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vredina [299]
3 years ago
13

Your total FICA contribution which includes Social Security and Medicare is 15.3% of your salary. 12.4% of your FICA contributio

n is for Social Security. Your annual income is $67,525. What will be the total deduction be for you and your employer for Medicare?
Mathematics
1 answer:
Allisa [31]3 years ago
6 0

Answer:

$1,958.23

Step-by-step explanation:

Annual income = $67,525

Total FCIA = 15.3% of salary

Since my annual income is $67,525 the FCIA contribution = 15.3%.

But 12.4% is for Social Security.

The remaining 2.9%(15.3% - 12.4%) will be for Medicare taxes.

The total deduction for I and my employer for medicare taxes will be:

2.9% * $67,525

= $1,958.225

The total deduction for medicare would be: $1,958.23

Note: Assuming we were asked to calculate only employee's medicare, the deduction would be 50% of $1,958.23.

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Answer:

True

Step-by-step explanation:

Yes, this is True because dotted lines are not part of the solution on a graph.

Sorry! Can't be explained more than this!

3 0
3 years ago
Read 2 more answers
Factorise the following
andreyandreev [35.5K]

Answer:

Below.

Step-by-step explanation:

a) 5x-x² = x(5 - x).

b) x²-6x-27 = (x - 9)(x + 3).

c) x²+x-56 = (x - 7)(x + 8).

d) x³+8 = (x + 2)(x^2 - 2x + 4)

e) 3x⁴-54t = 3(x^4 - 18t)

f) x²+3x-10 = (x - 2)(x + 5)

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h) 20(x³-1)​ = 20(x - 1)(x^2 + x + 1)

7 0
2 years ago
In a stadium, 1,000 tickets were sold. Children’s tickets cost $2.50 each and adults’ tickets cost $5.00 each. The revenue colle
Juli2301 [7.4K]

Answer:

400 children tickets and 600 adult tickets.

Step-by-step explanation:

children tickets in total cost=400x2.50

                                             =1000

adult tickets in total cost=600x5.00

                                             =3000

total cost is 4000

4 0
2 years ago
A filtration process removes a random proportion of particulates in water to which it is applied. Suppose that a sample of water
Doss [256]

Answer:

E(Y)=\frac{1}{25}

Step-by-step explanation:

Let's start defining the random variables for this exercise :

X_{1}: '' The proportion of the particulates that are removed by the first pass ''

X_{2}: '' The proportion of what remains after the first pass that is removed by the second pass ''

Y: '' The proportion of the original particulates that remain in the sample after two passes ''

We know the relation between the random variables :

Y=(1-X_{1})(1-X_{2})

We also assume that X_{1} and X_{2} are independent random variables with common pdf.

The probability density function for both variables is f(x)=4x^{3} for 0 and f(x)=0 otherwise.

The first step to solve this exercise is to find the expected value for X_{1} and X_{2}.

Because the variables have the same pdf we write :

E(X_{1})= E(X_{2})=E(X)

Using the pdf to calculate the expected value we write :

E(X)=\int\limits^a_b {xf(x)} \, dx

Where a= ∞ and b= - ∞ (because we integrate in the whole range of the random variable). In this case, we will integrate between 0 and 1 ⇒

Using the pdf we calculate the expected value :

E(X)=\int\limits^1_0 {x4x^{3}} \, dx=\int\limits^1_0 {4x^{4}} \, dx=\frac{4}{5}

⇒ E(X)=E(X_{1})=E(X_{2})=\frac{4}{5}

Now we need to use some expected value properties in the expression of Y ⇒

Y=(1-X_{1})(1-X_{2}) ⇒

Y=1-X_{2}-X_{1}+X_{1}X_{2}

Applying the expected value properties (linearity and expected value of a constant) ⇒

E(Y)=E(1)-E(X_{2})-E(X_{1})+E(X_{1}X_{2})

Using that X_{1} and X_{2} have the same expected value E(X) and given that X_{1} and X_{2} are independent random variables we can write E(X_{1}X_{2})=E(X_{1})E(X_{2})   ⇒

E(Y)=E(1)-E(X)-E(X)+E(X_{1})E(X_{2}) ⇒

E(Y)=E(1)-2E(X)+[E(X)]^{2}

Using the value of E(X) calculated :

E(Y)=1-2(\frac{4}{5})+(\frac{4}{5})^{2}=\frac{1}{25}

E(Y)=\frac{1}{25}

We find that the expected value of the variable Y is E(Y)=\frac{1}{25}

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3 years ago
SUPER EASY WILL GIVE BRAINLEIST IF DONE BY 5:30 PM. PLEASE ANSWER SERIOUSLY OR WILL REPORT USER. THANK YOU <3
Kruka [31]

Answer:

X and Y would be the same number.

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(1,1) (2,2) (-2,-2)

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Step-by-step explanation:

7 0
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