MATH 104 Practice Problems for Exam 3

Size: px
Start display at page:

Download "MATH 104 Practice Problems for Exam 3"

Transcription

1 MATH 4 Practice Problems for Exam 3 There are too many problems here for one exam, but they re good practice! For each of the following series, say whether it converges or diverges, and explain why n 3 n n 4 n + n 4 n 2 n n sin n 5. How many terms of the series are needed to get a partial sum that is within n3. of the actual sum of the series? Give the smallest possible number of terms. 6. Does 2 n + 3 n 4 n converge? If so, what is the sum? 7. For what values of p does the series n p 2 + n 3 converge? 8. Find the precise interval of convergence of the series (2x 5) n n 2 4 n. 9. Which of the following is the beginning of the Maclaurin series for arctan (x 2 )? (A) x 2 x4 3 + x6 5 x8 x (B) 7 3 x6 6 + x 9 x (C) x 2 2x 4 + 3x 6 4x (D) + x 4 + 3x 8 + 4x (E) x2 3 + x6 6 + x 9 + x (F) x2 x6 3 + x 5 x

2 x. Let F (x) = series for F? cos t dt. Which of the following is the beginning of the Maclaurin (A) x 2 + x2 24 x3 x (B) x x3 72 x (C) x x2 2 + x4 6 x6 x (D) x4 24 x (E) x x2 3 + x4 5 x5 x (F) x x4 5 + x Use the first two non-zero terms of an appropriate series to give an approximation of sin(x 2 ) dx. Give (with explanation) an estimate of the error (difference between your approximation and the actual value of the integral). 2. We would like to estimate the sum of the series, by using the sum of the n first ten terms. Of course, the exact error is the sum of all the terms from the th on, i.e.,. Show that this error is less than /3 by comparing this n with the sum of /n 4 and then by estimating this latter sum using an appropriate integral. 3. Find the center and radius of convergence of the power series n=2 ( ) n + n n 2 (x 2) n. (In other words, find the largest open interval on which the series converges). 4. Write the second-degree Taylor polynomial for f(x) = x centered at a = 25. Use this polynomial from to estimate 26. Also, give an estimate of the error. 5. Determine whether the series converges or diverges. Please explain carefully. n n n 2 6. Does the sequence {(n 2 + n) /n } converge or diverge? If it converges, calculate its limit.

3 7. Let a n = n + (x 2 + x 4 ) dx. Does the sequence {a n} converge? If so, what is 2 the limit? 8. Determine whether the following series converges: ln( + n=3 n ) 2 9. Does the series 2. Find the limit. n!(n + )! (3n)! converge or diverge? Be sure to justify your answer. lim x cos x e x2 The rest of these are problems from exams the last few times I ve given the course. { ( )} n 2 2. What is the limit of the sequence arctan? + n 2 (a) (b) (c) π 4 (d) ln 3 (e) ln 9 (f) diverges 22. Does the series n=2 n 2 n 23. What is the limit of the sequence { cos ( )} n? + n (a) (b) (c) π 4 (d) ln 3 (e) ln 9 (f) diverges 24. Does the series n=2 n n

4 25. Does the series n! n5 26. What is the limit of the sequence 3 (a) (b) (c) Does the series 28. Does the series 29. Does the series 3. Does the series n= n + n ( {n 2 cos )}? n (d) 2 nn 3 n n3 3 (e) 2 2n + 3 (n 2 + 3n + 6) 2 (f) diverges (x 4) n 3. For which values of x does the series converge? What is the sum? n= 5 n (a) < x <, (b) < x <, (c) < x < 9, x 4 9 x x (d) < x < 9, (e) < x <, (f) < x < 9, 9 x 5 x 5 x 32. Does the series ( ) n 2 n 3 n + 4n absolutely (b) Converges conditionally (c) Diverges

5 33. Does the series n 5 n! 34. Does the series diverge? ( ) n (n 2 + n 3 ) n 4 + converge absolutely, converge conditionally, or absolutely (b) Converges conditionally (c) Diverges 35. Does the series (2n)! 2 n (n!) Does the series 2 n (n!) 2 (2n)! 37. Does the series ( ) n n ln n absolutely (b) Converges conditionally (c) Diverges 38. For which values of p does the series n= (n 2 + ) p converge? (a) p > (b) p < (c) p > 2 (d) p < ln 5 ln 3 (e) p < ln 5 ln For which values of x does the series ( ) n (x 2) n converge? n3 n (f) p < (a) < x 5 (b) < x < 5 (c) x 5 (d) 5/3 x 7/3 (e) 3 < x < 3 (f) 3 x 3

6 4. For which values of p does the series ln( + n p ) converge? n= (a) p > (b) p < (c) p > (d) p < ln 5 ln 3 (e) p < ln 5 2 ln 3 (x 2) n 4. For which values of x does the series converge? n 2 3 n (f) p < (a) < x 5 (b) < x < 5 (c) x 5 (d) 5/3 x 7/3 (e) 3 < x < 3 (f) 3 x For which values of p does the series n= 3 np 4 n + 5 n converge? (a) p > (b) p < (c) p > (d) p < ln 5 ln 3 (e) p < ln 5 2 ln 3 3 n (x 2) n 43. For which values of x does the series converge? n 2 (f) p < (a) < x 5 (b) < x < 5 (c) x 5 (d) 5/3 x 7/3 (e) 3 < x < 3 (f) 3 x What are the first few nonzero terms of the Maclaurin series for f(x) = xe 3x? (a) 2x x x6 + (b) x + 4 x2 + 8 x3 + 2 x4 + (c) x x3 + 6 x x5 + (d) + 2x x x6 + (e) x 2 4 x3 + 6 x4 64 x5 + (f) x + 3x x x Which of the following gives the value of within /)? (a) 2 (b) 2 2 (c) /2 (d) 2 32 e x5 dx correct to within. (i.e., (e) (f) What are the first few nonzero terms of the Maclaurin series for f(x) = 4x2 4 x? (a) 2x x x6 + (b) x + 4 x2 + 8 x3 + 2 x4 +

