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Molodets [167]
4 years ago
9

Please help me with this question please!! Steven is taxed 1/3 of his weekly wages. He saved 1/8 of what is left over. He saves

$40 every week. How much does he earn every week before he is taxed?
Mathematics
1 answer:
Mice21 [21]4 years ago
7 0
Sorry for the late answer.

Basically, just work your way backwards. Equation form of the question:

x * 2/3 * 1/8 = $40

where x is the amount earned before taxes. Therefore, after rearranging some stuff, we get:

x = $40 * 8 * 1.5
and thus
x = $320 * 1.5
x = $480
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Step-by-step explanation:

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Five males with an​ X-linked genetic disorder have one child each. The random variable x is the number of children among the fiv
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Answer and Explanation:

Given : Five males with an​ X-linked genetic disorder have one child each. The random variable x is the number of children among the five who inherit the​ X-linked genetic disorder.

To find :

a. Does the table show a probability distribution?

b. Find the mean and standard deviation of the random variable x.

Solution :

a) To determine that table shows a probability distribution we add up all six probabilities if the sum is 1 then it is a valid distribution.

\sum P(X)=0.029+0.147+0.324+0.324+0.147+0.029

\sum P(X)=1

Yes it is a probability distribution.

b) First we create the table as per requirements,

x      P(x)         xP(x)           x²            x²P(x)

0    0.029         0              0                0

1     0.147        0.147           1              0.147

2    0.324       0.648         4              1.296

3    0.324       0.972         9              2.916

4    0.147        0.588        16              2.352

5    0.029       0.145         25            0.725

   ∑P(x)=1      ∑xP(x)=2.5               ∑x²P(x)=7.436

The mean of the random variable is

\mu=\sum xP(x)=2.5

The standard deviation of the random sample is

Variance=\sigma^2

\sigma^2=\sum x^2P(x)-\mu^2

\sigma^2=7.436-(2.5)^2

\sigma^2=7.436-6.25

\sigma^2=1.186

\sigma=\sqrt{1.186}

\sigma=1.08

Therefore, The mean is 2.5 and the standard deviation is 1.08.

5 0
3 years ago
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