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inna [77]
3 years ago
13

Pension = 12% of salary

Mathematics
1 answer:
nadya68 [22]3 years ago
7 0

Answer:

Salary = $43,313.40

Step-by-step explanation:

Let his salary be x.

Now we're told that;

Pension = 12% of his salary = 0.12x

Health Insurance = 0.3% of salary = 0.003x

Disability Insurance = 0.4% of salary = 0.004x

Since his total contract with benefits is worth $48,814.20

This means that;

x + 0.12x + 0.003x + 0.004x = 48814.2

1.127x = 48814.2

x = 48814.2/1.127

x = $43,313.40

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Which is greater or equal 7/10 or 9/100
Pavlova-9 [17]

9/100 is less because if we multiply 7/10 by 10 (to get an equivalent fraction with a denominator the same as the other fraction [100]) we get 70/100, which is way more than 9/100.

So, 7/10 is greater than 9/100

Hope this helps!

3 0
2 years ago
2/3 divided by 5 please help me I'm bad at math (it needs to be a fraction)
Viefleur [7K]

Answer:

The answer is 4

Step-by-step explanation: I did the work and it works out like that I hope this helps

3 0
3 years ago
What is 2 to the power of 2 multiply 5​
solniwko [45]
Answer: 20

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8 0
3 years ago
Evaluate 23x + 4y when x=20 and y=23
never [62]

Answer:

552

Step-by-step explanation:

23x + 4y when x=20 and y=23

if x=20 and y=23 all you have to do is replace the numbers and solve

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Then you multiply 4*23 which is equal to 92

The problem is now 460 + 92

add it, and you get 552.

Hope this helps!!

-Ketifa

3 0
3 years ago
vDetermine if a Poisson experiment is described, and select the best answer: Suppose we knew that the average number of typos in
goldenfox [79]

Answer:

probability that a randomly selected page that contains only text will contain no typos that is

P(x=0) = e^{-0.08} = 0.923

Step-by-step explanation:

<u>Poisson distribution</u>:-

Explanation of the Poisson distribution :-

The Poisson distribution can be derived as a limiting case of the binomial

distribution under the conditions that

i) p is very small

ii) n is very large

ii) λ = np (say finite

The probability of 'r' successes = \frac{e^{-\alpha }\alpha^r  }{r!}

Given the average number of typos ∝ = 0.08 per page.

probability that a randomly selected page that contains only text will contain no typos that is = p(x=0) = \frac{e^{-0.08 }\(-0.08)^0  }{0!}

After calculation P(x=0) = e^{-0.08} = 0.923

probability that a randomly selected page that contains only text will contain no typos =0.923

5 0
2 years ago
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