...Statistics Chapter 5 - Review - A random variable is a variable (typically represented by x) that has a single numerical value, determined by chance, for each outcome of a procedure. A probability distribution is a description that gives the probability for each value of the random variable. It is often expressed in the format of a graph, table, or formula. A discrete random variable has either a finite number of values or a countable number of values, where “countable” refers to the fact that there might be infinitely many values, but they can be associated with a counting process, so that the number of values is 0 or 1 or 2 or 3, etc. A continuous random variable has infinitely many values, and those values can be associated with measurements on a continuous scale without gaps or interruptions. Examples: 1.) Discrete: x = the number of eggs that a hen lays in a day. This is a discrete random variable because its only possible values are 0, or 1, or 2, and so on. No hen can lay 2.343115 eggs, which would have been possible if the data had come from a continuous scale. 2.) Continuous: x = the amount of milk a cow produces in one day. This is a continuous random variable because it can have any value over a continuous span. During a single day, a cow might yield an amount of milk that can be any value between 0 and 5 gallons. It would be possible to get 4.123456 gallons, because the cow is not restricted to the discrete amounts of 0,1,2,3,4, or 5 gallons. Requirements...
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...I would like to find out whether a Man's Name affects his credit score. I recorded the Credit scores readings of 25 men Named Joe, 22 men named Jon and 19 men named Mark; My data appears in the table to the right. I want to know whether the differences in the average readings are significant. Basically whether the average reading of all men named Joes is different from the average reading of all Jon' or whether these averages differ from the average reading of all Marks. Joe Jon Mark 650 680 650 630 650 570 630 660 580 650 690 520 670 550 420 440 480 650 550 440 660 549 350 670 490 650 660 465 670 650 440 690 570 470 680 550 490 650 680 650 660 690 660 650 700 665 690 650 670 720 660 665 550 670 545 650 660 550 660 590 670 655 650 660 670 680 Using the ANOVA formulas, we have: • I = 3; • n1 = 26, n2 = 23, and n3 = 20, and x1,1 = 650, x1,2 = 680, x1,3 = 650, x2,1 = 630, etc.; • N = 25 + 22 + 19 = 69; • AV1 = 594, AV2 = 253.7, AV3 = 242.5 (at least approximately -- all figures except the degrees of freedom are approximate from here on); • AV = [26(594) + 23(626.52) + 20(626)]/66 = 642.03 • SSE = (650 - 594)2 + (680 – 626.52)2 + (650 - 626)2 + (630-594)2 + . . . (a total of 66 terms) =448591.7 • SSG = 26(594 – 642.03)2 + 23(626.52 – 642...
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...Manlapid, Charles Eugene Cervantes, Miguel Ruiz, Ramon De Guzman, Laurence Nepomuceno, Jeremy LOCAL AUTHORS Advantages of Going to a Shopping Mall Author: Juan (not indicated) http://shoppingwithjuan.com/advantages-shopping-mall.html All under one roof and special offer is the idea that jumps to mind when you think of a shopping mall. Today, shopping malls are the trend and if you ask people the benefits that they enjoyed going to a mall, they will give so many of them. However, today, shopping is funnier than ever before. You can eat as you shop and you can get the widest variety of services and products in a mall. If you would like a big experience, the mall is the way to go. You can give your children the best experience, the mall is the way to go. You can give your children the best experience by taking...
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...Completion of Prerequisite Coursework All applicants must have: At least 45 academic credits earned (“sophomore”class standing). Completion of one English Composition course. 2.5 minimum GPA for coursework completed at UW; 2.5 minimum Weighted GPA (see application form). Applicants to the Bachelor of Arts must have ECON 200, ECON 201, eligible statistics course, and MATH 112 or MATH 124 completed with at least a 2.0 grade in each course and a 2.5 average across these 4 courses. Applicants to the Bachelor of Science must have ECON 200, ECON 201, eligible statistics course, and MATH 124, MATH 125, and MATH 126 completed with at least a 2.0 grade in each course and a 2.5 average across the first 4 courses listed. MATH 125/126 will be considered separately from the “prerequisite average” Regarding STATISTICS: Eligible statistics courses include: STAT 311, Q SCI 381, STAT 340, STAT 341, STAT 390. Ineligible statistics courses include: STAT 220, STAT 221, STAT 321, Q METH 201. Regarding MATH: MATH 134, MATH 135, and MATH 136 may substitute for MATH 124, MATH 125, and MATH 126, respectively. MATH 112 is only acceptable for the Bachelor of Arts. Repeating a course? Course repeats are not encouraged. However, students are permitted to repeat each prerequisite course one time. Please list the higher of the two...