7 (c) x x3 + 6 x x5 + (d) + 2x x x6 + (e) x 2 4 x3 + 6 x4 64 x5 + (f) x + 3x x x Which of the following gives the value of (i.e., within /)? (a) 2 (b) 2 2 (c) /2 (d) 2 32 cos(x 2 ) dx correct to within. (e) (f) What are the first few nonzero terms of the Maclaurin series for f(x) = cos(2x)? (a) 2x x x6 + (b) x + 4 x2 + 8 x3 + 2 x4 + (c) x x3 + 6 x x5 + (d) + 2x x x6 + (e) x 2 4 x3 + 6 x4 64 x5 + (f) x + 3x x x Which of the following gives the value of (i.e., within /)? (a) 2 (b) 2 2 (c) /2 arctan(x 2 ) dx correct to within. (d) 2 32 (e) (f) MATH 4-4 Third Midterm Exam - Fall 2. What is the limit of the sequence {sin(arctan(ln(n)))}?. What is the limit of the sequence {cos(arctan(ln(n)))}?. What is the limit of the sequence {ln(cos(arctan(n)))}? (a) (b) (c) π 4 (d) ln 2 (e) π 2 (f) diverges 2. Does the series n=2 n n 3 n +

8 2. Does the series 2. Does the series n=2 n=2 n 2 n 3 n + n n 2 n + 3. Does the series 3. Does the series 3. Does the series 2 n n5 n 5 2n n 5 5 n n! 4. Does the series ( ) n (n 2 + n) n 3 + 2n + 4. Does the series diverge? 4. Does the series diverge? ( ) n (n 2 + n 3 ) n 5 + ( ) n (n 2 + n 3 ) n 4 + ln n converge absolutely, converge conditionally, or converge absolutely, converge conditionally, or absolutely (b) Converges conditionally (c) Diverges 5. If it converges, find the sum of the series why. ( ) n+ n2 n If the series diverges, explain

9 5. If it converges, find the sum of the series why. n= ( ) n π 2n 9 n (2n)! If the series diverges, explain 5. If it converges, find the sum of the series n= ( ) n If the series diverges, explain why. n! 2n (a) ln 2 (b) ln 3 ln 2 (c) / e (d) /2 (e) /e 2 (f) Diverges 6. Does the series n=2 ( ) n ln(n!) 6. Does the series n=2 ( ) n n 3 + ln(n!) 6. Does the series n=2 ( ) n ln(n!) n5 + absolutely (b) Converges conditionally (c) Diverges 7. For which values of p does the series 7. For which values of p does the series 7. For which values of p does the series + n p converge? + np converge? n + n p converge? (a) p > (b) p < (c) p > 2 (d) p > 2 (e) p < (f) no value of p 8. For which values of x does the series 8. For which values of x does the series (x ) n converge? n 2 (x ) n + 2 n converge?

10 8. For which values of x does the series nx n 2 n converge? (a) < x < 3 (b) < x < 2 (c) x 3 (d) x 2 (e) 2 < x < 2 (f) 2 x 2 9. What are the first few nonzero terms of the Maclaurin series for f(x) = x cos(2x)? 9. What are the first few nonzero terms of the Maclaurin series for f(x) = 2 sin(2x)? 9. What are the first few nonzero terms of the Maclaurin series for f(x) = xe 2x2? (a) 2x x x6 + (b) x + 4 x2 + 8 x3 + 2 x4 + (c) x x3 + 6 x x5 + (d) x 2x x x7 + (e) x 2 3 x x x7 + (f) x 2x 3 + 2x x7 +. Which of the following is closest to the value of answer.. + x2 dx? Justify your. Which of the following is closest to the value of. Which of the following is closest to the value of.. e x2 /2 dx? Justify your answer. cos(x 2 ) dx? Justify your answer. (a).998 (b).999 (c). (d). (e).2 (f).3

11 MATH 4 Third Midterm Exam - Fall 24. What is the limit of the sequence defined recursively by a = and a n+ = a n + 6?. What is the limit of the sequence defined recursively by a = and a n+ = a n + 2? (a) 3 (b) 4 (c) 5 (d) 6 (e) 2 (f) 2. What is the limit of the sequence defined recursively by a = and a n+ = a n + 2? (a) 3 (b) 4 (c) 5 (d) 6 (e) 2 (f) 2 2. Does the series 2. Does the series 2. Does the series n + 3 n 2 n + 5 n + 2 n n + 4 n + 5 n 3 n + 3 n 2 3 n 3. Does the series n! 3. Does the series 3. Does the series n! n 2 3n 2 n n3

12 4. Does the series 4. Does the series 4. Does the series ( ) tan n 2 ( ) sin n 2 ( ) cos n 2 5. If it converges, find the sum of the series explain why. n= ( ) n π 2n+ 6 2n+ (2n + )! If the series diverges, 5. If it converges, find the sum of the series why. 5. If it converges, find the sum of the series why. ( ) n+ n3 n ( ) n 2 n n= n! If the series diverges, explain If the series diverges, explain (a) ln 3 (b) ln 4 ln 3 (c) e 2 (d) /2 (e) /e 2 (f) Diverges 6. Does the series ( ) n n 2 n Does the series ( ) n (n 2 + ) n 3 6. Does the series ( ) n n 2 n 4 + absolutely (b) Converges conditionally (c) Diverges

13 7. For which values of p does the series 7. For which values of p does the series 7. For which values of p does the series n ( + n 2 ) p converge? ( + n 3 ) p converge? n 2p ( + n 2 ) p converge? (a) p > (b) p < (c) p > 3 (d) p > 3 (e) p < (f) no value of p 8. For which values of x does the series 8. For which values of x does the series (x 2) n n 2 2 n (x 2) n n + converge? converge? 8. For which values of x does the series x n n 2 2 n converge? (a) 2 < x 2 (b) < x < 4 (c) x 4 (d) x 3 (e) x < 3 (f) 2 x 2 9. What are the first few nonzero terms of the Maclaurin series for f(x) = arctan(x 2 )? 9. What are the first few nonzero terms of the Maclaurin series for f(x) = sin(x 2 )? 9. What are the first few nonzero terms of the Maclaurin series for f(x) = x 2 cos(x 2 )? (a) 2x x4 + (b) x 2 2 x x + (c) x x6 + 6 x + (d) x 2 3 x6 + 5 x + (e) x 2 6 x6 + 2 x + (f) x 2 6 x6 + 5 x +

14 .. Which of the following is closest to the value of sin x dx? Justify your answer.. Which of the following is closest to the value of answer.. arctan(x) dx? Justify your. Which of the following is closest to the value of. xe x2 dx? Justify your answer. (a).4975 (b).498 (c).4986 (d).4992 (e).4996 (f).4999 MATH 4 Third Midterm Exam - Fall 25. For each of the following series, say whether it converges or diverges and which test you would use to prove it. (You don t have to give the details of applying the test) (.) n n Test: (.2) 2 n n! Test: (.3) ln n Test: (.4) (n!) 2 Test:

15 2. What is the limit of the sequence defined recursively by a = and a n+ = 2 + a n? 2. What is the limit of the sequence defined recursively by a = and a n+ = 4 + a n? 2. What is the limit of the sequence defined recursively by a = and a n+ = 8 + a n? (a) + 2 (b) + 3 (c) (d) (e) (f) Does the series (n + ) 3/2 n 3 n Does the series n + 2 n n Does the series (n + 3) 3/2 n 2 n Does the series (2n)! (n!) 2 4. Does the series (n!) 2 (2n)! 4. Does the series 2 n n! (2n)!

