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monitta
4 years ago
10

Suppose the following set of random numbers is being used to simulate the event of a basketball player making three free throws

in a row. How should the numbers be rearranged?
860583 785814 010122 337198 621549 034076 796495 978078 433330 333153

A. 860583 785814 010122 337198 621549 034076 796495 978078 433330 333153
B. 860 583 785 814 010 122 337 198 621 549 034 076 796 495 978 078 433 330 333 153
C. 86058 37858 14010 12233 71986 21549 03407 67964 95978 07843 33303 33153
D. 8605 8378 5814 0101 2233 7198 6215 4903 4076 7964 9597 8078 4333 3033 3153
Mathematics
2 answers:
Nuetrik [128]4 years ago
7 0
Apex answer is C hopefully this helps!
Artyom0805 [142]4 years ago
4 0
A\ basketball\ player\ making\ three\ free\ throws\ in\ a\ row\\then\ set\ of\ three\ numbers:\\\\ 860\ 583\ 785\ 814\ 010\ 122\ 337\ 198\ 621\ 549 \\034\ 076\ 796\ 495\ 978\ 078\ 433\ 330\ 333\ 153\\\\Ans.\ B
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Answer:

139

Step-by-step explanation:

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Dwight can run four times faster than Jim. If Jim runs a mile in 3 minutes, which equation would allow you to solve for Dwight's
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For the following discrete random variable X with probability distribution:
Black_prince [1.1K]

Answer:

(a) The probability distribution is shown in the attachment.

(b) The value of E (<em>Y</em>) is 7.85.

(c) The value of E (X) and E (X²) are 1.45 and 3.25 respectively.

(d) The value of P (Y ≤ 2) is 0.60.

(e) Verified that the value of E (Y) is 7.85.

Step-by-step explanation:

(a)

The random variable <em>Y</em> is defined as: Y=3X^{2}-2X+1

For <em>X</em> = {0, 1, 2, 3} the value of <em>Y</em> are:

X=0;\ Y=3\times(0)^{2}-2\times(0)+1 =1

X=1;\ Y=3\times(1)^{2}-2\times(1)+1 =2

X=2;\ Y=3\times(2)^{2}-2\times(2)+1 =9

X=3;\ Y=3\times(3)^{2}-2\times(3)+1 =22

The probability of <em>Y</em> for different values are as follows:

P (Y = 1) = P (X = 0) = 0.20

P (Y = 2) = P (X = 1) = 0.40

P (Y = 9) = P (X = 2) = 0.15

P (Y = 22) = P (X = 3) = 0.25

The probability distribution of <em>Y</em> is shown below.

(b)

The expected value of a random variable using the probability distribution table is:

E(U)=\sum[u\times P(U=u)]

Compute the expected value of <em>Y</em> as follows:

E(Y)=\sum [y\times P(Y=y)]\\=(1\times0.20)+(2\times0.40)+(9\times0.15)+(22\times0.25)\\=7.85

Thus, the value of E (<em>Y</em>) is 7.85.

(c)

Compute the expected value of <em>X</em> as follows:

E(X)=\sum [x\times P(X=x)]\\=(0\times0.20)+(1\times0.40)+(2\times0.15)+(3\times0.25)\\=1.45

Compute the expected value of <em>X</em>² as follows:

E(X^{2})=\sum [x^{2}\times P(X=x)]\\=(0^{2}\times0.20)+(1^{2}\times0.40)+(2^{2}\times0.15)+(3^{2}\times0.25)\\=3.25

Thus, the value of E (X) and E (X²) are 1.45 and 3.25 respectively.

(d)

Compute the value of P (Y ≤ 2) as follows:

P (Y\leq 2)=P(Y=1)+P(Y=2)=0.20+0.40=0.60

Thus, the value of P (Y ≤ 2) is 0.60.

(e)

The value of E (Y) is 7.85.

E(Y)=E(3X^{2}-2X+1)=3E(X^{2})-2E(X)+1

Use the values of E (X) and E (X²) computed in part (c) to compute the value of E (Y).

E(Y)=3E(X^{2})-2E(X)+1\\=(3\times 3.25)-(2\times1.45)+1\\=7.85

Hence verified.

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