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...Question 1: Conceptual Question (a) Model I: The major econometric issue is on the error term ui. The equation ui2=γ1+γ2x1,j indicates that the error term ui is related with the independent variable x1. Under the general assumptions, the error term us designed to capture ‘unexpected’ events, as such the error term should be random and the independent variable x1 is not random which means that its value if known. Therefore, model I breaks out this assumption, the error term ui is related with the independent variable x1 (not random), error term uiwill hence be not random as well. As a result, the dependent variable y will be not random which is wrong in econometrics. (b) Model II: The major econometric issue is on the error term vt. The equation vt=ρvt-1 indicates that for the pair of random error term vt and vt-1, there is linear association among them. Under the fourth assumption of the simple linear regression model, the covariance between any pair of random errors is zero, implying that there is no linear association among them. Therefore, model II breaks out this assumption, one random error term vt has a linear relationship with another random error term vt-1. (c) Model III: The major econometric issue is on the independent variable x1,i. x1,i~i.i.d(ux, σx2) indicates that x1,i is independent and identically distributed random variables. Under the fifth assumption of the simple linear regression model, it requires the regressors x1,i to...
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...considered as part of the earned units to finish your curriculum. YEAR 2015 - FIRST TERM GE(MST)* ABT 11 G 1 REGD BOT 1 ENG 1(AH) V-8L 3 H-6R 3 REGD REGD MATH 11 PE 1 PSY 1(SSP) CD-3R 3 REGD YZ1 2 E-6R 3 REGD REGD STS B 3 10(MST)* ZOO 1 WX-1L3 YEAR 2015 - SECOND TERM AEC 1 ANSC 1 REGD CHEM 15.0 CHEM 15.1 CRSC 1 ENG 2(AH) MATH 14 PE 2 REGD YEAR 2016 - FIRST TERM ANSC 2 BIO 30 CHEM 40.0 CHEM 40.1 CRPT 1 CRSC 2 NSTP 1 PE 2 SPCM 1(AH) http://gateway.uplb.edu.ph/printerfriendlyminichecklist YEAR 2016 - SECOND TERM ABT 101 CRPT 2 GE(MST)* MATH 26 MCB 1 NSTP 2 PE 2 STAT 1 Recommended Courses: NSTP 1 CHEM 15.0 CHEM 15.1 MATH 14 CRSC 1 ANSC 1 AEC 1 ENG 2(AH) BIO 30 SPCM 1(AH) CRPT 1 STAT 1 MCB 1 CMSC 11 PI 10(SSP) The list of Recommended Courses for next semester is based on your current grades. If you have questions or want to add a subject in your recommended course list, please ask your College Secretary. 1/2 11/21/2015 YEAR 2017 - FIRST TERM gateway.uplb.edu.ph/printerfriendlyminichecklist YEAR 2017 - SECOND TERM ABT 105 ABT 107 BOT 20 CHEM 160 AGRI 161 CHEM 160.1 CMSC 11 GE(AH)* GE(AH)* GE(SSP)* PI 10(SSP) PHYS 3 SOIL 1 STAT 162 YEAR 2018 - FIRST TERM YEAR 2018 - SECOND TERM ABT 106 ABT 200-3 AGRI 199 ABT 108 ABT 199 ABT 200-3 GE(MST)* ELECTIVE* GE(SSP)* GE(SSP)* SPECIALIZED* ...
