Ask question

Ask question

All categories

3 years ago

13

Can you help plz!!!!

1 answer:

Zolol [24]3 years ago

8 0

Okay so the table represents B, in one hour of work, the person will make 18.25 (you get this by dividing 36.50 by two because that is how much they made in two hours, we need to know how much they make in one)
Therefore, the equation for A, which has to be less than B, would be either be Y=18x or Y=18.1x

You might be interested in

NEED HELP ASAP !!Write an equation of the line with :

Alex777 [14]

Answer:

$3 = x$

Step-by-step explanation:

Any value set to equal <em>x</em><em> </em>is considered an undefined <em>rate</em><em> </em><em>of</em><em> </em><em>change</em><em> </em>[<em>slope</em>].

I am joyous to assist you anytime.

8 0

3 years ago

Assignment Active Identifying the Rules of Exponents to Evaluate Which rules of exponents will be used to evaluate the expressio

Natali [406]

Answer:

its 44

Step-by-step explanation:

because IRS 444 j utf d funk nhc ddh

3 0

2 years ago

Vlad is playing on a swing set.

Nezavi [6.7K]

Answer:

D(t)=-cos(3t)

Step-by-step explanation:

6 0

3 years ago

Can somebody please help me on this :)

Rasek [7]

On what I don’t see it

5 0

3 years ago

Suppose that the number of customers that enter a bank in an hour is a Poisson random variable, and suppose that P(X = 0) = 0.09

Ksju [112]

Answer:

$E(X) = V(X) = 2.41$

Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

$P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}$

In which

x is the number of sucesses

e = 2.71828 is the Euler number

$\mu$ is the mean in the given interval.

In the Poisson distribution, the mean is the same as the variance.

P(X = 0) = 0.09

$P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}$

$P(X = 0) = \frac{e^{-\mu}*\mu^{0}}{(0)!} = e^{-\mu}$

So

$e^{-\mu} = 0.09$

We apply ln to both sides, which is the inverse operation of the exponential.

So

$\ln{e^{-\mu}} = \ln{0.09}$

$-\mu = -2.41$

Multiplying by -1

$\mu = 2.41$

So

$E(X) = V(X) = 2.41$

8 0

3 years ago