descriptive statistics

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timer Asked: Sep 6th, 2017

Question Description

its statistics for engineers class 319 by using the attachments u will understand the homework

Engineering Computation and Statistics CE 319 Fall 2017 Dr. Muleski, F370D/350E TuTh 11:30 - 12:45 muleskig@umkc.edu The class has the objective of introducing statistical concepts and methods in a first undergraduate course. Topics include basic concepts of probability, use of descriptive statistics to summarize data sets, important discrete and continuous random variables, Central Limit Theorem, hypothesis testing, analysis of variance, regression, and factorial experiments. Recommended Textbook​:​ ​ ​Statistics for Engineers & Scientists​, William Navidi, 4th Edition, McGraw-Hill. ISBN 978-0-07-340133-1. Introduction 1 2 3 Recurring themes: sum of squares​, ​significance​, ​interaction​ and ​degrees of freedom Basics of linear algebra, Excel, Minitab, Descriptive Statistics Mean, st. dev., mode, median, Bessel’s correction, degrees of freedom 4 Navidi 1.1 - 1.3 Box plot, time series, multivariate data presentation, correlation 5 Navidi 2.1 - 2.3 Basic probability concepts, random variables, pdf's 6 Navidi 2.4, 4.1 - 4.2 Discrete RVs, binomial distribution 7 Navidi 4.2 - 4.3 Binomial and Poisson distributions Exam 1 8 Navidi 4.5 - 4.6 Continuous RVs, normal, lognormal, uniform 9 Navidi 4.10 - 4.11 Probability plots, sampling distributions, Central Limit Theorem 10 Inferential Statistics Introduction to statistical inference, estimation, hypothesis testing 11 Navidi 6.1,6.2,6.4-6.5, 6.7-6.8 Tests for population mean, ​t​-tests 12 Navidi 6.10-6.11 Test of population variance, chi-squared distribution 13 Navidi 6.10 Goodness of fit, contingency tables 14 Navidi 6.5,6.7,6.8 Tests of two population means, paired and unpaired samples 15 Navidi 6.11, 9.1 Tests of two population variances, ​F​ distribution, intro to ANOVA Exam 2 16 Empirical Models Introduction to empirical models, examples of generalized linear models 17 Navidi 7.1 - 7.4 Simple linear regression, inference in regression, transformed variable 18 Navidi 8.1 - 8.3 Multiple and stepwise regression 19 Navidi 9.1 - 9.2 Intro to DOE, one-way ANOVA, model of form 20 Navidi 9.3 - 9.4 Two-way ANOVA, blocking, model of form 21 Navidi 9.5 Interaction, 2​k ​factorial experiments, model of form ​Y​ijk​ = μ​ +​τi​ ​ + β​j​ + (τβ)​ij​ + 𝟄​ijk 22 Nonparametric statistical tests, Six-Sigma speaker (as time permits) . Other Topics ​Y​ij​ = μ​ +​τ​i​ + 𝟄​ij ​Y​ij ​ = μ​ +​τ​i​ + β​j​ + 𝝐​ij Final Exam: Tuesday, ​December 12, 2017​ 3:30 p.m. - 5:30 p.m. (Subject to change) Version 20170720 Companion Website and Data Files:​ We’ll use data available through ​this link​ ​to the recommended text. Grading:​ ​There will be 3 exams, one of which is the final. In addition, there will be homework, one program, and a team project over the semester. The grading scale and weights are shown