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Course: MA 366, Spring 2011
School: Purdue
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366 MA Spring 2011 Assignments For Wednesday 1/12: Read 1.21.3. Do: p. 25: 7, 9, 16 p. 360, The answer to Exercise 8 is given in the back of the text. Substitute the given functions x1 and x2 into the the system to show that they do solve the system. Show that they also satisfy the desired initial conditions stated in the exercise. For Friday 1/14: Read p. 31-39 Do:Exercises : p. 25: 13, 14 p. 360, The answer to...

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366 MA Spring 2011 Assignments For Wednesday 1/12: Read 1.21.3. Do: p. 25: 7, 9, 16 p. 360, The answer to Exercise 8 is given in the back of the text. Substitute the given functions x1 and x2 into the the system to show that they do solve the system. Show that they also satisfy the desired initial conditions stated in the exercise. For Friday 1/14: Read p. 31-39 Do:Exercises : p. 25: 13, 14 p. 360, The answer to Exercise 10 is given in the back of the text. Substitute the given functions x1 and x2 into the the system to show that they do solve the system. Show that they also satisfy the desired initial conditions stated in the exercise. Exercises p. 39: 1(use deld), 4(use deld), 13,15, 16 Note: Note: In the deld problems to determine the behavior as t goes to innity you need to also draw several of the solutions as the text did in gure 2.1.4 on p. 38 and describe what you see. In part (c) you are asked to prove that your observation is correct. For Wednesday 1/19: Read p. 21, rst paragraph, p. 42-47 p. 39: 14,19, 24 (use deld) p. 24: The dierential equation in exercise 4 is not linear. Change one single number to make the equation linear. Do not just change one of the coecients to zero! p. 47, 1, 7, 10 (use deld), 23. (Hint: Set y = 0 and solve for x. You dont need to compute y to do this! How can you tell that it is a minimum and not a maximum or a point of inection?) 1 For Friday 1/21: In all of these problems, do not do the computer part! Read Example 1, p. 52. Then do Exercise 4, p. 60. Only nd the concentration prior to the point of overow. Do not do the parts described in the nal two sentences of the problem. p. 48, 22 (This is similar to 23, but now you want y = .),24 (Prove that your value really is a maximum.), 30 (a)-(e) p. 62, 16. For Wednesday 1/26 In all of these problems, do not do the computer part! p. 50, 31(a), (b) p.202, 1 (See the discussion relating to Equation (12) pn p. 195. You will need the technique used in this problem for 5(c) below.) p. 60, 5, 20 Note in some versions of the text the rate in and rate out are given as 3 gal/min. Please use 2 gal/min instead. For Friday , 1/28 p. 100 1, 2, 3, 21 In all of these problems, do not do the computer part! p. 50, 32(a), (b) p. 60, 21(a), (b) dv dy in terms of v and . p. 77, 27(b)Hint You need to express dx dx 1. At time t = 0, a tank of water contains 500gal of water with 50g of salt dissolved in it. Water ows into the tank at 30gal/hr and the well stirred mixture ows out at the same rate. Assume that the concentration of the salt coming in at time t is is 10et lb/gal. Write a dierential equation and initial value condition which could be solved to nd a formula for the amount Q(t) of salt in the tank. You need not solve the equation. 2. Let the data be exactly the same as in the preceding problem except now water ows out of the tank at 40gal/hr. Write a dierential equation and initial value condition which could be solved to nd a formula for the amount Q(t) of salt in the tank at any time prior to the time 2 the tank become empty. You need not solve the equation. For Wednesday 2/2 p. 77: 28 p. 100: 7, 11, 15, 22 1. An object of mass 1 kg. is thrown upward with an initial velocity of 20 m/s from a building 30 m high. There is a force of resistance of 9.8v 2 where the velocity v is measured in m/s. (1) Find a formula for the velocity v (t) for the object when it is rising. Then (2) Find the time to at which it reaches its maximum height. Finally, (3) Find a formula for v (t) for t > to which is valid until the object hits the ground. You may leave this answer in implicit form. Ans: Going up: v (t) = tan(1.52 9.8t), to = 0.155, Going down: 1+v = e19.6(t0.155) . 