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Course: STAT 102, Spring 2012
School: UPenn
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1, Homework STAT102, Spring 2012 Due: Hand in by 5pm, Fri., Jan 27. Use boxes in JMHH 400 = Stat Dept Read: Chapter 2: Sections 2.1 through 2.7 should be review. Sections 2.8 &amp; 2.9 may be new Written HW: Problems (on page 31+ in your textbook): 2.25 (ie, Chapter 2, Problem 25), 2.30, 2.28, 2.32, 2.35, 2.40, 2.44 (Comment on whether a case-control matched-pair or desgn would be more appropriate. Would such...

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1, Homework STAT102, Spring 2012 Due: Hand in by 5pm, Fri., Jan 27. Use boxes in JMHH 400 = Stat Dept Read: Chapter 2: Sections 2.1 through 2.7 should be review. Sections 2.8 & 2.9 may be new Written HW: Problems (on page 31+ in your textbook): 2.25 (ie, Chapter 2, Problem 25), 2.30, 2.28, 2.32, 2.35, 2.40, 2.44 (Comment on whether a case-control matched-pair or desgn would be more appropriate. Would such a study design require collection of different data? If so, explain.), 2.52, 2.56, 2.58. [For the problems based on a data file you should use JMP. You may find the data available on the class website to be in a more convenient format than that supplied with your book.]
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UPenn - STAT - 102
Statistics 102 Fall 2011Homework 1 Solutions (10 Questions Total 1 Point Each)Problem 2.25:With JMP, we can compute that the sample mean =28.15 and the standard deviation is s=6.53, and thusthe 95% CI of the mean miles per gallon isProblem 2.30:H0:
UPenn - STAT - 102
Homework 3, STAT 102 - 2012Due: 5:00 pm, Fri, Feb 24thProject Due Date will be extended to Mon, Feb 27(Reminder: Midterm is 6pm, Wed. Feb 29th. Study materials (= practice exams)for the Midterm will be distributed by the weekend of the 24th -26th.)1.
UPenn - STAT - 102
STAT 102Homework 4Due Date: Wednesday,2012March 28 before 5:00pm in 400 JMHH.1. Problem 4.8 (p. 169) from the textbook. But ignore part f of the question. [Also, donot use the output from the text book. You should produce JMP output and use that in
UPenn - STAT - 102
1. Problem 4.8 (pg 169)Summary of Fit0.088012RSquareRSquare AdjRoot Mean Square ErrorMean of ResponseObservations (or SumWgts)0.074194798.26012821.296135Analysis ofVarianceSourceModelErrorC. TotalParameterEstimatesTermInterceptEXCHR
UPenn - STAT - 102
Stat 102 Spring 2012Homework #2 Solutions3.4a)Based on the original information, we have: xi = 5 + 6 + 7 + 8 + 9 + 10 + 11 = 562i x = 25 + 36 + 49 + 64 + 81 + 100 + 121 = 476 y = 12 + 11.5 + 14 + 15 + 15.4 + 15.3 + 17.5 = 100.7 x y = 60 + 69 + 9
UPenn - STAT - 102
Statistics 102, Spring 2012Larry Brown (Section 1), Nancy Zhang (Sections 2 and 3)Administrative IssuesCanvas: This can be accessed via http:/webcafe.wharton.upenn.edu or viahttp:/spike.wharton.upenn.eduTEXT: Dielman, T. Applied Regression Analysis F
UPenn - STAT - 102
Statistics 102Lecture 2-3L. Brown &amp; N. ZhangTests and Confidence Intervals for Two MeansRead: Sections 2.7 and 2.8 of DielmanDo advertisements help to increase store sales?Data from two independent samples Analysis assuming equal variances Analysi
UPenn - STAT - 102
Lecture 4Stat102 - Spring 2012 Chapter 3.1 3.2: Introduction to regression analysis Linear regression as a descriptive technique The least-squares equations Chapter 3.3 Sampling distribution of b0, b1. Continued in next lecture1Regression Analys
UPenn - STAT - 102
Lecture 16 One Way ANOVAStat 102 2012 One Way Analysis of Variance (ANOVA) Read Ch 9.1 Comparison of means among I groups Individual t tests vs. multiple comparison:Two methods:Bonferroni and Tukey-Kramer1One-way Analysis of Variance One-way ANO
UPenn - STAT - 102
Lecture 5Stat 102 Spring, 2012Inference in Simple Regressions Read Chapter 3.3 Tests and CIs for !1 , !0 . Example: 2003 house prices in ZIP 300621Regression Model (review)Y = !0 + !1x + eY x = !0 + !1x ,a straight linethe model for the mean of