below. Exam 1 Exam 2 Final Program Homework 20% 20% 25% 10% 10% <60 F >​60 D >65 D+ >67.5 C- >70 C >75 C+ >80 B- >85 B >88 B+ “Multidisciplinary” Team Project 15% >90 A- >93 A CME DEPARTMENT CALCULATOR AND ELECTRONIC DEVICE POLICY With the exception of following approved calculators • Casio fx-115 series • Texas Instruments TI30x and TI36x series • Hewlett Packard HP33s & HP35s all electronic devices​ are banned from in-class examinations. This includes, but is not limited to, • Cell phones • Computers • Cameras • Organizers or PDA’s • Headsets • Electronic dictionaries and translators Violation of this policy will result in a grade of zero on the exam and confiscation of the device. Student Conduct: Academic dishonesty includes cheating and plagiarism. ​Cheating​ includes, but is not limited to: (i) unauthorized assistance in taking quizzes, tests or examinations; (ii) dependence upon the aid of sources beyond those authorized by the instructor in solving problems or carrying out other assignments; (iii) acquisition or possession without permission of tests or other academic material belonging to a member of the faculty or staff; (iv) knowingly providing any unauthorized assistance to another student on quizzes, tests or examinations. ​Plagiarism​ includes, but is not limited to: (i) use by paraphrase or direct quotation of the published or unpublished work of another person without fully and properly crediting the author with references; (ii) unacknowledged use of materials prepared by another person or agency engaged in the selling of term papers or other academic materials; or (iii) unacknowledged use of original work/material that has been produced through collaboration with others without release in writing from collaborators. Course Expectations and Policies The following sections describe expectations and policies. Lecture Attendance​: Class attendance is highly recommended; students are expected to attend and participate in each class. After a fourth​ ​unexcused absence, a student may be administratively dropped from the course. Make-up exams will be considered on a case-by-case basis. Additional information is given in the “Attendance Policy” section of the Resources and Policy Statements below. Classroom Conduct​: Refer to the UMKC Code of Conduct statement (see link under the Resources and Policy statements below) regarding expected class conduct. Persons disrupting the learning environment will be asked to leave the classroom. Continuance of this disruptive behavior may result in disciplinary action. Withdrawal:​ The UMKC Academic Calendar (see link under the Resources and Policy statements below) presents two important dates related to withdrawal from this course. Withdrawals before the first date are made without academic assessment. Withdrawal after that date but before the second date require an academic assessment of ``W'' or ``WF.'' No withdrawals are possible after the second date. Homework:​ Students are encouraged