13. Let X be the number of heads in two tosses of a coin. (a) Find the probability distribution function of X. .T (b) Find the expected value of X. E(x) = Ex P(x) 0,1,2

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Chapter1: Starting With Matlab
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13. Let X be the number of heads in two tosses of a coin.
(a) Find the probability distribution function of X. 4,I.7
(b) Find the expected value of X.
E(x) = Ex P(x)
0,1,2
14. The probability distribution of the discrete random variable X is
3-x
P(X = x) = )) G)
,x = 0,1,2,3
Find the mean and variance of X.
15. The probability that 0, 1, 2, 3 or 4 people will be placed on hold when they call a radio
talk show is shown in the distribution
1
3.
4
P(X=x)
0.18
0.34
0.23
0.21
0.04
Find the variance and standard deviation for the data.
Transcribed Image Text:13. Let X be the number of heads in two tosses of a coin. (a) Find the probability distribution function of X. 4,I.7 (b) Find the expected value of X. E(x) = Ex P(x) 0,1,2 14. The probability distribution of the discrete random variable X is 3-x P(X = x) = )) G) ,x = 0,1,2,3 Find the mean and variance of X. 15. The probability that 0, 1, 2, 3 or 4 people will be placed on hold when they call a radio talk show is shown in the distribution 1 3. 4 P(X=x) 0.18 0.34 0.23 0.21 0.04 Find the variance and standard deviation for the data.
to to
9. For the following probability distribution in Exercise 4(b), find each of the following
probabilities:
(a) P(X 2 2)
(b) P(X < 4) s
(c) P(1 < X < 4) 16
fo at
(d) P(2 < X < 4)
10. A box has seven items, four good and three defective. Three items are selected at random
without replacement. Let X be the number of good items.
(a) Find the probability distribution function of X
(b) Find the cumulative distribution function of X.
(c) Suppose that we have loss of RM 20 for each defective item selected. Let the random
variable Y denote the loss. Find the probability distribution function of Y.
11. Let X denotes the number of busy server at the checkout counters in a hotel at 1 p.m. The
probability distribution function of X is
3.
4
p(x)
0.2
0.3
0.3
0.1
0.1
(a) Find the cumulative distribution function of X.
0.1 0. S, 0.8,0.9.1.0
(b) Find the probability that three or more servers are busy
P(X 3)
0.1 +0.1
- 0.2
12. Let Z denotes a random variable with probability distribution function.
-2
-1
0.
1
2.
3.
P(Z=z)
0.1
0.3
k
0.09
0.05
0.25
0.21
(a) What is k?. Đ.09
(b) Find the cumulative distribution function of 7 0.1, 0.4, 0.49, 0. S4, 0.79,!
(c) Find P(-1< X S 2), P(Z > 0), P(Z < 2)and P(-2 <Z < 2)
= 0.79
= 0.69
E 0.51
:0,79
Transcribed Image Text:to to 9. For the following probability distribution in Exercise 4(b), find each of the following probabilities: (a) P(X 2 2) (b) P(X < 4) s (c) P(1 < X < 4) 16 fo at (d) P(2 < X < 4) 10. A box has seven items, four good and three defective. Three items are selected at random without replacement. Let X be the number of good items. (a) Find the probability distribution function of X (b) Find the cumulative distribution function of X. (c) Suppose that we have loss of RM 20 for each defective item selected. Let the random variable Y denote the loss. Find the probability distribution function of Y. 11. Let X denotes the number of busy server at the checkout counters in a hotel at 1 p.m. The probability distribution function of X is 3. 4 p(x) 0.2 0.3 0.3 0.1 0.1 (a) Find the cumulative distribution function of X. 0.1 0. S, 0.8,0.9.1.0 (b) Find the probability that three or more servers are busy P(X 3) 0.1 +0.1 - 0.2 12. Let Z denotes a random variable with probability distribution function. -2 -1 0. 1 2. 3. P(Z=z) 0.1 0.3 k 0.09 0.05 0.25 0.21 (a) What is k?. Đ.09 (b) Find the cumulative distribution function of 7 0.1, 0.4, 0.49, 0. S4, 0.79,! (c) Find P(-1< X S 2), P(Z > 0), P(Z < 2)and P(-2 <Z < 2) = 0.79 = 0.69 E 0.51 :0,79
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