UPenn - STAT - 102
Lectures 8-9: Model Assumptions: Assessment and Repair This material is mostly in Chapters 5 &amp; 6 of Dielman- Some of these chapters involve multiple regression ideas,but most of it only uses simple regression. Class Notes may be the most useful source
UPenn - STAT - 102
Lecture 10: Multiple Regressions (Introduction) The Multiple Regression Model. Read Chap. 4.1- Model description- Estimation of the coefficients- Interpretation of the coefficients in the multiple modelvs. the simple regression model Inferences abou
UPenn - STAT - 102
Lecture 11: Multiple Regression IIStat 1022012 R2 as a Measure of Model Fit. Read Chapter 4.3 Sums of Squares and Effect Tests. Read Chapter 4.4Sums of Squares SST, SSE and SSRANOVA TableR2F-statistic and the F-test for ALL coefficients togetherE
UPenn - STAT - 102
Lecture 13: Model Building in multiple regressionStat 1022012 We will illustrate the practice of model building and discuss thetheory through examination of a model building exercise. Data set pollution.JMP provides information about therelationship
UPenn - STAT - 102
Lecture 13: Polynomial RegressionStat 102 Textbook reading Chapter 5.2.1 Description Using JMP Relation to Multiple Regression; tests of coefficients Choosing the order of the polynomial CIs (for the mean of Y and for prediction of an additional ob
UPenn - STAT - 102
Lecture 15 Part 2, Leverage and InfluenceSTAT 102 Outliers, Leverage and influence in simplelinear regression (Review) Outliers and influential observations inmultiple linear regression; Leverage plots Notes re the text: This topic is covered in Sec
UPenn - STAT - 102
Lecture 17: Two Way ANOVAStat 102 2012 General Description (Read Chapter 9.2 &amp; 9.3) Additive Model ( Randomized Block Design, Chapter 9.2) Model with interactions (Chapter 9.3) Example; Agent service times General Description (cont.) Theory for the
UPenn - STAT - 102
Lecture 18: Multiple Regression with ANOVAStat 102 2012ANOVA and Multiple regressioncan be combined in a single analysis Cover (or review) material from Lectures 16-17 on ANOVA. Then talk about combining Multiple regression and ANOVA, usingthe Meddi
UPenn - STAT - 102
Lecture 12: Multiple Regression IIIStat 1022012 Full and Reduced Model Comparisons Chapter 4.4Testing a group of variables Prediction in multiple regressions Chapter 4.5Confidence intervals For the conditional mean, Y x1 ,., xK .Called Mean Confid
UPenn - STAT - 102
Lecture 6Stat1022012 Assessing the importance of having asloped regression line (Chapter 3.4) R squared ANOVA table F-testNOTE: Your book titles this section: Assessing the fit of the regressionline. But its not really about how well the regressi
UPenn - STAT - 102
Lecture 7Stat1022012 Estimating the conditional mean of y givenx (Section 3.5.1), and CIs Predicting an individual value of y given x(Section 3.5.2), and CIs Some cautions in interpreting regressionresults (Section 3.7)1Example; Car Prices A us
UPenn - STAT - 102
STAT102 Midterm SolutionSpring121.a. Hypothesis:H0 : C P , Ha : C &lt; PTest statistic:t=5 0.27154.17( 10 +111 )= 1.64, s2 =p(10 1)8.72 + (11 1)5.92= 54.1710 + 11 2P-value: (form calculator)P (t19 &gt; 1.64) = 0.0587Critical value:t0.05,19 =
UPenn - STAT - 102
Midterm Exam #1, 2008, Stat 102 SolutionsSections: 001 = M&amp;W@1:30; 002 = T&amp;Th@10:30; 003 = T&amp;Th@1:30Instructions: This is a semi-closed book exam. Up to two pages of notes are allowed. (Thesetwo pages may be two-sided if you wish.)When performing hypo
UPenn - STAT - 102
Midterm Exam #1, Stat 102Sections: 001 = M&amp;W@1:30; 002 = T&amp;Th@10:30; 003 = T&amp;Th@1:30Instructions: This is a semi-closed book exam. Up to ONE page of notes are allowed.(The one page note may be two-sided if you wish.)When performing hypothesis tests, c
UPenn - STAT - 102