1v Remark. The numbers in this problem are not meant to be realistic. They are chosen to make the calculations easier. 2. The statement of the extra Exercises 1 and 2 from the assignment for Friday , 1/28, have been corrected. (concentration was changed to amount.) Redo these exercises with the corrected statement. 3. For the following dierential equation (a) nd the general solution (b) nd a value of yo for which the initial value problem y (0) = yo has two solutions. (c) Explain, using the Existence and Uniqueness Theorem (Theorem 2.8.1 on p.112), why there is only one possible choice of yo in (b) (d) Solve the initial value problem y (0) = 1. There is only one solution! Hint Completing the square helps in solving for y in terms of x. (3 + 2y )y = 3x2 1 4. For the following dierential equation (a) nd the general solution (b) Find a value of to for which the initial value problem y (to ) = 1 has no solution. (c) Explain, using the Existence and Uniqueness Theorem (Theorem 2.8.1 on p.112), why there is only one possible choice of to in (b) ty + 2y = t2 et 3 5. For the following dierential equation (a) nd the general solution (b) Find a value of yo for which the initial value problem y (3) = yo has more than one solution. (c) Explain, using the Existence and Uniqueness Theorem (Theorem 2.8.1 on p.112), why there is only one possible choice of yo in (b) y = (2y 3)3/5 (x 4)2 For Wednesday, 2/16 Read 2.5, p. 78-81, 3.1, p. 137-143, 3.3, p.157-163 Do: p.89, 8, 10 p. 144, 5,6,7, 9, 12 (Do not graph), p. 163, 1, 3, 7, 18 For Friday, 2/18/09 In all of these problems, do not do the computer part and do not graph p. 163, 11, 19, 34(a), (b) p. 144, 17,21, p. 171, 2, 6 1. Consider the dierential equation y (4) + 4y + 3y 4y 4y = 0. Let L(y ) be the corresponding linear operator on functions. (a) Show that L(ert ) = (r2 1)(r + 2)2 ert . (b) Use the fact that L to show that L tert = 2r(r + 2)2 + 2(r2 1)(r + 2) + t(r2 1)(r + 2)2 ert . (c) Use the above formula to show that L (te2t ) = 0. 4 y r = L(y ) r (1) (d) Verify by direct substitution into equation (1) that L (te2t ) = 0. For Wednesday, 2/23/09 In all of these problems, do not do the computer part and do not graph Read 3.5, p. 174-183, 3.1: p. 144, 23 3.3: p. 165, 36 3.4 p. 171, 12 3.5 p. 183, 1, 2,3,5 For Friday, 2/25 In all of these problems, do not do the computer part and do not graph Read The section on variation of parameters. (3.6) 3.5: p. 183, 8, 29 3.6: p. 189, 5, 17 Note: In 17 you must divide the dierential equation by x2 before applying the technique. In the problems on p. 189 DO NOT use the texts formulas (26) and (27). Instead, explicitly write the equations u1 y 1 + u2 y 2 = 0 u1 y1 + u2 y2 = g (t) as I did in class where y1 and y2 and g are EXPLICIT functions. (The yi are the fundamental set of solutions and the g is the function on the right side of the dierential equation.) Then express this system in terms of matrices and use Cramers rule to nd u1 and u2 . Finally, integrate to nd u1 , u2 , and the general solution to the equation, which is y = u1 y1 + u2 y2 . 5 For Wednesday, 3/2 In all of these problems, do not do the computer part and do not graph 3.1 p. 144, 24 3.3 p. 165, 39 3.5 p. 183, 30 3.7 p. 202, 5 Note: The information in the rst sentence of the statement of the problem is needed to nd the spring constant k . See Example 1, p. 194. p. 202, 9: Do only the part up to Plot u versus t. (You may use a 22 + (5/ 6)2 e10t and computer.) Also plot on the same graph y = y= 22 + (5/ 6)2 e10t . 3.6 p. 189, 10 DO NOT use the texts formulas (26) and (27). Instead, explicitly write the equations u1 y1 + u2 y2 = 0 u1 y1 + u2 y2 = g (t) as I did in class where y1 and y2 and g are EXPLICIT functions. (The yi are the fundamental set of solutions and the g is the function on the right side of the dierential equation.) Then express this system in terms of matrices and use Cramers rule to nd u1 and u2 . Finally, integrate to nd u1 , u2 , and the general solution to the equation, which is y = u1 y 1 + u2 y 2 . For Friday, 3/4 3.6: p. 189, 11 (DO NOT use the texts formulas (26) and (27).) 