to check the Blackboard site frequently for homework assignments, office hours and other information. Blackboard will be used to post homework assignments. Ethics:​ Students are encouraged to discuss topics presented in this course for the purpose of increasing understanding. However, except for the group projects, all work submitted for grading must be the sole product of each student. Cheating or plagiarism (see definitions in the link given in the Resources and Policy statements below) in any form will not be tolerated. Electronic Devices​: No electronic devices are allowed in the classroom other than the calculators approved for the Fundamentals of Engineering examination. All electronic devices, with the exception of approved calculators, are banned from examinations and quizzes. This includes, but is not limited to: a) cell phones; b) computers, laptops, netbooks, tablets, etc.; c) cameras ; d) organizers, PDA’s, etc.; e) headsets; f) electronic dictionaries, translators, etc.; g) Google Glass or comparable wearable computer. Violation of this policy will result in a grade of zero on the exam or quiz, and confiscation of the device. Students found using unapproved devices during a lecture period may be asked to leave and will be considered absent in accordance with the Lecture Attendance policy given above. See also policy on recording given in the next section. Resources and Policy Statements The resources available to you as a result of UMKC policies may be viewed under ​ U ​ MKC Policies​ ​ on the Blackboard site for this course. Version 20170720
HW#1​ ​Descriptive​ ​Statistics Version​ ​20170804 Refer​ ​to​ ​the​ ​file​ ​“​HW#1_Data_Files.xls​”​ ​ ​for​ ​the​ ​data​ ​sets​ ​mentioned​ ​below. 1.​_​Find​ ​the​ ​mean​ ​and​ ​standard​ ​deviation​ ​for​ ​data​ ​sets​ ​A,​ ​B​ ​and​ ​C. 2.​_​Using​ ​the​ ​“golf​ ​ball”​ ​data, a. Construct​ ​a​ ​“run​ ​plot”​ ​--​ ​do​ ​you​ ​believe​ ​there​ ​is​ ​any​ ​trend​ ​to​ ​the​ ​data b. Find​ ​the​ ​mean​ ​and​ ​standard​ ​deviation c. Find​ ​the​ ​median,​ ​quartile​ ​values​ ​and​ ​the​ ​mode(s,​ ​if​ ​any). d. Construct​ ​a​ ​box​ ​plot. e. Construct​ ​a​ ​histogram.​ ​Would​ ​you​ ​consider​ ​the​ ​data​ ​set​ ​skewed​ ​or​ ​not? 3.​_​Using​ ​the​ ​“AirTrvlPriceIndex”​ ​data,​ ​answer​ ​the​ ​following​ ​questions​ ​for​ ​the​ ​increase​ ​between 2010​ ​and​ ​2011: a. How​ ​many​ ​saw​ ​a​ ​decrease? b. What​ ​is​ ​the​ ​mean​ ​and​ ​standard​ ​deviation​ ​for​ ​the​ ​increase? c. Construct​ ​a​ ​box​ ​plot​ ​for​ ​the​ ​increase. d. Construct​ ​a​ ​histogram​ ​for​ ​the​ ​increase. e. Construct​ ​a​ ​scatter​ ​plot​ ​with​ ​2011​ ​and​ ​2010​ ​indices​ ​on​ ​the​ ​y-​ ​and​ ​x-axes,​ ​respectively. 4.​_​Using​ ​the​ ​“PM10”​ ​tab, a. Construct​ ​a​ ​single​ ​run​ ​chart​ ​showing​ ​both​ ​FrontSt​ ​and​ ​TroostAve​ ​concentrations. b. Repeat​ ​“a”​ ​using​ ​a​ ​log​ ​scale. c. Find​ ​the​ ​mean​ ​and​ ​standard​ ​deviation​ ​for​ ​both​ ​FrontSt​ ​and​ ​TroostAve. d. Make​ ​a​ ​scatter​ ​plot​ ​between​ ​the​ ​two​ ​sets​ ​of​ ​concentrations. e. Construct​ ​a​ ​box​ ​plot​ ​for​ ​each​ ​location. f. Construct​ ​a​ ​histogram​ ​for​ ​each​ ​location.