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3 years ago

Which statement describes the mapping? this is probably easy I’m just really dumb

Mathematics

1 answer:

castortr0y [4]3 years ago

6 0

Answer:

Not a function

Step-by-step explanation:

Well because I don't know what they're looking for, it is not a function because there is not one only one y value for each x value.

To be a function x must only have 1 y value or you're really describing a limit which isn't part of the outputs

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The value of a company in millions of dollars during its first 10 years increased by 2% each year.The original valuation of the

solong [7]

Answer:

Step-by-step explanation:

The rate at which the value of the company increased is exponential.

We would apply the formula for exponential growth which is expressed as

A = P(1 + r)^t

Where

A represents the value of the company after t years.

t represents the number of years.

P represents the initial value of the company.

r represents rate of growth.

From the information given,

P = 2.1 million

r = 2% = 2/100 = 0.02

t = x years

The function to represent the value of the company, x years after being founded is

A = 2.1 × 106(1 + 0.02)^x

Therefore, the worth of the company in 6 years is

A = 2.1 × 106(1 + 0.02)^16

A = 2.1 × 10^6(1.02)^6

2364941

The worth of the company in 2 years is

A = 2.1 × 10^6(1 + 0.02)^2

A = 2.1 × 10^6(1.02)^2

A = 2184840

The difference in worth of the company after 6 years and after 2 years is

2364941 - 2184840 = $180101

8 0

3 years ago

$500 principal earning 4% compounded quarterly, after 6 years?

sashaice [31]

Total = 500.00 * (1.04)^6
Total = 632.66

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3 years ago

Let (X1, X2, X3, X4) be Multinomial(n, 4, 1/6, 1/3, 1/8, 3/8). Derive the joint mass function of the pair (X3, X4). You should b

Ket [755]

Answer:

The random variables in this case are discrete since they have a Multinomial distribution.

The probability mass function for a discrete random variable X is given by:

$P(X=x_{i} )$

Where are $x_{i}$ are possible values of X.

The joint probability mass function of two discrete random variables X and Y is defined as

P(x,y) =P(X=x,Y=y).

It follows that, The joint probability mass function of $X_{3} , X_{4}$ is :

$P(X_{3}, X_{4} ) = P( X_{3} = x_{3}, X_{4} = x_{4} ) =\frac{1}{8} +\frac{3}{8} =\frac{1}{2}$

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3 years ago

I NEED HELP

4vir4ik [10]

Answer:

Step-by-step explanation:

3 0

3 years ago

Read 2 more answers

The stem-and-leaf plot shows the weights (in pounds) of yellowfin tuna caught during a fishing contest.

AysviL [449]

Answer:

The answer is "87 pounds".

Step-by-step explanation:

Please find the complete question in the attached file.

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3 years ago

Which statement describes the mapping? *this is probably easy I’m just really dumb*

Which statement describes the mapping? this is probably easy I’m just really dumb