3.7: p. 202 6, 10: Do only the part up to Plot u versus t. (You may use a computer.) 13 Additional problem: 1. In Exercise 5 on p. 202, for which coecients of damping would the motion be over damped? Critically damped? Under damped? 6 p. 215, 1 (See Fridays class notes), 5, 6, 7(a), 8(a), (b) (The steady state solution is the part that is not multiplied by eat for some a > 0. The transient part is the part that is multiplied by eat .),9, 15, 17 For Wednesday, 3/30 p. 259: 2 (a),(b) (See Example 2, p. 255) The solution y1 is found by setting a0 = 1 and a1 = 0 in the recursion relation. The solution y2 is found by setting a0 = 0 and a1 = 1 in the recursion relation. For Friday, 4/1 p. 259: 7(a), (b), 17(a), (b) 1. Repeat the instructions for 7(a), (b) on p. 259 for the equation x2 y + (x3 2)y = 0. For Wednesday, 4/6 p. 259: Re-do Exercise 7(a), (b) with xo = 1, p. 259: 6 (a), (b) 10(a), (b) 1. Find a formula for the Wronskian W (x) for the solutions y1 and y2 in Exercise 6, p. 259. Use following the theorem: Theorem 1. Suppose that y1 and y2 satisfy L(y1 ) = L(y2 ) = 0 where L(y ) = y + py + qy. Then the Wronskian W of y1 and y1 satises W + pW = 0. 2. Determine the largest r such that f (x) has a series expansion f ( x) = 0 an xn which is valid for all x, |x| < r for the following functions f (x). (See Examples 1, 2 on p. 263-264.) You are not asked to nd the expansion. 7 . Ans: r = 2 3. x3 (b) f (x) = x2 +4x+8 . Ans: r = 2 2. (a) f (x) = x3 x2 x+12 p. 265: 9, Problem 6. Use the following theorem which follows from Theorem 5.3.1 on p. 262 of the text: Theorem 2. Suppose that y satises y + p(x)y + q (x)y = 0 where p(x) has a power series expansion that converges for |x| < r1 and and q (x) has a power series expansion that converges for |x| < r2 . Then y (x) has a power series expansion which converges at least for all |x| < min{r1 , r2 }. For Friday, 4/8 p. 265, 7. Note: x3 + 1 = (x + 1)(x2 x + 1). 1. Let L(y ) = y + py + qy where p and q are functions. (a) Suppose that y2 = uy1 where u and y1 are functions. Show that L(uy1 ) = u y1 + (2y1 + py1 )u + uL(y1 ). (I essentially did this Wednesday. Look at the notes from the last part of class.) (b) Suppose that L(y1 ) = 0. Let u be a function and set v = u . Show that L(uy1 ) = 0 if and only if v + (2(ln y1 ) + p)v = 0. (c) Show that the function v from part 1b is given by the formula v = Cy1 2 e p dx . (2) (d) Use the formula just derived to do problem 36 on p. 174 of the text. Specically, y2 = y1 u where u = v and v is computed from formula (2). 8 For Wednesday, 4/13 At the end of Mondays class I started to state the stated the following denition: Denition 1. We say that a dierential equation has regular singularities at x = 0 if it is equivalent to an equation of the form x2 p(x)y + xq (x)y + s(x)y = 0 (3) where p, q , and s are analytic at x = 0(i.e. they have power series expansions in powers of x which converge in an interval containing x = 0.) and where p(0) = 0. In this case the equation x2 p(0)y + xq (0)y + s(0)y = 0 is referred to as the approximating Euler equation. The equation p(0)r(r 1) + q (0)r + s(0) = 0 is the indicial equation and its roots are the exponents at the singularity. Note that if we set P (x) = x2 p(x), Q(x) = xq (x) and R(x) = r(x) then q (x) xQ(x) = lim x0 p(x) x0 P (x) q (0) = p(0) 2 x R(x) r ( x) lim = lim x0 P (x) x0 p(x) r(0) = p(0) lim This leads to the Books denition: Denition 2 (Book). We say that a dierential equation has regular singularities at x = 0 if it is equivalent to an equation of the form P (x)y + Q(x)y + R(x)y = 0 9 (4) where P , Q, and R are analytic at x = 0(i.e. they have power series expansions in powers of x which converge in an interval containing x = 0.) and where the limits xQ(x) po = lim x0 P (x) x 2 R ( x) qo = lim x0 P (x) both exist. In this case the equation x2 y + xpo y + qo y = 0 is referred to as the approximating Euler equation. The equation r(r 1) + po r + qo = 0 is the indicial equation and its roots are the exponents at the singularity. It is a theorem that both denitions are equivalentany equation that has regular singularities under the books denition has regular singularities under my denition and vice versa. The books denition gives a slightly dierent indicial equation than my denition. From the above discussion po = q (0) , p(0) qo = r(0) . p(0) Hence the books indicial equation is r(r 1) + q (0) r(0) r+ =0 p(0) p(0) which is equivalent with mine. I prefer my denition because you dont need limits to tell if an equation has regular singularities: if it has an approximating Euler equation, then it has regular singularities. For example the equation (x5 + 2x3 + x2 )y + (3x2 + 7x)y + (x2 + 3x + 5)y = 0 may be written x2 (x3 + 2x + 1)y + x(3x + 7)y + (x2 + 3x + 5)y = 0. 