16 ( 5. Does the series e /n ) 5. Does the series 5. Does the series ( e /n e /n) ( e /n 2) 6. If it converges, find the sum of the series why. n= ( ) n π 2n 3 2n (2n)! If the series diverges, explain 6. If it converges, find the sum of the series why. ( ) n+ n2 n If the series diverges, explain 6. If it converges, find the sum of the series n= ( ) n 2 n! If the series diverges, explain why. (a) ln 2 (b) ln 3 ln 2 (c) /e 2 (d) /2 (e) 2/e (f) Diverges 7. Does the series ( ) n n 2 ln n n Does the series diverge? ( ) n (n 2 + ln n) n 3 converge absolutely, converge conditionally, or 7. Does the series ( ) n n 2 ln n n 4 + absolutely (b) Converges conditionally (c) Diverges

17 8. For which values of p does the series 8. For which values of p does the series 8. For which values of p does the series n p + n 2 converge? ( + n p ) 4 converge? n p ( + n 2 ) p converge? (a) p < (b) p > (c) p > 4 (d) p > 4 (e) p < (f) no value of p ( ) n+ (x ) n 9. For which values of x does the series n 4 n converge? 9. For which values of x does the series (x + ) n (n + ) 4 n converge? ( ) n+ (x + ) n 9. For which values of x does the series n 2 4 n converge? (a) 3 < x < 5 (b) 3 x < 5 (c) 3 < x 5 (d) 5 < x 3 (e) 5 x < 3 (f) 5 x 3. Using the Taylor series for 3 x centered at x = 8, determine which of the following is closest to the value of Justify your answer.. Using the Taylor series for 4 x centered at x = 6, determine which of the following is closest to the value of Justify your answer.. Using the Taylor series for 5 x centered at x = 32, determine which of the following is closest to the value of Justify your answer. (a) 2.4 (b) 2.5 (c) 2.6 (d) 2.7 (e) 2.8 (f) 2.9

18 .2. Which of the following is closest to the value of cos(x 2 ) dx? Justify your answer.. Which of the following is closest to the value of.2 e 2x2 dx? Justify your answer.. Which of the following is closest to the value of.2 dx? Justify your answer. + x2 (a).95 (b).96 (c).97 (d).98 (e).99 (f).2

MATH 104 Practice Problems for Exam 3

MATH 104 Practice Problems for Exam 3 MATH 14 Practice Problems for Exam 3 There are too many problems here for one exam, but they re good practice! For each of the following series, say whether it converges or diverges, and explain why. 1..

More information

MA162 EXAM III FALL 2016 NOVEMBER 10, 2016 TEST NUMBER 01 INSTRUCTIONS:

MA162 EXAM III FALL 2016 NOVEMBER 10, 2016 TEST NUMBER 01 INSTRUCTIONS: MA62 EXAM III FALL 206 NOVEMBER 0, 206 TEST NUMBER 0 INSTRUCTIONS:. Do not open the exam booklet until you are instructed to do so. 2. Before you open the booklet fill in the information below and use

More information

Math 1AA3/1ZB3 Sample Test 1, Version #1

Math 1AA3/1ZB3 Sample Test 1, Version #1 Math 1AA3/1ZB3 Sample Test 1, Version 1 Name: (Last Name) (First Name) Student Number: Tutorial Number: This test consists of 20 multiple choice questions worth 1 mark each (no part marks), and 1 question

More information

Feb. 4 Math 2335 sec 001 Spring 2014

Feb. 4 Math 2335 sec 001 Spring 2014 Feb. 4 Math 2335 sec 001 Spring 2014 Propagated Error in Function Evaluation Let f (x) be some differentiable function. Suppose x A is an approximation to x T, and we wish to determine the function value

More information

February 2 Math 2335 sec 51 Spring 2016

February 2 Math 2335 sec 51 Spring 2016 February 2 Math 2335 sec 51 Spring 2016 Section 3.1: Root Finding, Bisection Method Many problems in the sciences, business, manufacturing, etc. can be framed in the form: Given a function f (x), find

More information

Midterm 3. Math Summer Last Name: First Name: Student Number: Section (circle one): 921 (Warren Code) or 922 (Marc Carnovale)

Midterm 3. Math Summer Last Name: First Name: Student Number: Section (circle one): 921 (Warren Code) or 922 (Marc Carnovale) Math 184 - Summer 2011 Midterm 3 Last Name: First Name: Student Number: Section (circle one): 921 (Warren Code) or 922 (Marc Carnovale) Read all of the following information before starting the exam: Calculators

More information

Please make sure you bubble in your answers carefully on the bubble sheet and circle your answers on your test booklet.

Please make sure you bubble in your answers carefully on the bubble sheet and circle your answers on your test booklet. Math 128 Exam #1 Fall 2017 SPECIAL CODE: 101701 Name Signature: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Academic Honesty Statement: By signing my name above, I acknowledge

More information

Version A. Problem 1. Let X be the continuous random variable defined by the following pdf: 1 x/2 when 0 x 2, f(x) = 0 otherwise.

Version A. Problem 1. Let X be the continuous random variable defined by the following pdf: 1 x/2 when 0 x 2, f(x) = 0 otherwise. Math 224 Q Exam 3A Fall 217 Tues Dec 12 Version A Problem 1. Let X be the continuous random variable defined by the following pdf: { 1 x/2 when x 2, f(x) otherwise. (a) Compute the mean µ E[X]. E[X] x

More information

Math 229 FINAL EXAM Review: Fall Final Exam Monday December 11 ALL Projects Due By Monday December 11

Math 229 FINAL EXAM Review: Fall Final Exam Monday December 11 ALL Projects Due By Monday December 11 Math 229 FINAL EXAM Review: Fall 2018 1 Final Exam Monday December 11 ALL Projects Due By Monday December 11 1. Problem 1: (a) Write a MatLab function m-file to evaluate the following function: f(x) =

More information

Additional Review Exam 1 MATH 2053 Please note not all questions will be taken off of this. Study homework and in class notes as well!

