  U )   = \frac{77}{ 623}  [/tex]

=>      

Also

     [tex]P(A)[/tex] is the probability of the death occurring after 2000  and this is mathematically represented as

        [tex]P(A) =  \frac{T_b  +  T_c}{ T}[/tex]

=>      [tex]P(A) =  \frac{ 206+  182}{623}[/tex]

=>  

So

         [tex]P(U |D ) = \frac{\frac{77}{ 623} }{ \frac{ 206+  182}{623}}[/tex]

=>      [tex]P(U |D ) = 0.198 [/tex]

Generally the probability that the death was from camping or being outside and was before 2001 is mathematically represented as

      [tex]P(O | B) = \frac{T_z}{ T}[/tex]

Here [tex]T_z[/tex] is the total number of death outside / camping before 2001  and the value is  117  

So

            [tex]P(O \ n \ B) = \frac{117}{623}[/tex]

=>          [tex]P(O\ n \ B) = 0.188[/tex]

Generally the probability that the death was from camping or being outside given that it was before 2001 is mathematically represented as

       [tex]P(O | B) =  \frac{ P( O \ n \ B)}{ P(B)}[/tex]

Here [tex]P(B)[/tex] is the probability that it was before 2001 , this is mathematically represented as  

          [tex]P(B ) =  \frac{T_a}{T}[/tex]

=>       [tex]P(B ) =  \frac{235}{623}[/tex]

So

          [tex]P(O | B) =  \frac{ \frac{117}{623}}{ \frac{235}{623}}[/tex]

=>       [tex]P(O | B) =   0.498 [/tex]

Answer:

It would take 8 minutes to cook 2 pizzas in a brick oven.

Step-by-step explanation:

Answer:

It would take 8 minutes to cook 2 pizzas in a brick oven.

Quantity of flour needed to make 20 pancakes =

[tex] = 1 \frac{2}{3} \: [/tex]

[tex] = \frac{3 \times 1 + 2}{3} [/tex]

[tex] = \frac{5}{3} \: cups \: of \: flour[/tex]

Then , number of pancakes that can be made from 1 cup of floor :-

[tex]20 \div \frac{5}{3} [/tex]

[tex]20 \times \frac{3}{5} [/tex]

[tex] \frac{60}{5} [/tex]

[tex] = 12 \: pancakes[/tex] .

Therefore , 12 pancakes can be made from 1 cup of floor .

Number of pancakes that can be made with 1 cup of flour = 12 pancakes

Number of pancakes that can be made with 9 cups of flour :-

= 9 × 12

= 108 pancakes

Therefore , I can make 108 pancakes with 9 cups of flour .

Yes , I have enough flour to make 100 pancakes . I say this because :-

With one cup of flour I can make = 12 pancakes

With 9 cups of flour I can make =

= 9 × 12

= 108 pancakes

As I can make 108 pancakes with 9 cups of flour , I can conclude that I have enough flour to make 100 pancakes .