​ ​Would​ ​you​ ​consider​ ​the​ ​data​ ​set​ ​skewed? ​ ​ ​ ​ ​ ​HINT:​ ​Don’t​ ​forget​ ​to​ ​take​ ​“NA”​ ​into​ ​account​ ​before​ ​plotting,​ ​etc. 5.​_​Using​ ​the​ ​“CO2,​ ​Temp”​ ​data, a. Construct​ ​run​ ​charts​ ​for​ ​both​ ​CO2​ ​and​ ​TempAnomaly. b. Make​ ​a​ ​scatter​ ​plot​ ​between​ ​CO2​ ​and​ ​TempAnomaly.
Set A Set B Set C 74.001 74.003 74.015 74.000 74.005 74.002 74.005 74.004 562 869 708 775 775 704 809 856 655 806 878 909 918 558 768 870 918 940 946 661 820 898 935 952 957 693 835 905 939 955 960 498 653 730 753 84 49 61 40 83 67 45 66 70 69 80 58 68 60 67 72 73 70 57 63 70 78 52 67 53 67 75 61 70 81 76 79 75 76 58 31 DayCode 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 Date 5/26/2016 5/27/2016 5/28/2016 5/29/2016 5/30/2016 5/31/2016 6/1/2016 6/2/2016 6/3/2016 6/4/2016 6/5/2016 6/6/2016 6/7/2016 6/8/2016 6/9/2016 6/10/2016 6/11/2016 6/12/2016 6/13/2016 6/14/2016 6/15/2016 6/16/2016 6/17/2016 6/18/2016 6/19/2016 6/20/2016 6/21/2016 6/22/2016 6/23/2016 6/24/2016 6/25/2016 6/26/2016 6/27/2016 6/28/2016 6/29/2016 6/30/2016 7/1/2016 7/2/2016 7/3/2016 7/4/2016 7/5/2016 7/6/2016 7/7/2016 7/8/2016 7/9/2016 7/10/2016 7/11/2016 7/12/2016 7/13/2016 7/14/2016 7/15/2016 7/16/2016 7/17/2016 7/18/2016 7/19/2016 7/20/2016 7/21/2016 7/22/2016 7/23/2016 7/24/2016 7/25/2016 Day of Week Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday PM10 Conc. (ug/m3) FrontSt TroostAve 15 14 10 11 12 11 18 13 18 15 24 18 25 25 33 31 32 25 14 15 14 14 30 27 22 22 43 27 62 34 46 34 39 34 36 26 23 17 30 19 32 21 35 29 42 72 32 27 29 21 38 29 35 32 80 48 33 30 34 27 29 19 20 18 21 20 21 25 26 25 27 23 16 18 9 8 8 11 29 35 34 28 26 19 21 20 19 18 22 22 23 21 56 49 28 27 25 24 28 24 32 31 19 17 43 39 44 42 46 35 37 29 44 26 42 37 31 26 24 23 18 22 Data taken from NA = not available https://www.epa.gov/outd 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 7/26/2016 7/27/2016 7/28/2016 7/29/2016 7/30/2016 7/31/2016 8/1/2016 8/2/2016 8/3/2016 8/4/2016 8/5/2016 8/6/2016 8/7/2016 8/8/2016 8/9/2016 8/10/2016 8/11/2016 8/12/2016 8/13/2016 8/14/2016 8/15/2016 8/16/2016 8/17/2016 8/18/2016 8/19/2016 8/20/2016 8/21/2016 8/22/2016 8/23/2016 8/24/2016 8/25/2016 8/26/2016 8/27/2016 8/28/2016 8/29/2016 8/30/2016 8/31/2016 9/1/2016 9/2/2016 9/3/2016 9/4/2016 9/5/2016 9/6/2016 9/7/2016 9/8/2016 9/9/2016 9/10/2016 9/11/2016 9/12/2016 9/13/2016 9/14/2016 9/15/2016 9/16/2016 9/17/2016 9/18/2016 9/19/2016 9/20/2016 9/21/2016 9/22/2016 9/23/2016 9/24/2016 9/25/2016 9/26/2016 Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday 24 35 32 23 22 15 14 30 25 46 17 14 10 16 30 39 43 17 14 18 27 39 37 34 27 12 16 27 46 17 11 12 17 21 27 16 10 20 15 20 27 30 32 39 18 15 13 21 30 31 11 23 14 17 28 29 36 40 48 52 31 8 21 30 39 32 26 24 12 15 40 29 32 22 16 10 20 27 28 28 14 15 19 32 25 24 