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...TI-84 Plus TI-84 Plus Silver Edition Guidebook Important Information Texas Instruments makes no warranty, either express or implied, including but not limited to any implied warranties of merchantability and fitness for a particular purpose, regarding any programs or book materials and makes such materials available solely on an "as-is" basis. In no event shall Texas Instruments be liable to anyone for special, collateral, incidental, or consequential damages in connection with or arising out of the purchase or use of these materials, and the sole and exclusive liability of Texas Instruments, regardless of the form of action, shall not exceed the purchase price of this product. Moreover, Texas Instruments shall not be liable for any claim of any kind whatsoever against the use of these materials by any other party. © 2005 Texas Instruments Incorporated Windows and Macintosh are trademarks of their respective owners. ii USA FCC Information Concerning Radio Frequency Interference This equipment has been tested and found to comply with the limits for a Class B digital device, pursuant to Part 15 of the FCC rules. These limits are designed to provide reasonable protection against harmful interference in a residential installation. This equipment generates, uses, and can radiate radio frequency energy and, if not installed and used in accordance with the instructions, may cause harmful interference to radio communications. However, there is no guarantee that interference...
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...100X (3)____ HIST 100X (3)____ ART/MUS/THR 200X or HUM 201X or ANS 202X (3)____ ENGL/FL 200X (3)____ BA 323X or COMM 300X or JUST 300X or NRM 303X or PHIL 322X or PS 300X (3)____ Language option as listed above: _______( )___ _______( )___ _______( )___ SOCIAL SCIENCES/HUMANITIES: (18) Must include at least 6 credits of humanities OR 12 credits in a non-English language taken at the university level. ANTH/ANS 242 and PSY 101 are required and fulfill the social science requirement. ANTH/ANS 242 ( 3)____ ________( )____ ( 3)____ ________( )____ PSY 101 ____________ ( )____ ________( )____ MATHEMATICS: (6-7) 1. Complete 1 MATH/STAT/CS elective: __________(3)____ 2. MATH 107X +/MATH 161X or MATH 103X (3-4)____ or STAT 200X (3)____ or MATH 200/201/202/262/272 (3-4)____ +no credit may be earned for more than one MATH 107X or MATH 161X NATURAL SCIENCE: (8) 1. Complete BIOL 100X or BIOL 103X or BIOL 115X or BIOL 116X or BIOL 111X or BIOL 112X (4)____ 2. Complete one additional 4-credit Core natural science course:___________(4)___ LIBRARY & INFO SKILLS: (0-1) LS competency test____ OR LS 100X or 101X (1)____ *Designates only grades of "C" or better may be used to fulfill this requirements. *MAJOR REQUIREMENTS 1.Complete the following: (42) SWK 103 (3)_____ SWK 220 (3)_____ SWK 305 (3)_____(O) SWK 306 (3)_____(W) SWK 320 (3)_____(W) SWK 341 (3)_____ SWK 342...
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...will be silly of us to mention EV training with mentioning the Super Training. It hasn't changed since X and Y and you should definitely complete that before doing this. So how exactly does Pokemon Omega Ruby and Alpha Sapphire make it easier to EV train your Pokemon? Let’s take a look. Basics Let’s start with the basics of EV training. As many veteran trainers know, every Pokemon is allowed 510 Effort Value points that will go into their overall stats. These points are based on what Pokemon you defeat. Each Pokemon in ORAS has a specific amount in a given stat their EV points go toward. For example: A Wingull gives 1 Speed point. Each stat is allotted 252 EV points to max out a Pokemon’s potential in that particular stat. So, back to the Wingull, defeating 252 Wingull at 1 Speed point each will max out a particular Pokemon’s Speed stat. Some simple math shows that a Pokemon can max out two of their stats with the 252 EV points allowed -- with 6 EV points being left over for whatever stat you so choose. Which stat to EV Train to its max potential is solely on the preference of the trainer...
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...A Statistical Perspective on Data Mining Ranjan Maitra∗ Abstract Technological advances have led to new and automated data collection methods. Datasets once at a premium are often plentiful nowadays and sometimes indeed massive. A new breed of challenges are thus presented – primary among them is the need for methodology to analyze such masses of data with a view to understanding complex phenomena and relationships. Such capability is provided by data mining which combines core statistical techniques with those from machine intelligence. This article reviews the current state of the discipline from a statistician’s perspective, illustrates issues with real-life examples, discusses the connections with statistics, the differences, the failings and the challenges ahead. 1 Introduction The information age has been matched by an explosion of data. This surfeit has been a result of modern, improved and, in many cases, automated methods for both data collection and storage. For instance, many stores tag their items with a product-specific bar code, which is scanned in when the corresponding item is bought. This automatically creates a gigantic repository of information on products and product combinations sold. Similar databases are also created by automated book-keeping, digital communication tools or by remote sensing satellites, and aided by the availability of affordable and effective storage mechanisms – magnetic tapes, data warehouses and so on. This has created a situation...