10 Hence in (3) p(x) = x3 + 2x + 1, q (x) = 3x + 7, and r(x) = x2 + 3x + 5. Since p(x), q (x), and r(x) are polynomials they are analytic at x = 0. Also p(0) = 0. Hence the equation has regular singularities at x = 0. From formula (4) above the approximating Euler equation is x2 y + 7xy + 5y = 0. The equation (x5 + 2x3 + x2 )y + (3x2 + 7)y + (x2 + 3x + 5)y = 0 does not have regular singularities. To see this we rst write the equation as 7 x2 (x3 + 2x + 1)y + x(3x + )y + (x2 + 3x + 5)y = 0. x 7 We cannot let q (x) = 3x + x since this is not dened at x = 0. To avoid this we multiply both sides of our equation by x writing our equation as x2 (x4 + 2x2 + x)y + x(3x2 + 7)y + (x3 + 3x2 + 5x)y = 0. But now p(x) = x4 + 2x2 + x so p(0) = 0, which is not allowed. The Assignment: 1. If we write Problem 8 on p. 282 as in equation (3) above, what are p(x), q (x), and r(x)? What is the approximating Euler equation? 2. Use my denition of regular singularities to do parts (a) and (b) of Problem 8 on p. 282. 3. Use the books denition of regular singularities to do parts (a) and (b) of Problem 8 on p. 282. 4. Do parts (c) and (d) of Problem 8 on p. 282. 5. Use formula (2) from last Fridays assignment to do problem 37 on p. 174 of the text. 11 6. Let L(y ) = y + py + qy where p and q are functions. (a) Suppose that y2 = uy1 where u and y1 are functions. It was shown in last Fridays homework that L(uy1 ) = u y1 + (2y1 + py1 )u + uL(y1 ). Suppose that L(y1 ) = 0. Let u and r be functions and set v = u . Show that L(uy1 ) = r if and only if v + (2(ln y1 ) + p)v = y1 1 r. (b) Show that the function v is given by the formula v = y1 2 e p dx r y1 e p dx dx. (5) (c) Use the formula just derived to do problem 17 on p. 189 of the text. This demonstrates that we can use reduction of order as a replacement for variation of parameters. For Friday, 4/15 I have posted copies of the exercises from the remaining sections of the text that might be covered in the le Some problems from the text. The solutions are contained in the le Solutions to the problems from the text. If your text diers from the one I am using, you should do these problems. I have also (nally) posted solutions to Test 2. 1. Use my denition of regular singularities to do parts (a) and (b) of Problem 5 on p. 282. 2. Use the books denition of regular singularities to do parts (a) and (b) of Problem 5 on p. 282. 3. Do parts (c) and (d) of Problem 2 on p. 282. 12 4. For the dierential equation in Exercise 5 on p. 282, give the approximating Euler equation. Use it to nd the indicial equation and its roots. Use Theorem 5.6.1 on p. 289 to describe the expected form of the solutions y1 and y2 . Do not nd the coecients! This is meant to be a short exercise. 5. Repeat Exercise 4 for Exercise 9 on p. 282. 6. Use formula (2) from Wednesdays assignment to do problem 35 on p. 174 of the text: Find a second solution to ty y + 4t3 y = 0, y1 (t) = sin(t2 ). 7. Use formula (2) from last Fridays assignment to do problem 7 on p. 189 of the text: Find a particular solution to y + 4y + 4y = t2 e2t . p. 359: 1(See Example 1, p. 357), 3, 7(a). By solve for x2 , they mean write x2 = x1 + 2x1 . For Wednesday, 4/10 Read p.390-398. (See Example 5 on p. 381.) p. 398, 2(a), (b), When you plot the trajectories be sure to plot the four trajectories that lie along the eigenvectors as well as a few others. The keyboard input option in pplane is useful for this. p. 398, 11, 12, 15. Do not describe the behavior of the solutions in these problems. 