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1 Problems for Test 2. (2014)

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1 Problems for Test 2. (2014)

1. Compute the derivatives of the following functions!

• √3

x4+x16 + cos (3x) + ln (2x)

• sin (√3 x)

• x7cos (2x−1)

sin (2x)x2+1

ln (2xln (x)2+8)

2. Study the local extremal values of the following functions!

x2−2x, x3−x, x2−x4, xln(x), xe−3x. 3. Compute theR

f(x)dx indefinite integrals of the following functions!

5, (1)

x, (2)

x2−2, (3)

x2−y, (4)

3

2x7+p3

(2x)7+ 7

x7, (5)

ex+ sin(x), (6)

e3x+ sin(3x), (7)

3

1 + 9x2. (8)

4. Solve the following differential equations!

y0 = 1, y(2) = 3, (9)

y0=x+ 1, y(2) = 3, (10)

y0 = sinx, y(2) = 3, (11)

y0 = 1/x, y(2) = 3, (12)

y0= 1/(x+ 1), y(2) = 3, (13)

(14) 5. Solve the following differential equations!

y0=y, y(2) = 3, (15)

y0 =−2y, y(2) = 3, (16)

y0 = 0, y(2) = 3, (17)

y0 =y+ 5, y(2) = 3, (18)

y0 = 2y+ 5, y(2) = 3, (19)

(20) 6. Plot the solutions of the following differential equations! Find their equilibrium positions and determine their stability!

y0 = 0, (21)

y0=y, (22)

y0 =−2y, (23)

y0=−2y+ 3, (24)

y0=y2−1, (25)

y0=−y2+ 1, (26)

y0=y2−y, (27)

y0=y3−y, (28)

y0 =y3−y2. (29)

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7. Compute the following definite integrals!

Z 2

1

x+ 1dx, (30)

Z 4

3

x2−exdx, (31)

Z 6

5

1/(x+ 5)dx, (32)

Z 8

7

1/(2x+ 5)dx, (33)

Z π

0

sinx dx, (34)

Z π

0

cos(2x)dx, (35)

(36) 8. 3 cards are drawn from a standard deck of 52 cards. How many different 3-card hands can possibly be drawn?

http://www.statlect.com/combinations_exercise_set_1.htm(ex.1.1)

9. What is the chance of winning the lottery grand prize (i.e. correctly guessing 5 numbers out of 90) ?

10. There are 10 black and 5 white balls in a box. Suppose that we DO NOT put back the balls after the drawings. What is the chance of drawing firstly 3 white and then 2 black balls? What is the chance of drawing 3 white and then 2 black balls if the order is irrelevant?

11. There are 10 black and 5 white balls in a box. Suppose that we DO put back the balls after the drawings. What is the chance of drawing firstly 3 white and then 2 black balls? What is the chance of drawing 3 white and then 2 black balls if the order is irrelevant?

12. Consider a sample space Ω comprising four possible outcomes Ω ={ω1, ω2, ω3, ω4}. Suppose that to the four possible outcomes the following probabilities are assigned:

P(ω1) = 1/10, P(ω2) = 2/10, P(ω3) = 3/10, P(ω4) = 4/10.

Define two events: E={ω1, ω2},E ={ω2, ω3} ComputeP(E|F), the conditional probability of E given F. Compute P(F|E), too.

http://www.statlect.com/conditional_probability_exercise_set_1.htm(ex.1.2)

13. Suppose that we toss a dice. Six numbers (from 1 to 6) can appear face up, but we do not yet know which one of them will appear. The sample space is: Ω = {1,2,3,4,5,6}. Define the events E and F as follows: E = {1,3,4}, F ={3,4,5,6}. Prove that Eand F are independent.

http://www.statlect.com/independent_events_exercise_set_1.htm(ex.1.1)

14. A firm undertakes two projects, A and B. The probabilities of having a successful outcome are 34 for project A and

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2 for project B. The probability that both projects will have a successful outcome is 167. Are the two outcomes independent?

http://www.statlect.com/independent_events_exercise_set_1.htm(ex.1.2)

15. A class consists of 100 students, 60% of them are girls, 40% have brown hair. If ”brown” is independent of ”girl”, how many brown haired girls are in the class?