Additional Review Exam 1 MATH 2053 Please note not all questions will be taken off of this. Study homework and in class notes as well! Additional Review Exam 1 MATH 2053 Please note not all questions will be taken off of this. Study homework and in class notes as well! x 2 1 1. Calculate lim x 1 x + 1. (a) 2 (b) 1 (c) (d) 2 (e) the limit

More information

The Intermediate Value Theorem states that if a function g is continuous, then for any number M satisfying. g(x 1 ) M g(x 2 )

The Intermediate Value Theorem states that if a function g is continuous, then for any number M satisfying. g(x 1 ) M g(x 2 ) APPM/MATH 450 Problem Set 5 s This assignment is due by 4pm on Friday, October 25th. You may either turn it in to me in class or in the box outside my office door (ECOT 235). Minimal credit will be given

More information

The Maclaurin Expansions

The Maclaurin Expansions FORMALIZED MATHEMATICS Volume 13, Number 3, Pages 421 425 University of Bia lystok, 2005 The Maclaurin Expansions Akira Nishino Shinshu University Nagano, Japan Yasunari Shidama Shinshu University Nagano,

More information

Math 118 Final Exam December 14, 2011

Math 118 Final Exam December 14, 2011 Math 118 Final Exam December 14, 2011 Name (please print): Signature: Student ID: Directions. Fill out your name, signature and student ID number on the lines above right now before starting the exam!

More information

Interpolation. 1 What is interpolation? 2 Why are we interested in this?

Interpolation. 1 What is interpolation? 2 Why are we interested in this? Interpolation 1 What is interpolation? For a certain function f (x we know only the values y 1 = f (x 1,,y n = f (x n For a point x different from x 1,,x n we would then like to approximate f ( x using

More information

Name: Math 10250, Final Exam - Version A May 8, 2007

Name: Math 10250, Final Exam - Version A May 8, 2007 Math 050, Final Exam - Version A May 8, 007 Be sure that you have all 6 pages of the test. Calculators are allowed for this examination. The exam lasts for two hours. The Honor Code is in effect for this

More information

1.12 Exercises EXERCISES Use integration by parts to compute. ln(x) dx. 2. Compute 1 x ln(x) dx. Hint: Use the substitution u = ln(x).

1.12 Exercises EXERCISES Use integration by parts to compute. ln(x) dx. 2. Compute 1 x ln(x) dx. Hint: Use the substitution u = ln(x). 2 EXERCISES 27 2 Exercises Use integration by parts to compute lnx) dx 2 Compute x lnx) dx Hint: Use the substitution u = lnx) 3 Show that tan x) =/cos x) 2 and conclude that dx = arctanx) + C +x2 Note:

More information

Final Exam Review. 1. Simplify each of the following. Express each answer with positive exponents.

Final Exam Review. 1. Simplify each of the following. Express each answer with positive exponents. 1 1. Simplify each of the following. Express each answer with positive exponents. a a) 4 b 1x xy b) 1 x y 1. Evaluate without the use of a calculator. Express answers as integers or rational numbers. a)

More information

f(u) can take on many forms. Several of these forms are presented in the following examples. dx, x is a variable.

f(u) can take on many forms. Several of these forms are presented in the following examples. dx, x is a variable. MATH 56: INTEGRATION USING u-du SUBSTITUTION: u-substitution and the Indefinite Integral: An antiderivative of a function f is a function F such that F (x) = f (x). Any two antiderivatives of f differ

More information

BINOMIAL SERIES PART 2

BINOMIAL SERIES PART 2 BINOMIAL SERIES PART 2 SERIES 3 INU0114/514 (MATHS 1) Dr Adrian Jannetta MIMA CMath FRAS Binomial Series Part 2 1/ 28 Adrian Jannetta Objectives The purpose of this session is to introduce power series

More information

Third-order iterative methods. free from second derivative

Third-order iterative methods. free from second derivative International Mathematical Forum, 2, 2007, no. 14, 689-698 Third-order iterative methods free from second derivative Kou Jisheng 1 and Li Yitian State Key Laboratory of Water Resources and Hydropower Engineering

More information

Final Exam Review - Business Calculus - Spring x x

Final Exam Review - Business Calculus - Spring x x Final Exam Review - Business Calculus - Spring 2016 Name: 1. (a) Find limit lim x 1 x 1 x 1 (b) Find limit lim x 0 x + 2 4 x 1 2. Use the definition of derivative: dy dx = lim f(x + h) f(x) h 0 h Given

More information

Algebra 2 Final Exam

Algebra 2 Final Exam Algebra 2 Final Exam Name: Read the directions below. You may lose points if you do not follow these instructions. The exam consists of 30 Multiple Choice questions worth 1 point each and 5 Short Answer

More information

SOLUTIONS to Review Problems for Chapter 4. by Vladimir A. Dobrushkin

SOLUTIONS to Review Problems for Chapter 4. by Vladimir A. Dobrushkin Hughes-Hallett SOLUTIONS to Review Problems for Chapter 4 by Vladimir A. Dobrushkin Third Edition 4.1 The points: (1, 2) is local and global minimum, (3.5, 8) is local and global maximum, and (5, 4.5)

More information

Taylor Series & Binomial Series

Taylor Series & Binomial Series Taylor Series & Binomial Series Calculus II Josh Engwer TTU 09 April 2014 Josh Engwer (TTU) Taylor Series & Binomial Series 09 April 2014 1 / 20 Continuity & Differentiability of a Function (Notation)

More information

THE USE OF A CALCULATOR, CELL PHONE, OR ANY OTHER ELECTRONIC DEVICE IS NOT PERMITTED DURING THIS EXAMINATION.

THE USE OF A CALCULATOR, CELL PHONE, OR ANY OTHER ELECTRONIC DEVICE IS NOT PERMITTED DURING THIS EXAMINATION. MATH 110 FINAL EXAM **Test** December 14, 2009 TEST VERSION A NAME STUDENT NUMBER INSTRUCTOR SECTION NUMBER This examination will be machine processed by the University Testing Service. Use only a number

More information

Homework Assignments

Homework Assignments Homework Assignments Week 1 (p. 57) #4.1, 4., 4.3 Week (pp 58 6) #4.5, 4.6, 4.8(a), 4.13, 4.0, 4.6(b), 4.8, 4.31, 4.34 Week 3 (pp 15 19) #1.9, 1.1, 1.13, 1.15, 1.18 (pp 9 31) #.,.6,.9 Week 4 (pp 36 37)

More information

Probability. An intro for calculus students P= Figure 1: A normal integral

Probability. An intro for calculus students P= Figure 1: A normal integral Probability An intro for calculus students.8.6.4.2 P=.87 2 3 4 Figure : A normal integral Suppose we flip a coin 2 times; what is the probability that we get more than 2 heads? Suppose we roll a six-sided