1. For the dierential equation in Exercise 10 on p. 282, give the approximating Euler equation. Use it to nd the indicial equation and its roots. Use Theorem 5.6.1 on p. 289 to describe the expected form of the solutions y1 and y2 . Do not nd the coecients! This is meant to be a short exercise. 13 2. Repeat Problem 1 for Exercise 3 on p. 282. 3. Do Exercise 10(b) and 10(c) on p. 282. For Friday, 4/22 Read, p. 401-402 Assignment: p. 409, 1 1. Given that X1 , X2 and X3 are eigenvectors for the following matrix (a) Find the general solution to X = AX . Hint: To nd the eigenvalue, compute AXi . (b) Find the solution X (t) satisfying 1 X (0) = 4 5 2 6 3 5 A = 2 10 6 12 5 1 X1 = 1 2 1 X2 = 2 2 1 X3 = 3 5 2. Find all eigenvalues and eigenvectors for the matrix in Exercise 7 on p. 428 of the text. Explain why the techniques studied so far are insucient to solve this exercise. 3. Given that for the matrix A in Exercise 5 on p. 428, det(A rI ) = (r + 1)(r 2)2 , nd the eigenvalues and eigenvectors. Explain why the techniques studied so far are insucient to solve this exercise. For Wednesday, 4/27 14 Read the note on Exponential Series posted on the web. Do Exercises 1(b),(c) p. 4 of the notes. (These are nilpotent matrices.), p. 14: 7(c)(See Example 1 on p.8 of the notes.), 10(a) (Only nd a fundamental set of solutions. Do not do the part about X (0).) , 13 (The reference to the answers should be to Exercise 12, not Exercise 11.), 14, 15, 18. 15
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Purdue - MA - 366
The Exponential Series1Section 1X = AX X (0) = [1, 1]t 2 1 4 2 (1)We consider the initial value problemwhere A=Then (as you can check) det(A I ) = 2 so the only eigenvalue is = 0. The equation AXo = 0Xo is equivalent with the system xo + 2yo = 0 4xo
Purdue - MA - 366
MA366 Make-up FinalLast Name:First Name:Show all work. A correct answer without supporting work is worth NO credit! (Some calculators can solve dierential equations.) There should be no hard integrals, unless you mess up somewhere. If this happens, jus
Purdue - MA - 366
MA366 FinalLast Name:First Name:Show all work. A correct answer without supporting work is worth NO credit! (Some calculators can solve dierential equations.) There should be no hard integrals, unless you mess up somewhere. If this happens, just leave
Purdue - MA - 366
Purdue - MA - 366
Purdue - MA - 366
Purdue - MA - 366
Chapter 1Systems1.1 On LineIn this introductory section we will pose no exercises, but instead, will detail how to use Maple to solve problems in linear algebra. For the novice Maple user, this section is essential reading and reference. For the experi
Purdue - MA - 366
%!PS (but not EPSF; comments have been disabled) /TeXDict 200 dict def TeXDict begin /N /def load def /Bcfw_bind defN /S /exch load def /Xcfw_S NB /TR /translate load N /isls false N /vsize 10 N /@rigincfw_ islscfw_[0 1 -1 0 0 0]concatif 72 Resolution div
Purdue - IE230 - 230
IE 230Seat # _ Closed book and notes. 60 minutes. Cover page and four pages of exam. Pages 8 and 12 of the Concise Notes. No calculator. No need to simplify answers.Name _ &lt; KEY &gt; _This test is cumulative, with emphasis on Section 4.8 through Section 5
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IE 230Seat # _Name _ Closed book and notes. 60 minutes. Cover page and four pages of exam. No calculator.This exam covers event probabilities and the denition of random variables. Chapter 2 of Montgomery and Runger, fourth edition. A true/false questio
Purdue - IE230 - 230
IE 230Seat # _ Closed book and notes. 60 minutes. Cover page and four pages of exam. No calculator.Name _ &lt; KEY &gt; _This exam covers event probabilities and the denition of random variables. Chapter 2 of Montgomery and Runger, fourth edition. A true/fal
Purdue - IE230 - 230
IE 230Seat # _ Please read these directions.Name _Closed book and notes. 60 minutes. Covers through the normal distribution, Section 4.7 of Montgomery and Runger, fourth edition. Cover page and four pages of exam. Page 8 of the Concise Notes. No calcul
Purdue - IE230 - 230
IE 230Seat # _ Please read these directions. Closed book and notes. 60 minutes.Name _ &lt; KEY &gt; _Covers through the normal distribution, Section 4.7 of Montgomery and Runger, fourth edition. Cover page and four pages of exam. Page 8 of the Concise Notes.