Practice Midterm Exam for Stat 102Instructions: The exam itself will be a semi-closed book exam. One page of notes (orone page - two-sided) will be allowed. When performing hypothesis tests, clearly statethe null and alternative hypotheses and show the
UPenn - STAT - 102
MidtermI_PracticeExamI Solutions1. The appropriate hypotheses areH 0 : IMP REGH a : IMP REG(1st Assuming equal variances):The test statistic will come from a t-distribution with 123 degrees of freedom.Approximating this distribution using a t120 dis
UPenn - STAT - 102
Stat 102 Project 1Spring 2012Due before 5:00 on Friday, Feb 24th , in 400 JMHHYou may work individually or collaboratively in groups of up to 3 students per group.The group may consist of students from any of the three sections of stat102 classes. Eac
UPenn - STAT - 102
Stat 102 Project 2Spring 2012Due before 5:00pm on Wednesday, April 11, in 400 JMHHYou may work individually or collaboratively in groups of up to 3 students per group.The group may consist of students from any of the three sections of stat102. Each co
UPenn - STAT - 102
Solutions for Homework 3, STAT 102,Spring 20120. Problem 6 on Page 90. (We already did this problem for HW, so you dont need todo it again. It has the same data set as problem 14, below, so you may want to lookat it again.)1. Problem 12 on Page 111.
UPenn - STAT - 102
Stat 102 Practice Quiz1. The 95% confidence interval for the population meani. is a random interval symmetric around the samplemean.ii. Is a random interval symmetric around thepopulation meaniii. has width proportional to the sample standarddeviat
UPenn - STAT - 102
Stat 102 Practice Quiz1. The 95% confidence interval for the population meani. is a random interval symmetric around the samplemean.ii. Is a random interval symmetric around thepopulation meaniii. has width proportional to the sample standarddeviat
UPenn - STAT - 102
Statistics 102 Quiz 2 Section 1Your Answers: 1. d2. c3. b4. b1. The following JMP output is for the Cars data from Lecture12. The response is the gas mileage (MPG) achieved by eachmodel on highways (note that in lecture, we used a differentrespons
UPenn - SAST - 005
Hawley, Krishna and gender notesexploring idea of love as affliction, male and female roles166poets / musicians are maleproject themelves as femalefor themes of longingdifferent models for lover-beloved relationship(in Islamic lit. voice is male, b
UPenn - SAST - 005
Notes on Mariott, Holidonationsbonfire celebration of Holikas demisecaste connnection&quot;stay indoors&quot;its &quot;Krishna's lila&quot;a. impressed with multi-caste participation in bonfireawoke to fusillades of sand and bricksmud, cow-dung waterauthor considers
UPenn - SAST - 005
Notes on Song in South India 1bhajanharmoniumCleveland Tyagaraja festivalsong - the basis of Indian musiclisten to a typical group bhajan-kinds of instruments-changes of tempo-melody higher and lowercall and response structure builds energy throu
UPenn - SAST - 005
Performing Arts in South AsiaQuiz 1 - Killing of KirmiraNAME_The plot begins with the killing of the demon Sardula by the Pandava brotherArjuna. In our part of the story,1. Simhika, enters and performs a &quot;curtain look&quot;. Simhika isa) the wife of the
UPenn - SAST - 005
Performing Arts in South AsiaQuiz 2 - Allen, Rewriting the ScriptNAME_1. According to the author, revival or re-vivification is a &quot;drastically reductive&quot;term for what took place in South Indian dance. Give three other terms beginningwith &quot;re-&quot; sugges
UPenn - SAST - 005
Name _SAST 005 / MUSC 165 S12Quiz 31. This article focuses on the transformations of devotional poetry in South India. thesubjects are the genres below. Place them in their chronological order (1)_2_Telugu-language padam poetry by Annamaya_3_Telugu-
UPenn - SAST - 005