22 18 12 12 17 27 18 10 17 16 18 26 18 23 28 18 16 19 24 21 27 13 13 11 11 18 24 13 20 11 14 14 19 29 27 32 34 21 8 13 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 9/27/2016 9/28/2016 9/29/2016 9/30/2016 10/1/2016 10/2/2016 10/3/2016 10/4/2016 10/5/2016 10/6/2016 10/7/2016 10/8/2016 10/9/2016 10/10/2016 10/11/2016 10/12/2016 10/13/2016 10/14/2016 10/15/2016 10/16/2016 10/17/2016 10/18/2016 10/19/2016 10/20/2016 10/21/2016 10/22/2016 10/23/2016 10/24/2016 10/25/2016 10/26/2016 10/27/2016 10/28/2016 10/29/2016 10/30/2016 10/31/2016 11/1/2016 11/2/2016 11/3/2016 11/4/2016 11/5/2016 11/6/2016 11/7/2016 11/8/2016 11/9/2016 11/10/2016 11/11/2016 11/12/2016 11/13/2016 11/14/2016 11/15/2016 11/16/2016 11/17/2016 11/18/2016 11/19/2016 11/20/2016 11/21/2016 11/22/2016 11/23/2016 11/24/2016 11/25/2016 11/26/2016 11/27/2016 11/28/2016 Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday 31 24 21 32 22 23 39 56 20 14 13 25 20 26 33 15 15 16 20 20 40 29 32 25 40 30 30 44 39 31 38 32 24 17 36 44 26 27 47 29 27 35 30 45 61 26 35 28 41 77 66 89 38 16 27 29 25 11 12 15 18 15 17 25 17 20 27 22 25 28 33 15 8 11 17 14 18 22 13 19 11 18 17 22 28 31 22 27 21 26 40 29 25 27 19 19 15 21 25 21 19 32 14 16 29 26 28 20 22 16 33 27 46 36 32 22 14 21 26 16 10 10 12 12 13 12 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 11/29/2016 11/30/2016 12/1/2016 12/2/2016 12/3/2016 12/4/2016 12/5/2016 12/6/2016 12/7/2016 12/8/2016 12/9/2016 12/10/2016 12/11/2016 12/12/2016 12/13/2016 12/14/2016 12/15/2016 12/16/2016 12/17/2016 12/18/2016 12/19/2016 12/20/2016 12/21/2016 12/22/2016 12/23/2016 12/24/2016 12/25/2016 12/26/2016 12/27/2016 12/28/2016 12/29/2016 12/30/2016 12/31/2016 1/1/2017 1/2/2017 1/3/2017 1/4/2017 1/5/2017 1/6/2017 1/7/2017 1/8/2017 1/9/2017 1/10/2017 1/11/2017 1/12/2017 1/13/2017 1/14/2017 1/15/2017 1/16/2017 1/17/2017 1/18/2017 1/19/2017 1/20/2017 1/21/2017 1/22/2017 1/23/2017 1/24/2017 1/25/2017 1/26/2017 1/27/2017 1/28/2017 1/29/2017 1/30/2017 Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday 27 15 37 84 25 9 21 26 16 17 21 18 14 20 27 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 47 23 56 16 16 14 14 16 6 22 25 23 28 25 18 23 17 16 6 7 12 19 13 13 16 9 23 NA NA 33 23 9 8 48 13 11 18 37 18 5 7 13 14 11 11 10 13 13 13 20 14 11 8 11 14 35 32 29 13 16 7 8 13 15 13 15 13 14 14 9 9 13 27 22 15 18 18 16 12 14 15 6 6 11 9 8 12 13 10 19 12 11 11 12 8 9 15 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 7 1 2 3 4 5 6 1/31/2017 2/1/2017 2/2/2017 2/3/2017 2/4/2017 2/5/2017 2/6/2017 2/7/2017 2/8/2017 2/9/2017 2/10/2017 2/11/2017 2/12/2017 2/13/2017 2/14/2017 2/15/2017 2/16/2017 2/17/2017 2/18/2017 2/19/2017 2/20/2017 2/21/2017 2/22/2017 2/23/2017 2/24/2017 2/25/2017 2/26/2017 2/27/2017 2/28/2017 3/1/2017 3/2/2017 3/3/2017 3/4/2017 3/5/2017 3/6/2017 3/7/2017 3/8/2017 3/9/2017 3/10/2017 3/11/2017 3/12/2017 3/13/2017 3/14/2017 3/15/2017 3/16/2017 3/17/2017 3/18/2017 3/19/2017 3/20/2017 3/21/2017 3/22/2017 3/23/2017 3/24/2017 3/25/2017 