Purdue - IE230 - 230
IE 230Seat # _Name _Closed book and notes. 60 minutes. Cover page and four pages of exam. Pages 8 and 12 of the Concise Notes. No calculator. No need to simplify answers. This test is cumulative, with emphasis on Section 4.8 through Section 5.5 of Mont
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Quiz 10. April 20, 2011Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculator. Recall: X = in=1 Xi / n Recall: S 2 = [in=1 Xi 2 nX ] / (n 1) Consider a sample containing the data 14.2, 30.4, 8.1, 34.5, 8.7, 5.5. 1. (2 points) Determine the sampl
Purdue - IE - 230
Quiz 1. January 19, 2011Seat # _Name: _Closed book and notes. No calculators. Set theory. For all questions below, consider the universe U = cfw_1, 2, 3, 4, 5, 6. Let E = cfw_2, 4, 6, the set of even integers. Let L = cfw_4, 5, 6, the set of large inte
Purdue - IE - 230
Quiz 1. January 19, 2011Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculators. Set theory. For all questions below, consider the universe U = cfw_1, 2, 3, 4, 5, 6. Let E = cfw_2, 4, 6, the set of even integers. Let L = cfw_4, 5, 6, the set of
Purdue - IE - 230
Quiz 2. January 26, 2011Seat # _Name: _Closed book and notes. No calculators. In probability, we always have an experiment. 1. (1 pt) The set of all _ is called the sample space. 2. (1 pt) Each _ of the experiment results in exactly one outcome. 3. (1
Purdue - IE - 230
Quiz 2. January 26, 2011Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculators. In probability, we always have an experiment. 1. (1 pt) The set of all _ &lt; outcomes&gt; _ is called the sample space. 2. (1 pt) Each _ &lt; replication &gt; _ of the experim
Purdue - IE - 230
Quiz 3. February 4, 2011Seat # _Name: _Closed book and notes. No calculators. Recall: (Total Probability) If B 1, B 2, . . . , Bn partition the sample space S , then P(A ) = P(A | B 1) P(B 1) + P(A | B 2) P(B 2) + . . . + P(A | Bn ) P(Bn ). Questions 1
Purdue - IE - 230
Quiz 3. February 4, 2011Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculators. Recall: (Total Probability) If B 1, B 2, . . . , Bn partition the sample space S , then P(A ) = P(A | B 1) P(B 1) + P(A | B 2) P(B 2) + . . . + P(A | Bn ) P(Bn ). Q
Purdue - IE - 230
Quiz 4. February 16, 2011Seat # _Name: _Closed book and notes. No calculator. Circle all correct answers. 1. (2 pts) For a discrete random variable X , the probability mass function is f X (6) = P(X = 6) P(X &lt; 6) P(X 6) P(X &gt; 6) P(X 6)2. (2 pts) For a
Purdue - IE - 230
Quiz 4. February 16, 2011Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculator. Circle all correct answers. 1. (2 pts) For a discrete random variable X , the probability mass function is f X (6) = P(X = 6) P(X &lt; 6) P(X 6) P(X &gt; 6) P(X 6)2. (2
Purdue - IE - 230
Quiz 5. February 23, 2011Seat # _Name: _Closed book and notes. No calculator. For Questions 15, consider a sequence of units coming off an assembly line. Each is defective with probability 0.01 (and otherwise not defective). Assume that different units
Purdue - IE - 230
Quiz 5. February 23, 2011Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculator. For Questions 15, consider a sequence of units coming off an assembly line. Each is defective with probability 0.01 (and otherwise not defective). Assume that diffe
Purdue - IE - 230
Quiz 6. March 2, 2011Seat # _Name: _Closed book and notes. No calculator. Consider the experiment of choosing a random IE230 class day (that you attend). Let X denote the time (in minutes) that you spend walking to class. (a) (2 points) Sketch the dens
Purdue - IE - 230
Quiz 7. March 23, 2011Seat # _Name: _Closed book and notes. No calculator. From Problem 4-88, Montgomery and Runger, fourth edition. Assume that the distance between major cracks in a highway follows an exponential distribution with a mean of ve miles.