Name _SAST 005 / MUSC 165 S12Quiz 4 Hawley, longing and gender1. Poetry about a human's relationship to the divine in South Asia is alwaysexpressed in the woman's voice.T/F2. There are many female sant-poets in the bhakti traditionT/F3. Surdas was
UPenn - SAST - 005
Name _SAST005 / MUSC165 S12Quiz 5 - Song in South India1. This reading deals with the song genres bhajan and kriti. In the spectrum ofcontexts from devotional to virtuosic, show where the two genres liedevotional - virtuosic-bhajan-kriti-2. A Karna
UPenn - SAST - 005
Vocabulary of a Hindustani instrumental performanceRaga- a scale, with specific ways of using the notes, like a flexible melody- a raga is often performed in several sections, composed and improvised(below)- each raga has a name and is associated wit
UPenn - MATH - 114
Math 114, FINAL EXAMDecember 21, 2009INSTRUCTIONSOFFICIAL USE ONLYINSTRUCTIONS: 1. Please complete the information requested below. There are 9 multiple choice problems and 4 open answer problems. No partial credit will be given on the multiple choice
UPenn - MATH - 114
University of PennsylvaniaDepartment of MathematicsMath 114 Final Exam Fall 2010Haglund, Gupta, Powers, and Rimmer1. Find the components of the vector from the point A to the midpoint of line segment BC .111 111A. 1, ,B. 1, ,C.D. 1, 0,1,1,22
UPenn - MATH - 114
Final Exam - Math 114 - Fall 2011Each problem is worth 10 points. Circle your answers. In order to get full credit, youmust both show your work and get the right answer.Name: (please print)Circle the name of your lecturer: Cooper Haglund Pantev Powers
UPenn - MATH - 114
MATH 114, FINAL EXAM MAY 7th 2009, 12-2PM Name: klasdjSolutionsadfsdfgdsfgsdfgkjjhsdaf Penn ID number: klasdjjhsdfsdafSignature: klasdjSolutionsadfsdfgdsfgsdfgkjjhsdaf Circle the name of your instructor:Ballard Instructions:KriegerPowersZywina1. The
UPenn - MATH - 114
Math 114-Final Exam-University of PennsylvaniaTuesday, May 4, 2010 @ 12:00 - 2:00 PM Name: Your professor (circle one): Dr. PowersYan Wang Your TA(circle one) :Dr. HeDr. WylieDr. StrainSohrab ShahshahaniZhe LiuEugene SoRyan EberhartYin Xi
UPenn - MATH - 114
1. Let P be a point on the plane 3x + y 2z = 2 and let Q be a point on the plane3x + y 2z = 5. Let v be the vector that points from P to Q. Which of the followingcannot be true?(A) |v| = 10(B) |v| = 100(C) v (3i + j 2k) = 0(D) |v (3i + j 2k)| = 0(E
UPenn - MATH - 114
Math 114 Spring 2011 Final Exam1. The set of points equidistant from the points (2, 1, 1) and (4, 3, 5) is a plane.What is the equation of this plane?(A) 3x + y 2z = 0(B) 2x + 4y 6z = 6(C) x + 2y 3z = 11(D) 2x + 14y + 10z = 15(E) 6x + 2y 4z = 5(F)
UPenn - MATH - 114
UPenn - BPUB - 250
PPE 203/PSYC 265BOUNDED WILLPOWER PRACTICE PROBLEMS1) Matching: Next to each item below, place one letter of the concept that best matches and/or explainsit. Letters could be used more than once or not at all.A. Present BiasD. Temptation GoodsB. Nav
UPenn - BPUB - 250
BPUB 250Managerial EconomicsAlbert SaizSpring 2007Due at the start of class Wed, Jan. 24th1.a. Briefly explain the difference between positive and normative economic analysis.b. Briefly describe the difference between economic theory and empirical
UPenn - BPUB - 250
BPUB 250 Problem Set 2 (Due on Tuesday Feb 5)Spring 2008Problem sets should be individual work. You must learn to solve the problems given inthe course on your own. If you need guidance, use office hours. The problem set will becollected at the beginn
UPenn - BPUB - 250
Problem 1Students at the Wharton School love burritos. The market for burritos is perfectly competitive dueto many substitute fast foods available on campus. Daily market demand is given by QD as follows:QD = 1000 100PThe daily market supply curve of
UPenn - BPUB - 250
Managerial Economics BPUB250Spring 2010Problem Set 1Due Wednesday/Thursday, January 28-29 in Class (or Friday, January 30 in Recitation).Question 1The market for used college books is very competitive. Students search for used collegebooks online an
UPenn - BPUB - 250