3/26/2017 3/27/2017 3/28/2017 3/29/2017 3/30/2017 3/31/2017 Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday 35 30 33 39 51 26 36 21 34 27 72 37 32 117 44 75 66 38 38 30 21 67 133 24 19 13 20 28 44 24 46 31 45 20 92 33 67 66 14 16 18 15 12 17 35 28 13 35 46 35 23 47 33 9 11 10 11 10 11 19 16 10 10 12 21 17 21 15 11 10 33 35 11 26 17 15 21 19 24 20 14 19 31 20 10 11 17 22 28 20 22 16 32 15 45 31 34 56 15 17 15 14 12 11 21 31 14 31 45 33 20 29 23 8 7 8 10 9 8 9 https://www.epa.gov/outdoor-air-quality-data Distance 292 270 271 278 279 268 284 271 262 283 274 267 274 278 267 272 282 272 259 270 290 284 285 273 284 270 282 290 293 265 276 270 276 272 271 279 274 271 267 278 272 278 272 281 269 277 265 257 255 276 269 288 261 266 277 281 281 275 270 272 282 268 274 260 266 271 273 286 282 270 282 293 279 273 266 268 274 274 270 271 276 273 281 281 272 255 282 269 280 284 286 284 293 263 280 276 274 263 270 268 Table 13: Air Travel Price Index - Top 85 Markets Ranked by Originating Passengers in 2010 First Quarter 2010 to First Quarter 2011, First Quarter 1995 = 100 Rank Origin 1stQtr2010 1stQtr2011 1 New York, NY/Newark, NJ 123.5 133.4 2 Greater Los Angeles Area, CA 130.0 142.0 3 Chicago, IL 121.7 131.7 4 Dallas/Ft. Worth, TX 122.1 130.8 5 Denver, CO 101.6 107.5 6 Boston, MA 109.6 118.9 7 San Francisco, CA 127.5 137.7 8 Washington, DC 117.8 122.2 9 Seattle/Tacoma, WA 117.1 124.3 10 Houston, TX 136.3 149.3 11 Phoenix, AZ 140.9 150.9 12 Los Angeles, CA 125.1 136.3 13 Baltimore, MD 119.6 127.6 14 Philadelphia, PA 116.8 123.2 15 Minneapolis/St. Paul, MN 111.2 119.1 16 Detroit, MI 117.2 126.3 17 Atlanta, GA 125.9 128.7 18 San Diego, CA 138.2 149.4 19 Las Vegas, NV 160.0 172.9 20 Ft. Lauderdale, FL 131.8 141.1 21 Orlando, FL 119.9 129.9 22 Tampa, FL 126.7 135.5 23 Portland, OR 118.5 124.4 24 St. Louis, MO 120.3 128.6 25 Oakland, CA 152.6 167.1 26 Kansas City, MO 137.1 146.7 27 Sacramento, CA 135.1 142.5 28 Charlotte, NC 127.2 132.9 29 Salt Lake City, UT 147.4 160.0 30 Raleigh/Durham, NC 107.4 117.8 31 Honolulu, HI 162.2 175.6 32 San Jose, CA 132.7 146.2 33 Pittsburgh, PA 116.6 123.3 34 Milwaukee, WI 100.5 108.1 35 Austin, TX 124.8 135.2 36 Santa Ana (Orange County), CA 125.6 138.2 37 Indianapolis, IN 118.4 128.7 38 Nashville, TN 135.4 143.9 39 San Antonio, TX 129.6 141.7 40 Columbus, OH 126.4 138.1 41 Miami, FL 116.9 125.2 42 Cleveland, OH 134.2 143.9 43 New Orleans, LA 155.0 164.3 44 Buffalo/Niagara, NY 121.2 133.9 45 Hartford, CT 122.0 123.3 46 Ontario/San Bernardino, CA 136.9 148.9 47 Burbank/Glendale/Pasadena, CA 186.5 204.4 48 Jacksonville, FL 129.3 139.0 49 San Juan, PR 121.9 144.9 50 Ft. Myers, FL 153.4 160.7 51 West Palm Beach/Palm Beach, FL 125.3 134.7 52 Albuquerque, NM 136.2 146.3 53 Providence, RI 137.5 135.5 54 Omaha, NE 126.8 133.0 55 Cincinnati, OH 125.9 140.5 9.9 12.0 10.0 8.7 5.9 9.3 10.2 4.4 7.2 13.0 10.0 11.2 8.0 6.4 7.9 9.1 2.8 11.2 12.9 9.3 10.0 8.8 5.9 8.3 14.5 9.6 7.4 5.7 12.6 10.4 13.4 13.5 6.7 7.6 10.4 12.6 10.3 