More information

Page Points Score Total: 100

Page Points Score Total: 100 Math 1130 Spring 2019 Sample Midterm 2b 2/28/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 10 pages (including this cover page) and 9 problems. Check to see if any

More information

2) Endpoints of a diameter (-1, 6), (9, -2) A) (x - 2)2 + (y - 4)2 = 41 B) (x - 4)2 + (y - 2)2 = 41 C) (x - 4)2 + y2 = 16 D) x2 + (y - 2)2 = 25

2) Endpoints of a diameter (-1, 6), (9, -2) A) (x - 2)2 + (y - 4)2 = 41 B) (x - 4)2 + (y - 2)2 = 41 C) (x - 4)2 + y2 = 16 D) x2 + (y - 2)2 = 25 Math 101 Final Exam Review Revised FA17 (through section 5.6) The following problems are provided for additional practice in preparation for the Final Exam. You should not, however, rely solely upon these

More information

Numerical schemes for SDEs

Numerical schemes for SDEs Lecture 5 Numerical schemes for SDEs Lecture Notes by Jan Palczewski Computational Finance p. 1 A Stochastic Differential Equation (SDE) is an object of the following type dx t = a(t,x t )dt + b(t,x t

More information

ELEMENTS OF MONTE CARLO SIMULATION

ELEMENTS OF MONTE CARLO SIMULATION APPENDIX B ELEMENTS OF MONTE CARLO SIMULATION B. GENERAL CONCEPT The basic idea of Monte Carlo simulation is to create a series of experimental samples using a random number sequence. According to the

More information

Definition 4.1. In a stochastic process T is called a stopping time if you can tell when it happens.

Definition 4.1. In a stochastic process T is called a stopping time if you can tell when it happens. 102 OPTIMAL STOPPING TIME 4. Optimal Stopping Time 4.1. Definitions. On the first day I explained the basic problem using one example in the book. On the second day I explained how the solution to the

More information

Final Examination Re - Calculus I 21 December 2015

Final Examination Re - Calculus I 21 December 2015 . (5 points) Given the graph of f below, determine each of the following. Use, or does not exist where appropriate. y (a) (b) x 3 x 2 + (c) x 2 (d) x 2 (e) f(2) = (f) x (g) x (h) f (3) = 3 2 6 5 4 3 2

More information

Random Variables and Probability Functions

Random Variables and Probability Functions University of Central Arkansas Random Variables and Probability Functions Directory Table of Contents. Begin Article. Stephen R. Addison Copyright c 001 saddison@mailaps.org Last Revision Date: February

More information

Final Exam Sample Problems

Final Exam Sample Problems MATH 00 Sec. Final Exam Sample Problems Please READ this! We will have the final exam on Monday, May rd from 0:0 a.m. to 2:0 p.m.. Here are sample problems for the new materials and the problems from the

More information

MAT25 LECTURE 10 NOTES. = a b. > 0, there exists N N such that if n N, then a n a < ɛ

MAT25 LECTURE 10 NOTES. = a b. > 0, there exists N N such that if n N, then a n a < ɛ MAT5 LECTURE 0 NOTES NATHANIEL GALLUP. Algebraic Limit Theorem Theorem : Algebraic Limit Theorem (Abbott Theorem.3.3) Let (a n ) and ( ) be sequences of real numbers such that lim n a n = a and lim n =

More information

Computation of one-sided probability density functions from their cumulants

Computation of one-sided probability density functions from their cumulants Journal of Mathematical Chemistry, Vol. 41, No. 1, January 27 26) DOI: 1.17/s191-6-969-x Computation of one-sided probability density functions from their cumulants Mário N. Berberan-Santos Centro de Química-Física

More information

Class 12. Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science. Marquette University MATH 1700

Class 12. Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science. Marquette University MATH 1700 Class 12 Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science Copyright 2017 by D.B. Rowe 1 Agenda: Recap Chapter 6.1-6.2 Lecture Chapter 6.3-6.5 Problem Solving Session. 2

More information

Percentage Change and Elasticity

Percentage Change and Elasticity ucsc supplementary notes math 105a Percentage Change and Elasticity 1. Relative and percentage rates of change The derivative of a differentiable function y = fx) describes how the function changes. The

More information

Numerical Differentiation & Integration. Romberg Integration

Numerical Differentiation & Integration. Romberg Integration Numerical Differentiation & Integration Romberg Integration Numerical Analysis (9th Edition) R L Burden & J D Faires Beamer Presentation Slides prepared by John Carroll Dublin City University c 2011 Brooks/Cole,

More information

Name: CS3130: Probability and Statistics for Engineers Practice Final Exam Instructions: You may use any notes that you like, but no calculators or computers are allowed. Be sure to show all of your work.

More information

Problems from 9th edition of Probability and Statistical Inference by Hogg, Tanis and Zimmerman:

Problems from 9th edition of Probability and Statistical Inference by Hogg, Tanis and Zimmerman: Math 224 Fall 207 Homework 5 Drew Armstrong Problems from 9th edition of Probability and Statistical Inference by Hogg, Tanis and Zimmerman: Section 3., Exercises 3, 0. Section 3.3, Exercises 2, 3, 0,.

More information

Chapter 2: Random Variables (Cont d)

Chapter 2: Random Variables (Cont d) Chapter : Random Variables (Cont d) Section.4: The Variance of a Random Variable Problem (1): Suppose that the random variable X takes the values, 1, 4, and 6 with probability values 1/, 1/6, 1/, and 1/6,

More information

Final Exam Review. b) lim. 3. Find the limit, if it exists. If the limit is infinite, indicate whether it is + or. [Sec. 2.

Final Exam Review. b) lim. 3. Find the limit, if it exists. If the limit is infinite, indicate whether it is + or. [Sec. 2. Final Exam Review Math 42G 2x, x >. Graph f(x) = { 8 x, x Find the following limits. a) lim x f(x). Label at least four points. [Sec. 2.4, 2.] b) lim f(x) x + c) lim f(x) = Exist/DNE (Circle one) x 2,

More information

MATH 2070 Test 2 (Sections & )

MATH 2070 Test 2 (Sections & ) Multiple Choice: Use a #2 pencil and completely fill in each bubble on your scantron to indicate the answer to each question. Each question has one correct answer. If you indicate more than one answer,

More information

Monte Carlo and Empirical Methods for Stochastic Inference (MASM11/FMSN50)

Monte Carlo and Empirical Methods for Stochastic Inference (MASM11/FMSN50) Monte Carlo and Empirical Methods for Stochastic Inference (MASM11/FMSN50) Magnus Wiktorsson Centre for Mathematical Sciences Lund University, Sweden Lecture 5 Sequential Monte Carlo methods I January

More information

Mathematics of Finance Final Preparation December 19. To be thoroughly prepared for the final exam, you should

Mathematics of Finance Final Preparation December 19. To be thoroughly prepared for the final exam, you should Mathematics of Finance Final Preparation December 19 To be thoroughly prepared for the final exam, you should 1. know how to do the homework problems. 2. be able to provide (correct and complete!) definitions

More information

MATH20330: Optimization for Economics Homework 1: Solutions

MATH20330: Optimization for Economics Homework 1: Solutions MATH0330: Optimization for Economics Homework 1: Solutions 1. Sketch the graphs of the following linear and quadratic functions: f(x) = 4x 3, g(x) = 4 3x h(x) = x 6x + 8, R(q) = 400 + 30q q. y = f(x) is

More information

The method of false position is also an Enclosure or bracketing method. For this method we will be able to remedy some of the minuses of bisection.

