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3 years ago

Jack's gross weekly pay is $498. He has $52 withheld from each paycheck for federal income

Mathematics

1 answer:

maks197457 [2]3 years ago

5 0

Answer:

A. 56.78 B. 389.22

Step-by-step explanation:

A.Social security: 498x.062=30.88

medicare: 498x.0145=7.22

state tax: 498x.025=12.45

local tax: 498x.0125=6.23

total of above = 56.78

B. Total taxes above (56.78) + federal withheld (52) = total taxes 108.78

total pay 498 - total taxes 108.78 = 389.22

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D. Determine if the relations’ graph forms a line.

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2 years ago

Ayush and sumit take two different routes to school. Ayush's route is 1km 2hm long while sumit route is 2hm 30dam long while rou

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Ayush's route is 0.7 km or 700m longer than Sumit route.

Step-by-step explanation:

Ayush's route is 1km 2hm long while sumit route is 2hm 30dam.

We know that,

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1 dam = 0.1 hm

Using these conversions we get

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3 years ago

Read 2 more answers

Solve the equation. Then check your solution. – two-fifths + a = One-fifth a. Three-fifths c. StartFraction 3 Over 10 EndFractio

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Answer:

A . a = 3/5

Step-by-step explanation:

- 2/5 + a = 1/5

Add 2/5 to each side

-2/5 + a + 2/5 = 1/5 + 2/5

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3 years ago

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Answer:

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b) The sample deviation is calculated from the following formula:

$s=\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}$

And for this case after replace the values and with the sample mean already calculated we got:

$s=0.0036$

If we assume that the data represent a population then the standard deviation would be given by:

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And then the deviation would be:

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Step-by-step explanation:

For this case we have the following dataset:

67.401, 67.400, 67.402, 67.396, 67.406, 67.401, 67.396, 67.401, 67.405, and 67.404

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For this case the most probably value would be the sample mean given by this formula:

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And if we replace we got:

$\bar X =\frac{67.401+67.400+67.402+67.396+67.406+67.401+67.396+67.401+67.405+67.404}{10}=67.401$

Part b: Determine the standard deviation

The sample deviation is calculated from the following formula:

$s=\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}$

And for this case after replace the values and with the sample mean already calculated we got:

$s=0.0036$

If we assume that the data represent a population then the standard deviation would be given by:

$\sigma=\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n}}$

And then the deviation would be:

$\sigma =0.00319$

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Choice B:
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