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### quiz5

Course: IE 230, Spring 2011
School: Purdue
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5. Quiz February 23, 2011 Seat # _________ 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 being defective or non-defective are independent. For each question, write two answers. The rst is the family of distributions...

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5. Quiz February 23, 2011 Seat # _________ 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 being defective or non-defective are independent. For each question, write two answers. The rst is the family of distributions of the random variable; the second is the answer to the question. 1. (2 pt) Of 100 units, the expected number of "defectives". family: _________________________ 2. (2 pt) The expected number of units until fourth the "defective" unit. family: _________________________ 3. (2 pt) Standard deviation of the number of units until the fourth "non-defective". family: _________________________ 4. (2 pt) The probability that the rst "defective" is the second unit. family: _________________________ 5. (2 pt) The probability that exactly one of the rst ten units is "defective". family: _________________________ ______________________________________________________________________ Write on the back any concerns about the weekly quizzes or the course in general. IE 230 Page 1 of 1 Schmeiser
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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
Purdue - IE - 230
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
Purdue - IE - 230
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
Purdue - IE - 230
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
Purdue - IE - 230
Quiz 7. October 27, 2010Seat # _Name: _Closed book and notes. No calculator. For Questions 13, recall the following three statements. A binomial distribution concerns the number of successes in n Bernoulli trials, when p is the probability of success.
Purdue - IE - 230
Quiz 7. October 27, 2010Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculator. For Questions 13, recall the following three statements. A binomial distribution concerns the number of successes in n Bernoulli trials, when p is the probability of
Purdue - IE - 230
Quiz 8. November 3, 2010Seat # _Name: _Closed book and notes. No calculator. Recall: In a multinomial experiment, let Xi denote the number of trials that result in outcome i for i = 1, 2,., k . (Then X 1 + X 2 + . . . + Xk = n .) The random vector (X 1
Purdue - IE - 230
Quiz 8. November 3, 2010Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculator. Recall: In a multinomial experiment, let Xi denote the number of trials that result in outcome i for i = 1, 2,., k . (Then X 1 + X 2 + . . . + Xk = n .) The random v
Purdue - IE - 230
Quiz 9. November 12, 2010Seat # _Name: _Closed book and notes. No calculator. Recall: Cov(X , Y ) = E[ (X X ) (Y Y ) ] Recall: X ,Y = Corr(X , Y ) = Cov(X , Y ) / (X Y ) 1. (2 pt) T 2. (2 pt) T F F|X ,Y | 1.Var(X ) = Cov(X , X ).For Questions 3 and
Purdue - IE - 230
Quiz 9. November 12, 2010Seat # _Name: _ &lt; KEY &gt; _Closed book and notes. No calculator. Recall: Cov(X , Y ) = E[ (X X ) (Y Y ) ] Recall: X ,Y = Corr(X , Y ) = Cov(X , Y ) / (X Y ) 1. (2 pt) T F 2. (2 pt) T F|X ,Y | 1.Var(X ) = Cov(X , X ).For Questi
Purdue - IE - 230
Quiz 10. November 17, 2010Seat # _Name: _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 Xi ] =i =
Purdue - IE - 230
IE 230Seat # _Name (neatness, 1 point) _ &lt; KEY &gt; _ Closed book and notes. 60 minutes. Cover page and four pages of exam. No calculators.This test covers event probability, Chapter 2 of Montgomery and Runger, fourth edition.Score _Exam #1, September 2
Purdue - IE - 230
IE 230Seat # _ Closed book and notes. 60 minutes. Cover page and four pages of exam. No calculators. No need to simplify answers. This test covers Section 4.6 through Chapter 6 of Montgomery and Runger, fourth edition.Name _ &lt; KEY &gt; _Remember: A statem
