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3 years ago

Which ordered pair tells the location of the smiley face on the coordinate system?

Mathematics

1 answer:

Jet001 [13]3 years ago

8 0

Answer:

(5,2)

Step-by-step explanation:

You have to look to the X axis and you'll see the smiley face 5 bars/lines across from the vertex or 0.

Next, you'll need to look at the Y axis and see that the smiley face is 2 bars/lines vertically from 0.

So all you need to do is put the numbers into (x,y) and you'll get (5,2)

Hope this helps!

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PLEASE HELP!!!!

frozen [14]

A) $\frac{2 \frac{1}{4}}{ \frac{1}{2}}$
b) $\frac{1}{2}$ • 2 = 1
so $\frac{9}{4}$ • 2 = $\frac{9}{2}$ cups (which is $4 \frac{1}{2}$ )

5 0

2 years ago

Find the common factor of all the terms of the polynomial 16x2 - 14x.

zysi [14]

Answer:

2x(8x-7)

Step-by-step explanation:

6 0

3 years ago

Find all exact solutions on the interval 0 ≤ x < 2π.

masya89 [10]

Answer:

View Image

x = π/6, 5π/6, 7π/6, 11π/6

Step-by-step explanation:

The only things you need to know are 2 things:

1.) $csc^2(x)=(csc(x))^2$ , the exponent of trig functions are written in the middle

2.) $csc(x)=\frac{1}{sin(x)}$ , csc() is just the inverse of sin()

3 0

2 years ago

90 hundreds = how many thousands

alina1380 [7]

we know that

$90 hundreds=90*100\\ =9,000$

and

$one.thousand=1,000$

Divide

$9,000$ by $1,000$

$\frac{9,000}{1,000} =9$

therefore

the answer is

$9$

3 0

2 years ago

Read 2 more answers

The number and frequency of Atlantic hurricanes annually from 1940 through 2007 is shown here:

klio [65]

Answer:

The probability table is shown below.

A Poisson distribution can be used to approximate the model of the number of hurricanes each season.

Step-by-step explanation:

(a)

The formula to compute the probability of an event E is:

$P(E)=\frac{Favorable\ no.\ of\ frequencies}{Total\ NO.\ of\ frequencies}$

Use this formula to compute the probabilities of 0 - 8 hurricanes each season.

The table for the probabilities is shown below.

(b)

Compute the mean number of hurricanes per season as follows:

$E(X)=\frac{\sum x f_{x}}{\sum f_{x}}=\frac{176}{68}= 2.5882\approx2.59$

If the variable X follows a Poisson distribution with parameter λ = 7.56 then the probability function is:

$P(X=x)=\frac{e^{-2.59}(2.59)^{x}}{x!} ;\ x=0, 1, 2,...$

Compute the probability of X = 0 as follows:

$P(X=0)=\frac{e^{-2.59}(2.59)^{0}}{0!} =\frac{0.075\times1}{1}=0.075$

Compute the probability of X = 1 as follows:

$\neq P(X=1)=\frac{e^{-2.59}(2.59)^{1}}{1!} =\frac{0.075\times7.56}{1}=0.1943$

Compute the probabilities for the rest of the values of X in the similar way.

The probabilities are shown in the table.

On comparing the two probability tables, it can be seen that the Poisson distribution can be used to approximate the distribution of the number of hurricanes each season. This is because for every value of X the Poisson probability is approximately equal to the empirical probability.

5 0

3 years ago