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...Deutsch-Englisch-Übersetzung für: descriptive ä ö ü ß DE ENDE –> ENEN –> DE-----DE EN-----DE BGDE BSDE CSDE DADE ELDE EODE ESDE FIDE FRDE HRDE HUDE ISDE ITDE LADE NLDE NODE PLDE PTDE RODE RUDE SKDE SQDE SRDE SVDE TR-----EN BGEN BSEN CSEN DAEN ELEN EOEN ESEN FIEN FREN HREN HUEN ISEN ITEN LAEN NLEN NOEN PLEN PTEN ROEN RUEN SKEN SQEN SREN SVEN TR Optionen | Tipps | FAQ | Abk. | Desktop Integration LoginRegistrierenHomeAbout/ExtrasVokabeltrainerFachgebieteBenutzerForumMitmachen!descriptive in anderen Sprachen: Deutsch - Englisch Deutsch - Französisch English - Bulgarian English - Dutch English - Russian English - Slovak Eintragen in ... English - Bosnian English - Czech English - Danish English - Greek English - Esperanto English - Spanish English - Finnish English - French English - Croatian English - Hungarian English - Icelandic English - Italian English - Latin English - Norwegian English - Polish English - Portuguese English - Romanian English - Albanian English - Serbian English - Swedish English - Turkish Englisch: DA | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z Wörterbuch Englisch → Deutsch: descriptive Übersetzung 1 - 25 von 25 Englisch Deutsch edit ADJ descriptive | more descriptive | most descriptive – descriptive {adj} 141beschreibend descriptive {adj} 81erklärend descriptive {adj} 63anschaulich...
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...Fall 2012 Final Examination Schedule Exam Section(s) Day Date Start Finish Location 1 ACTSC 221 ACTSC 231 ACTSC 232 ACTSC 331 ACTSC 371 ACTSC 372 ACTSC 431 ACTSC 432 ACTSC 445 ACTSC 446 ACTSC 463 ACTSC 471 ACTSC 831 ACTSC 832 ACTSC 845 ACTSC 846 ACTSC 863 AFM 101 AFM 123 AFM 131 AFM 204 AFM 273 AFM 291 AFM 333 AFM 371 AFM 372 AFM 391 AFM 401 AFM 415 AFM 451 AFM 461 AFM 471 AFM 472 AFM 476 AFM 481 001 001,002 001 001 001 001 001 001 001 001 001 001,002 001 001 001 001 001 001 to 006 001 001 to 006 001 001 to 005 001 to 006 001 to 003 001,002 001 001 to 003 001 to 004 001 001 to 003 001 to 004 001 to 003 001 to 003 001,002 001 to 003 Tuesday Friday Friday Friday Thursday Saturday Saturday Thursday Tuesday Thursday Friday Saturday Saturday Thursday Tuesday Thursday Friday Monday Monday Thursday Friday Thursday Tuesday Tuesday Monday Monday Tuesday Thursday Friday Friday Monday Saturday Monday Saturday Thursday December 11, 2012 December 14, 2012 December 7, 2012 December 7, 2012 December 13, 2012 December 15, 2012 December 8, 2012 December 6, 2012 December 11, 2012 December 13, 2012 December 7, 2012 December 15, 2012 December 8, 2012 December 6, 2012 December 11, 2012 December 13, 2012 December 7, 2012 December 17, 2012 December 17, 2012 December 13, 2012 December 7, 2012 December 13, 2012 December 11, 2012 December 11, 2012 December 17, 2012 December 17, 2012 December 11, 2012 December 6, 2012 December 14, 2012 December 7, 2012 December 10, 2012 December 15, 2012...
