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Likurg_2 [28]
3 years ago
9

Duc works for a salary of $2,200 per month. His computed hourly rate of pay is $13.75 per hour. Although Duc earns a salary, he

sometimes qualifies for overtime pay for special situations. For overtime hours, he earns 1½ times his regular computed hourly rate. Last month, he worked for 14 paid overtime hours. He has federal income tax withheld at the rate of 15%, social security tax at the rate of 6.2%, Medicare tax at the rate of 1.45%, and health insurance premiums of $85 per month. What was his net pay?
Mathematics
2 answers:
leva [86]3 years ago
5 0
Assuming 2200$ is his salary WITHOUT overtime, my answer is approximatively: 1794.88$
Slav-nsk [51]3 years ago
3 0
Net pay is take-home pay or pay after tax so 2200 per month assume that 2200 is salary without overtime counted 13.75 per hour overtime=1 and 1/2 times regular so worked 14 overtime hours or 14 times 1 and 1/2 times 13.75=288.75 add to salary 2488.75 take taxes so take 15% and 6.2% and 1.45% and $85, so add the percents up and subtract 15+6.2+1.45=22.65% subtract from 100 to find how much left 100-22.65=77.35% left multiply this to total salary which is overtimepay+salary=2488.75 77.35%=0.7735 0.7735 times 2488.75=1925.05 then subtract health insurance premiums which is 85 1925.05-85=1840.05 his net pay was $1840.05
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Rudiy27
Perimeter is the sum of all the sides. So we can set up an equation:

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Now solve for 'x', combine like terms:

When it comes to terms with variables it's just like normal addition but we keep the variable:

\sf 3x+3x+3x+3x=12x
\sf 2x+x+4x=7x

So we have:

\sf 12x+1+1+1+1=7x+8+8+2

Add:

\sf 12x+4=7x+18

Subtract 7x to both sides:

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Step-by-step explanation:

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Radda [10]
The complete question in the attached figure

we know that
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Binomial Probability
ASHA 777 [7]

Answer:

4.39% theoretical probability of this happening

Step-by-step explanation:

For each coin, there are only two possible outcomes. Either it lands on heads, or it lands on tails. The probability of a coin landing on heads is independent of other coins. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

Theoretically, a fair coin

Equally as likely to land on heads or tails, so p = \frac{1}{2} = 0.5

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This means that n = 10

What is the theoretical probability of this happening?

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