16. There are two urns containing colored balls. The first urn contains 50 red balls and 50 blue balls. The second urn contains 30 red balls and 70 blue balls. One of the two urns is randomly chosen (both urns have probability 50%

of being chosen) and then a ball is drawn at random from one of the two urns. If a red ball is drawn, what is the probability that it comes from the first urn?

http://www.statlect.com/bayes_rule_exercise_set_1.htm(ex.1.1)

17. An HIV test gives a positive result with probability 98% when the patient is indeed affected by HIV, while it gives a negative result with 99% probability when the patient is not affected by HIV. If a patient is drawn at random from a population in which 0,1% of individuals are affected by HIV and he is found positive, what is the probability that he is indeed affected by HIV?

http://www.statlect.com/bayes_rule.htm(example) 18. Roll a dice. What is the expected value of the outcome?

19. Roll a dice. What is the variance of the outcome?

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20. Toss a coin two times and let X1 (X2) be the number of heads for the first (second) trial. Compute the probability mass functions ofX1, X2,andX1+X2 ! Check that the random variablesX1andX2are independent! Compute their variances and compareV ar[X1] +V ar[X2] to V ar[X1+X2] !

21. Let us suppose that 50% of the voters vote for the Huge Party, 10% vote for the Small Party and the rest is undecided.

Compute the expected value and the variance of the number of votes by a single voter in the cases of the Huge and Small Parties. Do the same in the case when a polling firm asks 1000 randomly chosen voters.

What will be the typical error of measurement of the popularity of these parties?

2 Sample Test 2.

2.1 A

1. • √3

x4+x16 + cos (3x) + ln (2x)

• sin (√3 x)

• x7cos (2x−1)

2. Find the local extremal values of the following function!

x2−2x.

3. Compute theR

f(x)dx indefinite integrals of the following functions!

3

2x7+p3

(2x)7+ 7

x7, xsin(3x).

4. Solve the following differential equations!

y0=x, y(2) = 3, y0=e2x, y(2) = 3,

5. Solve the following differential equation!

y0 = 4−2y, y(2) = 3.

6. Compute the following definite integral!

Z π

0

cos(2x)dx. (37)

7. Plot the solutions of the following differential equation! Find its equilibrium positions and determine their stability!

y0=y3−y.

8. There are 10 black and 5 white balls in a box. Suppose that we DO put back the balls after the drawings. What is the chance of drawing firstly 3 white and then 2 black balls? What is the chance of drawing 3 white and then 2 black balls if the order is irrelevant?

9. Let us suppose that 50% of the voters vote for the Huge Party, 10% vote for the Small Party and the rest is undecided.

Compute the expected value and the variance of the number of votes by a single voter in the cases of the Huge and Small Parties. Do the same in the case when a polling firm asks 1000 randomly chosen voters.

What will be the typical error of measurement of the popularity of these parties?

2.2 B

1. • sin (√3 x)

• x7cos (2x−1)

ln (2x32+8)

2. Find the local extremal values of the following function!

xe−3x.

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3. Compute theR

f(x)dx indefinite integrals of the following functions!

3

2x7+p3

(2x)7+ 7

x7, xcos(3x).

4. Solve the following differential equations!

y0 = 1, y(2) = 3, x2−x, y(2) = 3,

5. Solve the following differential equation!

y0= 6y+ 12, y(2) = 3.

6. Compute the following definite integral!

Z π

−π

x3−x dx.

7. Plot the solutions of the following differential equation! Find its equilibrium positions and determine their stability!

y0=y2−y.

8. Suppose that we toss a dice. Six numbers (from 1 to 6) can appear face up, but we do not yet know which one of them will appear. The sample space is: Ω = {1,2,3,4,5,6}. Define the events E and F as follows: E = {1,3,4}, F ={3,4,5,6}. Prove that Eand F are independent.

9. There are two urns containing colored balls. The first urn contains 50 red balls and 50 blue balls. The second urn contains 30 red balls and 70 blue balls. One of the two urns is randomly chosen (both urns have probability 50%

of being chosen) and then a ball is drawn at random from one of the two urns. If a red ball is drawn, what is the probability that it comes from the first urn?

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