The method of false position is also an Enclosure or bracketing method. For this method we will be able to remedy some of the minuses of bisection. Section 2.2 The Method of False Position Features of BISECTION: Plusses: Easy to implement Almost idiot proof o If f(x) is continuous & changes sign on [a, b], then it is GUARANTEED to converge. Requires

More information

EXAM #2 Review. Spring Name: MATH 142, Drost Section # Seat #

EXAM #2 Review. Spring Name: MATH 142, Drost Section # Seat # Spring 2010 1 EXAM #2 Review Name: MATH 142, Drost Section # Seat # 1. Katy s Kitchen has a total cost function of C(x) = x + 25 to make x jars of jam, and C(x) is measured in dollars. The revenue in dollars,

More information

Cost (in dollars) 0 (free) Number of magazines purchased

Cost (in dollars) 0 (free) Number of magazines purchased Math 1 Midterm Review Name *****Don t forget to study the other methods for solving systems of equations (substitution and elimination) as well as systems of linear inequalities and line of best fit! Also,

More information

MATH60082 Example Sheet 6 Explicit Finite Difference

MATH60082 Example Sheet 6 Explicit Finite Difference MATH68 Example Sheet 6 Explicit Finite Difference Dr P Johnson Initial Setup For the explicit method we shall need: All parameters for the option, such as X and S etc. The number of divisions in stock,

More information

Math Fundamental Principles of Calculus Final - Fall 2015 December 14th, 2015

Math Fundamental Principles of Calculus Final - Fall 2015 December 14th, 2015 Math 118 - Fundamental Principles of Calculus Final - Fall 2015 December 14th, 2015 Directions. Fill out your name, signature and student ID number on the lines below right now, before starting the exam!

More information

Trigonometric Integrals

Trigonometric Integrals Trigonometric Integrals May 0, 03 Goals: Do integrals involving trigonometric functions. Review the erivatives for trigonometric functions. Review trigonometric ientities Trigonometric Derivatives We first

More information

25 Increasing and Decreasing Functions

25 Increasing and Decreasing Functions - 25 Increasing and Decreasing Functions It is useful in mathematics to define whether a function is increasing or decreasing. In this section we will use the differential of a function to determine this

More information

Solution 2.1. We determine the accumulation function/factor and use it as follows.

Solution 2.1. We determine the accumulation function/factor and use it as follows. Applied solutions The time value of money: Chapter questions Solution.. We determine the accumulation function/factor and use it as follows. a. The accumulation factor is A(t) =. t. b. The accumulation

More information

Class Notes: On the Theme of Calculators Are Not Needed

Class Notes: On the Theme of Calculators Are Not Needed Class Notes: On the Theme of Calculators Are Not Needed Public Economics (ECO336) November 03 Preamble This year (and in future), the policy in this course is: No Calculators. This is for two constructive

More information

Applying the Principles of Quantitative Finance to the Construction of Model-Free Volatility Indices

Applying the Principles of Quantitative Finance to the Construction of Model-Free Volatility Indices Applying the Principles of Quantitative Finance to the Construction of Model-Free Volatility Indices Christopher Ting http://www.mysmu.edu/faculty/christophert/ Christopher Ting : christopherting@smu.edu.sg

More information

MATH 105 CHAPTER 2 page 1

MATH 105 CHAPTER 2 page 1 MATH 105 CHAPTER 2 page 1 RATE OF CHANGE EXAMPLE: A company determines that the cost in dollars to manufacture x cases ofcdʼs Imitations of the Rich and Famous by Kevin Connors is given by C(x) =100 +15x

More information

1. Geometric sequences can be modeled by exponential functions using the common ratio and the initial term.

1. Geometric sequences can be modeled by exponential functions using the common ratio and the initial term. 1 Geometric sequences can be modeled by exponential functions using the common ratio and the initial term Exponential growth and exponential decay functions can be used to model situations where a quantity

More information

Finding Zeros of Single- Variable, Real Func7ons. Gautam Wilkins University of California, San Diego

Finding Zeros of Single- Variable, Real Func7ons. Gautam Wilkins University of California, San Diego Finding Zeros of Single- Variable, Real Func7ons Gautam Wilkins University of California, San Diego General Problem - Given a single- variable, real- valued func7on, f, we would like to find a real number,

More information

Method of Characteristics

Method of Characteristics The Ryan C. Trinity University Partial Differential Equations January 22, 2015 Linear and Quasi-Linear (first order) PDEs A PDE of the form A(x,y) u x +B(x,y) u y +C 1(x,y)u = C 0 (x,y) is called a (first

More information

Asymptotic Notation. Instructor: Laszlo Babai June 14, 2002

Asymptotic Notation. Instructor: Laszlo Babai June 14, 2002 Asymptotic Notation Instructor: Laszlo Babai June 14, 2002 1 Preliminaries Notation: exp(x) = e x. Throughout this course we shall use the following shorthand in quantifier notation. ( a) is read as for

More information

Introduction to Computational Finance and Financial Econometrics Return Calculations

Introduction to Computational Finance and Financial Econometrics Return Calculations You can t see this text! Introduction to Computational Finance and Financial Econometrics Return Calculations Eric Zivot Spring 2015 Eric Zivot (Copyright 2015) Return Calculations 1 / 56 Outline 1 The

More information

Math489/889 Stochastic Processes and Advanced Mathematical Finance Homework 5

Math489/889 Stochastic Processes and Advanced Mathematical Finance Homework 5 Math489/889 Stochastic Processes and Advanced Mathematical Finance Homework 5 Steve Dunbar Due Fri, October 9, 7. Calculate the m.g.f. of the random variable with uniform distribution on [, ] and then

More information

MATH Intuitive Calculus Spring 2011 Circle one: 8:50 5:30 Ms. Kracht. Name: Score: /100. EXAM 2: Version A NO CALCULATORS.