Purdue - MA - 170
CHAPTER 1Some Useful Formulas1. Variable Payments Assume that we receive a series of payments at the end of the year where each payment increases (or decreases) by a factor of k each year. Thus if the rst payment is P , then the subsequent payments woul
Purdue - MA - 170
Data Set 1 Cumulative Paid Losses Accident Year 2004 2005 2006 2007 2008 2009 Data Set 2 Accident Year 2004 2005 2006 2007 2008 2009 Data Set 3 Accident Year 2004 2005 2006 2007 2008 2009 Data Set 4 Accident Year 2004 2005 2006 2007 2008 2009 Data Set 5 A
Purdue - MA - 170
MA/STAT 170 Fall 2010 AssignmentsHomework is due at the beginning of class. Place the assignment on the table in the front of class as you come in. Sometime during the class I will put the papers into my binder. After this point I will not accept any mor
Purdue - MA - 170
Trend 101Purdue University MA/STAT 170presented by Andy HennDirectory &amp; Actuary IIISeptember 30, 2010Trend 101 Session OverviewWhat is Trend? Types of Healthcare Claims Trend Trend NormalizationCompany Confidential | For Internal Use Only | Do Not
Purdue - MA - 170
(2.10) House should be insured for O A d .8\$800000 A := 6.400000 10 Fraction insured 400000 O fd A5(1) (1)f := 0.6250000000 Let L=loss O Loss d solve 320000 = f\$L, L Loss := 5.12000 10 O (2.11) Let f be the fraction insured. O f d solve 7500 = x\$10000,
Purdue - MA - 170
Introduction to Casualty Actuarial ScienceKen Fikes, FCAS, MAAA Director of Property &amp; CasualtyEmail: ken@theinfiniteactuary.comKen Fikes, FCAS, MAAA1Casualty Actuarial ScienceTwo major areas are measuring 1. Written Premium RiskPricing2. Earned P
Purdue - MA - 170
NameAbad-Policicchio, Joseph Abdul Razak, Mohd Noordin Aboagye-Adjei, Kwadwo Ahmad, Syaza Amstutz, Kevin Avram, Mihai Bailey, Andrea Barker, Caleb Belwood, Mary Ben, Chi Book, Edward Brushenko, Robert Chen, Haowei Chen, Kaidan Chen, Lingxiao Copeland, Be
Purdue - MA - 170
Last Name Abad-Policicchio Abdul Razak Aboagye-Adjei Ahmad Amstutz Avram Bailey Barker Belwood Ben Book Brushenko Chen Chen Chen Copeland Cui Diesslin Dolney Eckerley Fong Gao Gargano Geolat Gerardi Graber Haupert He He He Hudak Jalaludin Janneck Joest Jo
Purdue - MA - 170
Last Name Abad-Policicchio Abdul Razak Aboagye-Adjei Ahmad Amstutz Avram Bailey Barker Belwood Ben Book Brushenko Chen Chen Chen Copeland Cui Diesslin Dolney Eckerley Fong Gao Gargano Geolat Gerardi Graber Haupert He He He Hudak Jalaludin Janneck Joest Jo
Purdue - MA - 170
Last Name Abad-Policicchio Abdul Razak Aboagye-Adjei Ahmad Amstutz Avram Bailey Barker Belwood Ben Book Brushenko Chen Chen Chen Copeland Cui Diesslin Dolney Eckerley Fong Gao Gargano Geolat Gerardi Graber Haupert He He He Hudak Jalaludin Janneck Joest Jo
Purdue - MA - 170
Math/Stat 170Lab Project 1August 31, 2006Introduction to ExcelPart 1: You will be given a function (mortality function) that defines the probability of death in any given year and from that you will create a mortality table in Excel. In this project,
Purdue - MA - 170
Last Name Abad-Policicchio Abdul Razak Aboagye-Adjei Ahmad Amstutz Avram Bailey Barker Belwood Ben Book Brushenko Chen Chen Chen Copeland Cui Diesslin Dolney Eckerley Fong Gao Gargano Geolat Gerardi Graber Haupert He He He Hudak Jalaludin Janneck Joest Jo
Purdue - MA - 170
Math/Stat 170Lab Project 2Purdue Life ProfitsPart 1: Purdue Life sells 100, 30 year term insurance policies, each with a death benefit of \$10,000 and each with an annual premium of \$100/year, payable on January 1. We will initially assume that every De
Purdue - MA - 170
Pricing an AnnuityCentral Indiana Life Insurance Companys customers can use a portion of the funds accumulated in their 401(k) retirement plan to buy an annuity that pays \$30,000 a year until death. Part 1: When Martin Dempster retired at age 61 on Janua
Purdue - MA - 170
Last Name Abad-Policicchio Abdul Razak Aboagye-Adjei Ahmad Amstutz Avram Bailey Barker Belwood Ben Book Brushenko Chen Chen Chen Copeland Cui Cunningham Diesslin Dolney Eckerley Fong Gao Gargano Geolat Gerardi Graber Haupert He He He Hennessey Hudak Jalal