Purdue - IE - 230
Quiz 7. March 23, 2011Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculator. From Problem 4-88, Montgomery and Runger, fourth edition. Assume that the distance between major cracks in a highway follows an exponential distribution with a mean of
Purdue - IE - 230
Quiz 8. March 30, 2011Seat # _Name: _Closed book and notes. No calculator. From Problem 5-1, Montgomery and Runger, fourth edition. probability mass function in the following table. x y f X ,Y (x ,y ) 1 1 0.1 1.5 2 0.3 1.5 3 0.2 2.5 4 0.15 3 5 0.25Con
Purdue - IE - 230
Quiz 8. March 30, 2011Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculator. From Problem 5-1, Montgomery and Runger, fourth edition. probability mass function in the following table. x y f X ,Y (x ,y ) 1 1 0.1 1.5 2 0.3 1.5 3 0.2 2.5 4 0.15 3
Purdue - IE - 230
Quiz 9. April 6, 2011Seat # _Name: _Closed book and notes. No calculator. From Problem 5-17, Montgomery and Runger, fourth edition. Consider the probability density function (pdf) f X ,Y (x , y ) = c x y for 0 x 3, 0 y 3 and zero elsewhere. 1. (2 point
Purdue - IE - 230
Quiz 9. April 6, 2011Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculator. From Problem 5-17, Montgomery and Runger, fourth edition. Consider the probability density function (pdf) f X ,Y (x , y ) = c x y for 0 x 3, 0 y 3 and zero elsewhere. 1
Purdue - IE - 230
Quiz 10. April 20, 2011Seat # _Name: _Closed book and notes. No calculator. Recall: X = in=1 Xi / n Recall: S 2 = [in=1 Xi 2 nX ] / (n 1) Consider a sample containing the data 14.2, 30.4, 8.1, 34.5, 8.7, 5.5. 1. (2 points) Determine the sample size.2
Purdue - IE - 230
IE 230Probability and Statistics in Engineering, IWeb Page: http:/www.ecn.purdue.edu/ie230/ Spring 2011 MWF 1:30pm, GRIS 180 Professor B.W. Schmeiser Grissom 228 Ofce Hours: Help Sessions: School of Industrial Engineering Purdue Universitybruce@purdue.e
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Spring 2011IE230 STUDENT INFORMATIONFamily Name: &quot;First&quot; Name:.All is optional.Indentication_ (Ofcial) _(Preferred) _ Security Exam seating Contact OK to return your work in class? Handedness: Email address (write neatly): Telephone number: YES RIGH
Purdue - IE - 230
IE230CONCISE NOTESRevised January 9, 2011Purpose: These concise notes contain the denitions and results for Purdue Universitys course IE 230, &quot;Probability and Statistics for Engineers, I&quot;. The purpose of these notes is to provide a complete, clear, and
Purdue - IE - 330
IE 330Seat # _Name _Open book and notes. 120 minutes. Cover page and six pages of exam. No calculators.Score _Final Exam (example)SchmeiserIE 330 Probability &amp; Statistics in Engineering IIName _Open book and notes. No calculator. 120 minutes.1.
Purdue - IE - 330
IE 330Seat # _ Open book and notes. 120 minutes. Cover page and six pages of exam. No calculators.Name _ &lt;KEY &gt; _Score _Final Exam (example)SchmeiserIE 330 Probability &amp; Statistics in Engineering IIName _ &lt;KEY &gt; _Open book and notes. No calculator
Purdue - IE - 330
IE 330Seat # _ Open book and notes. 120 minutes.Name _ &lt; KEY &gt; _Covers Chapters 8 through 14 of Montgomery and Runger (fourth edition). Cover page and eight pages of exam. No calculator.(2 points) I have, or will, complete a course evaluation._ .sign
Purdue - IE - 330
IE 330Seat # _Name _Open book and notes. 120 minutes. Covers Chapters 8 through 14 of Montgomery and Runger (fourth edition). Cover page and eight pages of exam. No calculator.(2 points) I have, or will, complete a course evaluation._ .sign here.NEI
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IE 230Seat # _ Closed book and notes. 120 minutes. Cover page, ve pages of exam. No calculator. No need to simplify answers.Name _ &lt; KEY &gt; _(2 points) I have, or will, complete a course evaluation._ .sign here.Score _ &lt; ? / 102 &gt; _Final Exam, Fall 2
Purdue - IE - 230
IE 230Seat # _(Neatly, 1 pt) Name _ Closed book and notes. 60 minutes. Cover page and four pages of exam. No calculator.This test covers event probability, Chapter 2 of Montgomery and Runger, fourth edition.Score _Exam #1, September 21, 2010Schmeise
Purdue - IE - 230
IE 230Seat # _(Neatly, 1 pt) Name _ &lt; KEY &gt; _ Closed book and notes. 60 minutes. Cover page and four pages of exam. No calculator.This test covers event probability, Chapter 2 of Montgomery and Runger, fourth edition.Score _Exam #1, September 21, 201
Purdue - IE - 230
IE 230Seat # _ Please read these directions.Name _Closed book and notes. 60 minutes. Covers through the normal distribution, Section 4.6 of Montgomery and Runger, fourth edition. Cover page and four pages of exam. Pages 8 and 12 of the Concise Notes. A
