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dimulka [17.4K]
2 years ago
3

If x is normally distributed random variable with a mean of 8.20 and variance of 4.41, and that p(x >

Mathematics
1 answer:
Contact [7]2 years ago
8 0
Given that mean is 8.20 and variance is 4.41, the value of b will be calculated as follows:
P(x>b)=0.08
⇒P(x<b)=1-0.08=0.92
the z-score corresponding to this probability is:
z=1.41
but the formula for z-score is given by:
z=(x-μ)/σ
where:
μ=mean
σ=standard deviation
thus plugging in the values we obtain:
1.41=(x-8.2)/√4.41
1.41=(x-8.2)/2.1
solving for x
1.41×2.1=x-8.2
x=2.961+8.2
x=11.161

Hence the answer is x=11.161

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A small-business Web site contains 100 pages and 60%, 30%, and 10% of the pages contain low, moderate, and high graphic content,
nasty-shy [4]

Answer:

Step-by-step explanation:

Given that:

A small-business Web site contains 100 pages and 60%, 30%, and 10%  of the pages contain low, moderate, and high graphic content, respectively.

. A sample of four pages is selected without replacement,

Let  X and Y denote the number of pages with moderate and high graphics output in the sample

We are meant to determine

a)  f_{XY}(x, y)  from the given data in the question;

However; the probability mass function can be expressed via the relation:

f_{XY}(x,y)  = \dfrac{(^{30}  _x ) ( ^{10} _y  ) (^{60} _ {4-x-y}  )    }{  ( ^{100}_4)}

We can now have a table shown as :

X|Y                0           1               2              3              4          Total    f_X(x)

0              0.1244     0.0873     0.02031    0.0018     0.0001   0.234

1               0.2618     0.13542   0.02066    0.00092    0         0.419

2              0.1964     0.0666    0.00499       0              0         0.268

3              0.0621     0.01035     0                 0              0         0.073

4              0.0069       0              0                0              0          0.007

Total F_Y(y)   0.6516   0.2996   0.0460      0.0028  0.0001    1

b) f_X(x)

The marginal distribution definition of f_X(x)= P(X=x)

f_X(x) = \sum P(X=x, Y=y)

From the table above ; the corresponding values of f_X(x)  are :

X           0           1         2          3           4

f_X(x)    0.234   0.419  0.268   0.073    0.007

( since f_X(x) represent the vertical column)

c) E(X)

By using the expression E(x) = \sum ^4 _{x= 0} x f_X(x)

we have:

E(X) = 0*0.234+1*0.419+ 2*0.268+3*0.073+4*0.007

E(X) = 0 + 0.419 + 0.536 + 0.218 + 0.028

E(X) = 1.202

d) fyß(y)

Using the thesis of conditional Probability; we have :

P(A|B) = \dfrac{ P(A,B) }{ P(B) }

The conditional probability for the mass function is then:

f_{Y|X=3}(y) = \dfrac{f_{XY}(3,y)}{f_{X}(x)}

where;

f_X(3) = 0.0725

values of f_{XY} (3,y) for every y ∈ (0,1,2,3,4)

Therefore; the mass function is:

Y|{_X_3}:\left[\begin{array}{ccccc}0&1&2&3&4\\0.857&0.143&0&0&0\\ \end{array}\right]

e) E(Y | X = 3)

By using the expression E(Y|X=3) = \sum ^4 _{y= 0} y f_{y \beta} \    (y|x)

we have:

⇒ 0 * 0.857 + 1*0.143 +0 +0+0

= 0.143

The value of E(Y | X = 3) = 0.143

g) Are X and Y independent?

To Check if X and Y independent; Let assume if f_{XY}(x,y) = f_X(x)f_{Y}(y) ; then we can say that X and Y are independent.

From the above previous table :

f_{(XY)} (0.4) = 0.0001

f_X (0) = 0.1244 + 0.087268+0.02031+ 0.001836 + 0.0001

f_X (0)  = 0.234

f_X (4)=0.0001 +0+0 \\ \\ = 0.001

f_{X}(0) f_Y(4) = 0.234*0.0001

f_{X}(0) f_Y(4) = 0.00002

We conclude that f_{(XY)} (0.4) \neq  f_X(0) f_Y(y); As such X and Y are said to be  non - independent.

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2 years ago
Debra has two scarves. One is square and each side is 32 inches long. The other is rectangular and is 48 inches long and 20 inch
nika2105 [10]

Answer:

the statement that says each side s 32 inches long has a greater area than 48 inches long and 20 inches wide

Step-by-step explanation:

6 0
2 years ago
Sean drew a shape with 2 fewer sides than an octagon.Which shape did he draw?
Katena32 [7]
He drew a hexagon
hexa = 6
4 0
2 years ago
Read 2 more answers
How do you simplify i²⁹? (If you can't tell, that's the imaginary number i^29).
maria [59]
The imaginary number ' i ' is the square root of -1.

i = √-1
i² = -1
i³ = -√-1
i to the 4th power = +1
i to the 5th power = √-1
etc.

and all the higher powers keep going in the same 4-step cycle.

What's 29 divided by 4 ?
It's 7 with a remainder of 1.

So 29 with all the 4s thrown away is 1, and ' i ' to the 29th power is
the same thing as ' i ' to the 1st power = √-1  or just  plain ' i '.
6 0
2 years ago
Flag this Question
Roman55 [17]

Answer:

A:Stratified Sampling

B:Simple Random Sampling

C:Systematic Sampling

D:Cluster Sampling

E:Sampling of Convenience

Step-by-step explanation:

5 0
2 years ago
Read 2 more answers
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