8.5 12.1 11.7 8.3 9.7 9.3 12.7 1.3 12.0 17.9 9.7 23.0 7.3 9.4 10.1 -2.0 6.2 14.6 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 Richmond, VA Tucson, AZ Oklahoma City, OK Norfolk/Virginia Beach, VA Manchester, NH Louisville, KY Memphis, TN Spokane, WA El Paso, TX Long Beach, CA Birmingham, AL Dayton, OH Reno, NV Tulsa, OK Albany, NY Rochester, NY Boise, ID Anchorage, AK Syracuse, NY Little Rock, AR Long Island, NY Grand Rapids, MI Kahului (Maui), HI Des Moines, IA Greensboro/High Point, NC Colorado Springs, CO Charleston, SC Kona, HI Lihue (Kauai), HI Savannah, GA 96.3 141.8 139.0 118.4 112.8 148.4 121.4 116.7 136.8 151.5 135.1 113.3 148.0 133.0 136.2 108.1 114.7 207.0 120.7 123.0 184.2 114.4 141.3 105.5 148.6 113.8 135.6 197.9 231.9 126.7 109.5 151.8 150.7 128.8 114.0 158.1 125.0 122.0 153.1 170.1 145.1 122.5 154.2 143.4 146.9 117.8 122.9 205.3 133.9 137.0 188.2 116.1 153.1 112.1 150.3 124.3 138.0 212.2 261.4 131.8 13.2 10.0 11.7 10.4 1.2 9.7 3.6 5.3 16.3 18.6 10.0 9.2 6.2 10.4 10.7 9.7 8.2 -1.7 13.2 14.0 4.0 1.7 11.8 6.6 1.7 10.5 2.4 14.3 29.5 5.1 010 Year 1880 1881 1882 1883 1884 1885 1886 1887 1888 1889 1890 1891 1892 1893 1894 1895 1896 1897 1898 1899 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 TempAnomaly -0.11 -0.13 -0.01 -0.04 -0.42 -0.23 -0.25 -0.45 -0.23 0.04 -0.22 -0.55 -0.40 -0.39 -0.32 -0.32 -0.27 -0.15 -0.21 -0.25 -0.05 -0.05 -0.30 -0.35 -0.42 -0.25 -0.15 -0.41 -0.30 -0.31 -0.21 -0.25 -0.33 -0.28 -0.02 0.06 -0.20 -0.46 -0.33 -0.09 -0.15 -0.04 -0.09 -0.16 -0.11 -0.15 0.04 -0.05 0.01 -0.22 -0.03 0.03 0.04 -0.11 0.05 -0.08 0.01 0.12 0.15 -0.02 0.14 CO2 290.7 291.2 291.7 292.1 292.6 293.0 293.3 293.6 293.8 294.0 294.2 294.3 294.5 294.6 294.7 294.8 294.9 295.0 295.2 295.5 295.8 296.1 296.5 296.8 297.2 297.6 298.1 298.5 298.9 299.3 299.7 300.1 300.4 300.8 301.1 301.4 301.7 302.1 302.4 302.7 303.0 303.4 303.8 304.1 304.5 305.0 305.4 305.8 306.3 306.8 307.2 307.7 308.2 308.6 309.0 309.4 309.8 310.0 310.2 310.3 310.4 TempAnomaly is "global mean surface air temperature diff CO2 is carbon dioxide concentration in ppm by volume 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 0.11 0.10 0.06 0.10 -0.01 0.01 0.12 -0.03 -0.09 -0.17 -0.02 0.03 0.12 -0.09 -0.09 -0.18 0.08 0.10 0.05 -0.02 0.10 0.05 0.03 -0.25 -0.15 -0.07 -0.02 -0.09 0.00 0.04 -0.10 -0.05 0.18 -0.06 -0.02 -0.21 0.16 0.07 0.13 0.27 0.40 0.10 0.34 0.16 0.13 0.19 0.35 0.42 0.28 0.49 0.44 0.16 0.18 0.31 0.47 0.36 0.40 0.71 0.43 0.41 0.56 0.70 0.66 310.4 310.3 310.2 310.1 310.1 310.1 310.2 310.3 310.5 310.7 311.1 311.5 311.9 312.4 313.0 313.6 314.2 314.9 315.8 316.6 317.3 318.1 318.7 319.2 320.0 321.1 322.0 322.9 324.2 325.2 326.1 327.2 328.8 329.7 330.7 331.8 333.3 334.6 336.9 338.7 339.9 341.1 342.8 344.4 345.9 347.2 348.9 351.5 352.9 354.2 355.6 356.4 357.0 358.9 360.9 362.6 363.8 366.6 368.3 369.5 371.0 373.1 375.6 2004 0.60 377.4 ace air temperature difference" (deg C) reltive to 1951 to 1980 baseline

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