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  1. Indicate the function that can be cdf of some random variable.

  • None of these

  1. Indicate the function that can be pdf of some random variable.

  1. Continuous random variable X has the following CDF:

. What is the PDF of X in the interval 1<X≤2?

  • 1/2

  • 0

  • 1

  • X2/4

  • x

  1. Continuous random variable X is given in the interval [0, 100]. What is the probability P(X=50)?

  • 0

  • 1

  • 0.5

  • 0.75

  • 0.25

  1. CDF of discrete random variable X is given by

What is the probability P{1.3<X≤2.3}?

  • 0.8

  • 0.2

  • 0

  • 0.6

  • 0.4

  1. PMF of discrete random variable is given by

Х

0

2

4

Р

0,1

0,5

0,4

Find the value of CDF of X in the interval (2, 4].

  • 0.4

  • 0.5

  • 0.2

  • 0.6

  • 1

  1. PMF of discrete random variable is given by

Х

0

2

4

Р

0,3

0,1

0,6

Find F(2).

  • 0.4

  • 0.6

  • 0.3

  • 0.7

  • 0.1

  1. PMF of discrete random variable X is given by

Х

-1

5

Р

0,4

0,6

Find standard deviation of X.

  • 15.4

  • 8.64

  • 2.6

  • 2.9393

  • 3.3333

  1. PMF of discrete random variable X is given by

Х

-1

5

Р

0,4

0,6

Find variance of X.

  • 15.4

  • 8.64

  • 2.6

  • 2.93

  • 3.33

  1. PMF of discrete random variable X is given by

Х

0

5

Р

0,6

0,1

0,3

If E[X]=3.5 then find the value of x3.

  • 10

  • 6

  • 8

  • 12

  • 24

  1. Probability of success in each of 100 independent trials is constant and equals to 0.8. What is the probability that the number of successes is between 60 and 88?

  1. A man is made 10 shots on the target. Assume that the probability of hitting the target in one shot is 0,7. What is the most probable number of hits?

  • 8

  • 7

  • 6

  • 5

  • 9

  1. Consider two boxes, one containing 4 white and 6 black balls and the other - 8 white and 2 black balls. A box is selected at random, and a ball is drawn at random from the selected box. If the ball occurs to be white, what is the probability that the first box was selected?

  • 0.4

  • 0.6

  • 0.8

  • 1/3

  • 2/3

  1. Each of two boxes contains 6 white and 4 black balls. A ball is drawn from 1st box and it is replaced to the 2nd box. Then a ball is drawn from the 2nd box. What is the probability that this ball occurs to be white?

  • 0.3

  • 0.4

  • 0.5

  • 0.6

  • 0.8

  1. Consider two boxes, one containing 3 white and 7 black balls and the other – 1 white and 9 black balls. A box is selected at random, and a ball is drawn at random from the selected box. What is the probability that the ball selected is black?

  • 0.8

  • 0.2

  • 0.4

  • 1.6

  • 0.9

  1. Urn I contains 4 black and 6 white balls, whereas urn II contains 3 white and 7 black balls. An urn is selected at random and a ball is drawn at random from the selected urn. What is the probability that the ball is white?

  • 0.45

  • 0.15

  • 0.4

  • 0.9

  • 1

  1. A coin is tossed twice. Event A={ at least one Head appears}, event B={at least one Tail appears}. Find the conditional probability P(B|A).

  • 2/3

  • 1/3

  • 1/2

  • 3/4

  • 0

  1. A coin is tossed twice. Event A={ Head appears in the first tossing}, event B={at least one Tail appears}. Find the conditional probability P(B|A).

  • 1/4

  • 1/2

  • 1/3

  • 2/3

  • 3/4

  1. Probability that each shot hits a target is 0.9. Total number of shots produced to the target is 5. What is the probability that at least one shot hits the target?

  • 1-0,95

  • 0,95

  • 1-50,9

  • 1-0,15

  • 0,15

  • 1-50,1

  1. An urn contains 1 white and 9 black balls. Three balls are drawn from the urn without replacement. What is the probability that at least one of the balls is white?

  • 0.7

  • 0.3

  • 0.4

  • 0.2

  • 0.6

  1. Four independent shots are made to the target. Probability of missing in the first shot is 0.5; in the second shot – 0.3; in the 3rd – 0.2; in the 4th – 0.1. What is the probability that the target is not hit.

  • 1.1

  • 0.03

  • 0.275

  • 0.003

  • 1.01

  1. Probability of successful result in the certain experiment is 3/4. Find the most probable number of successful trials, if their total number is 10.

  • 6

  • 7

  • 8

  • 5

  • 10

  1. Let E and F be two mutually exclusive events and P(E)=P(F)=1/3. The probability that none of them will occur is:

  • No correct answer

  1. Let Eand Fbe two events. If ,,and, then the conditional probability of Egiven F is:

  • No correct answer

  1. Given that Z is a standard normal random variable. What is the value of Z if the area to the left of Z is 0.9382?

  • 1.8

  • 1.54

  • 2.1

  • 1.77

  • 3

  1. At a university, 14% of students take math and computer classes, and 67% take math class. What is the probability that a student takes computer class given that the student takes math class?

  • 0.81

  • 0.21

  • 0.53

  • No correct answer

  • 0.96

  1. Let ,,, be the joint p.d.f. of X and Y. Find the marginal PDF of X.

  • x

  • x+1/2

  • y+1/2

  • x2+1

  • x2+y2

  1. If two random variables X and Y have the joint density function, , find the probability P(X+Y<1).

  • 1/24

  • 1/12

  • 5/12

  • 1/4

  • 0.003

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