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2 years ago

PLSS HELPP!! WILL GIVE BRAINLIEST

Mathematics

1 answer:

MAVERICK [17]2 years ago

8 0

$\huge \bf༆ Answer ༄$

Let's take Two terms x And y, according to graph ;

${ \qquad{ \sf{ \dashrightarrow}}} \: \: \sf \:y \propto x$ phlll

now, let's add a proportionality constant to convert proportionality to equation.

${ \qquad{ \sf{ \dashrightarrow}}} \: \: \sf \:y = kx$

let's plug the value of x and y from any ordered pair according to graph, I.e (5 , 3)

${ \qquad{ \sf{ \dashrightarrow}}} \: \: \sf \:3 = 5k$

${ \qquad{ \sf{ \dashrightarrow}}} \: \: \sf \:k = \dfrac{3}{5}$

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What is the GCF of 26 48 62

Bingel [31]

What factors to they have in common?

First, they're all even, so 2

if we divide all of them by 2, we get:
13,24,31

now, 13,31 are primes: so that means that those numbers don't have any more common factors!

So the greatest Common Factor of those 3 numbers is 2.

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3 years ago

Need help with this math question

Y_Kistochka [10]

Answer:

23%

Step-by-step explanation:

There are 4 male and 3 female freshmen. Thus the total number of freshmen is 7.

On the other hand, we have 14 male students and 16 female students. Thus the total number of students is 30.

If a student is selected at random, the probability that the student is a freshman is;

( 7/30) * 100 = 23.33%

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3 years ago

Is the answer a, b, c, or d?

lbvjy [14]

I hope this helps you

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3 years ago

Pls help me with question 3

kow [346]

No. I can’t. Just wanting to get some points man, 5 would be nice.

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3 years ago

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