MATH Intuitive Calculus Spring 2011 Circle one: 8:50 5:30 Ms. Kracht. Name: Score: /100. EXAM 2: Version A NO CALCULATORS. MATH 11012 Intuitive Calculus Spring 2011 Circle one: 8:50 5:30 Ms Kracht Name: Score: /100 110 pts available) EXAM 2: Version A NO CALCULATORS Multiple Choice: 10 questions at 3 points each Circle the

More information

Math 234 Spring 2013 Exam 1 Version 1 Solutions

Math 234 Spring 2013 Exam 1 Version 1 Solutions Math 234 Spring 203 Exam Version Solutions Monday, February, 203 () Find (a) lim(x 2 3x 4)/(x 2 6) x 4 (b) lim x 3 5x 2 + 4 x (c) lim x + (x2 3x + 2)/(4 3x 2 ) (a) Observe first that if we simply plug

More information

Math Analysis Midterm Review. Directions: This assignment is due at the beginning of class on Friday, January 9th

Math Analysis Midterm Review. Directions: This assignment is due at the beginning of class on Friday, January 9th Math Analysis Midterm Review Name Directions: This assignment is due at the beginning of class on Friday, January 9th This homework is intended to help you prepare for the midterm exam. The questions are

More information

B) 2x3-5x D) 2x3 + 5x

B) 2x3-5x D) 2x3 + 5x Pre Calculus Final Review 2010 (April) Name Divide f(x) by d(x), and write a summary statement in the form indicated. 1) f x = x - 4; d x = x + 7 (Write answer in polynomial form) 1) A) f x = x + 7 x2-7x

More information

Lecture : The Definite Integral & Fundamental Theorem of Calculus MTH 124. We begin with a theorem which is of fundamental importance.

Lecture : The Definite Integral & Fundamental Theorem of Calculus MTH 124. We begin with a theorem which is of fundamental importance. We begin with a theorem which is of fundamental importance. The Fundamental Theorem of Calculus (FTC) If F (t) is continuous for a t b, then b a F (t) dt = F (b) F (a). Moreover the antiderivative F is

More information

MATH 3200 Exam 3 Dr. Syring

MATH 3200 Exam 3 Dr. Syring . Suppose n eligible voters are polled (randomly sampled) from a population of size N. The poll asks voters whether they support or do not support increasing local taxes to fund public parks. Let M be

More information

Math 489/Math 889 Stochastic Processes and Advanced Mathematical Finance Dunbar, Fall 2007

Math 489/Math 889 Stochastic Processes and Advanced Mathematical Finance Dunbar, Fall 2007 Steven R. Dunbar Department of Mathematics 203 Avery Hall University of Nebraska-Lincoln Lincoln, NE 68588-0130 http://www.math.unl.edu Voice: 402-472-3731 Fax: 402-472-8466 Math 489/Math 889 Stochastic

More information

GOOD LUCK! 2. a b c d e 12. a b c d e. 3. a b c d e 13. a b c d e. 4. a b c d e 14. a b c d e. 5. a b c d e 15. a b c d e. 6. a b c d e 16.

GOOD LUCK! 2. a b c d e 12. a b c d e. 3. a b c d e 13. a b c d e. 4. a b c d e 14. a b c d e. 5. a b c d e 15. a b c d e. 6. a b c d e 16. MA109 College Algebra Fall 017 Exam 017-10-18 Name: Sec.: Do not remove this answer page you will turn in the entire exam. You have two hours to do this exam. No books or notes may be used. You may use

More information

MATLAB - DIFFERENTIAL

MATLAB - DIFFERENTIAL MATLAB - DIFFERENTIAL http://www.tutorialspoint.com/matlab/matlab_differential.htm Copyright tutorialspoint.com MATLAB provides the diff command for computing symbolic derivatives. In its simplest form,

More information

CHARACTERIZATION OF CLOSED CONVEX SUBSETS OF R n

CHARACTERIZATION OF CLOSED CONVEX SUBSETS OF R n CHARACTERIZATION OF CLOSED CONVEX SUBSETS OF R n Chebyshev Sets A subset S of a metric space X is said to be a Chebyshev set if, for every x 2 X; there is a unique point in S that is closest to x: Put

More information

Statistical Tables Compiled by Alan J. Terry

Statistical Tables Compiled by Alan J. Terry Statistical Tables Compiled by Alan J. Terry School of Science and Sport University of the West of Scotland Paisley, Scotland Contents Table 1: Cumulative binomial probabilities Page 1 Table 2: Cumulative

More information

November 2001 Course 1 Mathematical Foundations of Actuarial Science. Society of Actuaries/Casualty Actuarial Society

November 2001 Course 1 Mathematical Foundations of Actuarial Science. Society of Actuaries/Casualty Actuarial Society November 00 Course Mathematical Foundations of Actuarial Science Society of Actuaries/Casualty Actuarial Society . An urn contains 0 balls: 4 red and 6 blue. A second urn contains 6 red balls and an unknown

More information

4.1 Exponential Functions. For Formula 1, the value of n is based on the frequency of compounding. Common frequencies include:

4.1 Exponential Functions. For Formula 1, the value of n is based on the frequency of compounding. Common frequencies include: 4.1 Exponential Functions Hartfield MATH 2040 Unit 4 Page 1 Recall from algebra the formulas for Compound Interest: Formula 1 For Discretely Compounded Interest A t P 1 r n nt Formula 2 Continuously Compounded

More information

Question 3: How do you find the relative extrema of a function?

Question 3: How do you find the relative extrema of a function? Question 3: How do you find the relative extrema of a function? The strategy for tracking the sign of the derivative is useful for more than determining where a function is increasing or decreasing. It

More information

Figure 11. difference in the y-values difference in the x-values

Figure 11. difference in the y-values difference in the x-values 1. Numerical differentiation Tis Section deals wit ways of numerically approximating derivatives of functions. One reason for dealing wit tis now is tat we will use it briefly in te next Section. But as

More information

The von Mises Graphical Model: Expectation Propagation for Inference

The von Mises Graphical Model: Expectation Propagation for Inference The von Mises Graphical Model: Expectation Propagation for Inference Narges Razavian, Hetunandan Kamisetty, Christopher James Langmead September 2011 CMU-CS-11-130 CMU-CB-11-102 School of Computer Science

More information

Last Time. Martingale inequalities Martingale convergence theorem Uniformly integrable martingales. Today s lecture: Sections 4.4.1, 5.