Purdue - IE - 230
IE 230Seat # _ Please read these directions. Closed book and notes. 60 minutes.Name _ &lt; KEY &gt; _Covers through the normal distribution, Section 4.6 of Montgomery and Runger, fourth edition. Cover page and four pages of exam. Pages 8 and 12 of the Concis
Purdue - IE - 230
IE 230Seat # _Name _Closed book and notes. 60 minutes. Cover page and four pages of exam. Pages 8 and 12 of the Concise Notes. No calculator. No need to simplify answers. This test is cumulative, with emphasis on Section 4.7 through Chapter 6 of Montgo
Purdue - IE - 230
IE 230Seat # _ Closed book and notes. 60 minutes. Cover page and four pages of exam. Pages 8 and 12 of the Concise Notes. No calculator. No need to simplify answers.Name _ &lt; KEY &gt; _This test is cumulative, with emphasis on Section 4.7 through Chapter 6
Purdue - IE - 230
IE 230Seat # _Name _Closed book and notes. 120 minutes. Cover page, ve pages of exam. No calculator. No need to simplify answers.(2 points) I have, or will, complete a course evaluation._ .sign here.Score _Final Exam, Fall 2010 (Dec 13)SchmeiserI
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Quiz 10. November 17, 2010Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculator. Recall 1: Cov(X , Y ) = E[ (X X ) (Y Y ) ] Recall 2: X ,Y = Corr(X , Y ) = Cov(X , Y ) / (X Y ) Recall 3: E[c 0+ik=1 Xi ] = c 0+ik=1 E(Xi ) Recall 4: Var[c 0+ik=1
Purdue - IE - 230
Quiz 1. September 1, 2010Seat # _Name: _Closed book and notes. No calculators. Set theory. For all questions below, consider the universe U composed of persons in this room now. Let B denote the set of all students born in Indiana, M the set of all men
Purdue - IE - 230
Quiz 1. September 1, 2010Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculators. Set theory. For all questions below, consider the universe U composed of persons in this room now. Let B denote the set of all students born in Indiana, M the set
Purdue - IE - 230
Quiz 2. September 8, 2010Seat # _Name: _Closed book and notes. No calculators. In probability, we always have an experiment. 1. (1 pt) The set of all outcomes is called the _. 2. (1 pt) Each replication of the experiment results in exactly one _. 3. (1
Purdue - IE - 230
Quiz 2. September 8, 2010Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculators. In probability, we always have an experiment. 1. (1 pt) The set of all outcomes is called the _ &lt; sample space &gt; _. 2. (1 pt) Each replication of the experiment re
Purdue - IE - 230
Quiz 3. September 15, 2010Seat # _Name: _Closed book and notes. No calculators. Remember. For T/F questions, a statement is true only if it is always true. Below, assume that all probabilities mentioned are not zero.1. (2 pts) The denition of conditio
Purdue - IE - 230
Quiz 3. September 15, 2010Seat # _Name: _Closed book and notes. No calculators. Remember. For T/F questions, a statement is true only if it is always true. Below, assume that all probabilities mentioned are not zero. 1. (2 pts) The denition of conditio
Purdue - IE - 230
Quiz 4. September 29, 2010Seat # _Name: _Closed book and notes. No calculators. Remember. You do not need to simplify answers. Consider ipping a coin twice, independently. For i = 1, 2, let Hi denote that ip i results in &quot;heads&quot; facing up. Let X denote
Purdue - IE - 230
Quiz 4. September 29, 2010Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculators. Remember. You do not need to simplify answers. Consider ipping a coin twice, independently. For i = 1, 2, let Hi denote that ip i results in &quot;heads&quot; facing up. Le
Purdue - IE - 230
Quiz 5. October 6, 2010Seat # _Name: _Closed book and notes. No calculator. For each question, provide the name of the corresponding family of distributions. 1. (1 pt) The 100 coin ips, the number that results in &quot;tails&quot;.2. (1 pt) The number of coin i
Purdue - IE - 230
Quiz 5. October 6, 2010Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculator. For each question, provide the name of the corresponding family of distributions. 1. (1 pt) The 100 coin ips, the number that results in &quot;tails&quot;. binomial 2. (1 pt) T
Purdue - IE - 230
Quiz 6. October 13, 2010Seat # _Name: _Closed book and notes. No calculator. Consider the probability density function f X (y ) = 0.1 for 0 y c and zero elsewhere. 1. (2 pt) Show that c = 10.2. (2 pt) Determine the value of f X (5.6).3. (2 pt) Determ
Purdue - IE - 230
Quiz 6. October 13, 2010Seat # _Name: _Closed book and notes. No calculator. Consider the probability density function f X (y ) = 0.1 for 0 y c and zero elsewhere. 1. (2 pt) Show that c = 10. _ Set 1 = f X (y ) dy = (0.1) dy = 0.1c and solve for c . 0