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3 years ago

PLEASE ANSWER ASAP picture attached

Mathematics

1 answer:

SVETLANKA909090 [29]3 years ago

4 0

Answer:

$x^{2} -2x-8$

Step-by-step explanation:

(f g)(x) is equal to f(x) times g(x). So you just need to multiply both of the equations together. Use the foil method to multiply (x+2)(x-4)

$(fg)(x)=f(x)*g(x)\\\\(fg)(x)=(x+2)(x-4)\\\\(fg)(x)=x^{2} -4x+2x-8\\\\(fg)(x)=x^{2} -2x-8\\$

I have attached an image to better explain the foil method

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Mr. Grummage was dressed in a black frock coat with a stovepipe hat that added to his considerable height. His somber, sallow fa

lisov135 [29]

Answer:

I believe the answer is A, first person.

Step-by-step explanation:

In the story, "I" is being used.

7 0

3 years ago

A arcade game gives 8 tickets ,y, for every 5 games played,x.

Ray Of Light [21]

Answer:

5,8 or 8,5

Step-by-step explanation:

A arcade game gives 8 tickets this = y

For every 5 game played this = x

so we can make the assumption that every 5 games played he gets 8 tickets you can write this as 5,8 or. Every 5 game played is 8 tickets.

7 0

3 years ago

There are big spenders among University of Alabama football season ticket holders. This data set Roll Tide!! shows the dollar am

Bas_tet [7]

Using the z-distribution, as we have a proportion, the 95% confidence interval is (0.2316, 0.3112).

<h3>What is a confidence interval of proportions?</h3>

A confidence interval of proportions is given by:

$\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}$

In which:

$\pi$ is the sample proportion.

z is the critical value.

n is the sample size.

In this problem, we have a 95% confidence level, hence $\alpha = 0.95$ , z is the value of Z that has a p-value of $\frac{1+0.95}{2} = 0.975$ , so the critical value is z = 1.96.

We also consider that 130 out of the 479 season ticket holders spent $1000 or more at the previous two home football games, hence:

$n = 479, \pi = \frac{130}{479} = 0.2714$

Hence the bounds of the interval are found as follows:

$\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.2714 - 1.96\sqrt{\frac{0.2714(0.7286)}{479}} = 0.2316$

$\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.2714 + 1.96\sqrt{\frac{0.2714(0.7286)}{479}} = 0.3112$

The 95% confidence interval is (0.2316, 0.3112).

More can be learned about the z-distribution at brainly.com/question/25890103

7 0

2 years ago

Two of these numbers are the same value , which ones are they? 40%, .44 ,1/4 , 0.4 , 4/10

Wewaii [24]

Answer:

I'm pretty sure it is 0.4

Step-by-step explanation:

I really hope this helps

6 0

3 years ago

£(2= (1,5),(0,-2)，(3,2)}

zlopas [31]

Answer:

Step-by-step explanation:

h(4)=-1

g(h(4))=g(-1)=3

f(3)=2

5 0

2 years ago

PLEASE ANSWER ASAP *picture attached*

PLEASE ANSWER ASAP picture attached