Last Time. Martingale inequalities Martingale convergence theorem Uniformly integrable martingales. Today s lecture: Sections 4.4.1, 5. MATH136/STAT219 Lecture 21, November 12, 2008 p. 1/11 Last Time Martingale inequalities Martingale convergence theorem Uniformly integrable martingales Today s lecture: Sections 4.4.1, 5.3 MATH136/STAT219

More information

Integrating rational functions (Sect. 8.4)

Integrating rational functions (Sect. 8.4) Integrating rational functions (Sect. 8.4) Integrating rational functions, p m(x) q n (x). Polynomial division: p m(x) The method of partial fractions. p (x) (x r )(x r 2 ) p (n )(x). (Repeated roots).

More information

BROWNIAN MOTION II. D.Majumdar

BROWNIAN MOTION II. D.Majumdar BROWNIAN MOTION II D.Majumdar DEFINITION Let (Ω, F, P) be a probability space. For each ω Ω, suppose there is a continuous function W(t) of t 0 that satisfies W(0) = 0 and that depends on ω. Then W(t),

More information

COMP ENG 3SK3 Winter Assignment #2 (Solutions)

COMP ENG 3SK3 Winter Assignment #2 (Solutions) COMP ENG 3SK3 Winter 2011 Assignment #2 (Solutions) Problem 4.1 True value: cos(pi/3) = 0.5 Maclaurin series approximation: Stopping criterion, es = 0.5% Terms Result ea (%) 1 1.000000 100.000000 2 0.451689

More information

P(z) =.0.2X2 + 22x - 400

P(z) =.0.2X2 + 22x - 400 Survey ofcalcu1us I (Math 121 Exam 3 November 13, 2002 Part I. Multiple Choice. (2 points each) P(z) =.0.2X2 + 22x - 400 1. Find the marginal profit at a production level of 50 clocks. numerical answer,

More information

Math 115 Practice for Exam 3

Math 115 Practice for Exam 3 Math 5 Practice for Exam 3 Generated November 6, 207 Name: SOLUTIONS Instructor: Section Number:. This exam has 4 questions. Note that the problems are not of equal difficulty, so you may want to skip

More information

Math 361. Day 8 Binomial Random Variables pages 27 and 28 Inv Do you have ESP? Inv. 1.3 Tim or Bob?

Math 361. Day 8 Binomial Random Variables pages 27 and 28 Inv Do you have ESP? Inv. 1.3 Tim or Bob? Math 361 Day 8 Binomial Random Variables pages 27 and 28 Inv. 1.2 - Do you have ESP? Inv. 1.3 Tim or Bob? Inv. 1.1: Friend or Foe Review Is a particular study result consistent with the null model? Learning

More information

SUBSTITUTION III.. [f(x)] n f (x)

SUBSTITUTION III.. [f(x)] n f (x) Integration SUBSTITUTION III.. [f(x)] n f (x) Graham S McDonald and Silvia C Dalla A self-contained Tutorial Module for practising the integration of expressions of the form [f(x)] n f (x), where n Table

More information

Tutorial 11: Limit Theorems. Baoxiang Wang & Yihan Zhang bxwang, April 10, 2017

Tutorial 11: Limit Theorems. Baoxiang Wang & Yihan Zhang bxwang, April 10, 2017 Tutorial 11: Limit Theorems Baoxiang Wang & Yihan Zhang bxwang, yhzhang@cse.cuhk.edu.hk April 10, 2017 1 Outline The Central Limit Theorem (CLT) Normal Approximation Based on CLT De Moivre-Laplace Approximation

More information

TEST 1 SOLUTIONS MATH 1002

TEST 1 SOLUTIONS MATH 1002 October 17, 2014 1 TEST 1 SOLUTIONS MATH 1002 1. Indicate whether each it below exists or does not exist. If the it exists then write what it is. No proofs are required. For example, 1 n exists and is

More information

Chapter 8 To Infinity and Beyond: LIMITS

Chapter 8 To Infinity and Beyond: LIMITS ANSWERS Mathematics 4 (Mathematical Analysis) page 1 Chapter 8 To Infinity and Beyond: LIMITS LM-. LM-3. f) If the procedures are followed accurately, all the last acute angles should be very close to

More information

Page Points Score Total: 100

Page Points Score Total: 100 Math 1130 Spring 2019 Sample Midterm 3a 4/11/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 9 pages (including this cover page) and 9 problems. Check to see if any

More information

Math 122 Calculus for Business Admin. and Social Sciences

Math 122 Calculus for Business Admin. and Social Sciences Math 122 Calculus for Business Admin. and Social Sciences Instructor: Ann Clifton Name: Exam #1 A July 3, 2018 Do not turn this page until told to do so. You will have a total of 1 hour 40 minutes to complete

More information

King s College London

King s College London King s College London University Of London This paper is part of an examination of the College counting towards the award of a degree. Examinations are governed by the College Regulations under the authority

More information

Page Points Score Total: 100

Page Points Score Total: 100 Math 1130 Autumn 2018 Sample Midterm 2c 2/28/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 8 pages (including this cover page) and 6 problems. Check to see if any

More information

Math 360 Theory of Mathematical Interest Fall 2016

Math 360 Theory of Mathematical Interest Fall 2016 Math 360 Fall 2016 Instructor: K. Dyke Math 360 Theory of Mathematical Interest Fall 2016 Instructor: Kevin Dyke, FCAS, MAAA 1 Math 360 Fall 2016 Instructor: K. Dyke LECTURE 1 AUG 31, 2016 2 Time Value

More information

Dr. Maddah ENMG 625 Financial Eng g II 10/16/06

Dr. Maddah ENMG 625 Financial Eng g II 10/16/06 Dr. Maddah ENMG 65 Financial Eng g II 10/16/06 Chapter 11 Models of Asset Dynamics () Random Walk A random process, z, is an additive process defined over times t 0, t 1,, t k, t k+1,, such that z( t )

More information

Introduction Taylor s Theorem Einstein s Theory Bachelier s Probability Law Brownian Motion Itô s Calculus. Itô s Calculus.

Introduction Taylor s Theorem Einstein s Theory Bachelier s Probability Law Brownian Motion Itô s Calculus. Itô s Calculus. Itô s Calculus Christopher Ting Christopher Ting http://www.mysmu.edu/faculty/christophert/ : christopherting@smu.edu.sg : 6828 0364 : LKCSB 5036 October 21, 2016 Christopher Ting QF 101 Week 10 October

More information

Central Limit Theorem (cont d) 7/28/2006

Central Limit Theorem (cont d) 7/28/2006 Central Limit Theorem (cont d) 7/28/2006 Central Limit Theorem for Binomial Distributions Theorem. For the binomial distribution b(n, p, j) we have lim npq b(n, p, np + x npq ) = φ(x), n where φ(x) is

More information