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...Sections Found Accounting Select CRN Subj Crse Sec Cmp Cred NR 21138 ACC 201 01 M 3.000 Title Fund of Financial Accounting Days Time TRU Instructor Date Location Attribute (MM/DD) 02/03-06/01 SBM 009 Design Managmnt Major_Elective and Design Managmnt Minor_Elective and Economics Major_BAE_Elective and Eng'g Managmnt_Minor_Elective and MTH Major_Elective Design Managmnt Major_Elective and Design Managmnt Minor_Elective and Economics Major_BAE_Elective and Eng'g Managmnt_Minor_Elective and MTH Major_Elective Design Managmnt Major_Elective and Design Managmnt Minor_Elective and Economics Major_BAE_Elective and Eng'g Managmnt_Minor_Elective and MTH Major_Elective Design Managmnt Major_Elective and Design Managmnt Minor_Elective and Economics Major_BAE_Elective and Eng'g Managmnt_Minor_Elective and MTH Major_Elective Design Managmnt Major_Elective and Design Managmnt Minor_Elective and Economics Major_BAE_Elective and Eng'g Managmnt_Minor_Elective and MTH Major_Elective Design Managmnt Major_Elective and Design Managmnt Minor_Elective and Economics Major_BAE_Elective and Eng'g Managmnt_Minor_Elective and MTH Major_Elective Design Managmnt Major_Elective and Design Managmnt Minor_Elective and Economics Major_BAE_Elective and Eng'g Managmnt_Minor_Elective and MTH Major_Elective 09:00 Marian I. Mason am-09:50 (P) am NR 21139 ACC 201 02 M 3.000 Fund of Financial Accounting TRU Ronald D. 12:00 pm-12:50 Williams (P) pm 02/03-06/01 SBM 012 ...
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...College of Economics and Management 85 COLLEGE OF ECONOMICS AND MANAGEMENT Libornio S. Cabanilla, Dean Jose V. Camacho, Jr., Associate Dean Agnes T. Banzon, College Secretary Reynaldo L. Tan, Chair, Dept. of Agribusiness Management Cesar B. Quicoy, Chair, Dept. of Agricultural Economics Amelia L. Bello, Chair, Dept. of Economics The College of Economics and Management (CEM) was formally created in the 996th UP-BOR meeting, February 1987. However, the College traces its roots to the Institute of Agricultural Development and Administration (IADA)which was established in 1975, with three departments – Agricultural Economics (DAE), Economics (DE), and Management (DM), and was elevated to the College of Economics and Management from the merger of IADA with the Agricultural Credit and Cooperative Studies and the Agrarian Reform Institute in 1978. At present, CEM is composed of three departments – the Department of Agricultural Economics, the Department of Economics and the Department of Agribusiness Management. The college sees itself as a center of excellence in undergraduate and graduate instruction, research and extension in economics, agricultural and applied economics, and agribusiness management in Asia. It envisions to be an institution of higher learning that can serve as an active catalyst for economic and social transformation. Its two-fold mission is to produce graduates and future leaders with strong training in economics, agricultural and applied economics, and in agribusiness...
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...- 1:00 4 1:30 - 3:00 5 3:00 - 4:30 HUM-Dr. Musferah Mehfooz 6 4:30 - 6:00 7 6:00 - 7:30 Subjects Count English Physics for Chemical Comprehension and Engineers Composition Islamic Studies N-7 HUM-Huma Ijaz N-1 Math-Imran Zulfiqar Chem-Amjad Riaz Cheema Chemical Process Principles I N-11 Calculus I 2 Chemical Process Principles I 2 English Comprehension and Composition 2 Islamic Studies 2 Lab-Engineering Drawing 2 Lab-Physics for Chemical Engineers 2 Physics for Chemical Engineers 2 Tuesday Monday English Comprehension and Composition Calculus I N-7 N-12 Chem-Amjad Riaz N-11 Wednesday Phy-Dr. Saif Ur Rehman Physics for Chemical Chemical Process Engineers Principles I N-18 HUM-Dr. Musferah Mehfooz N-19 Math-Imran Zulfiqar Cheema Dr. Saif Ur Rehman / Dr. Ishrat Sultana Thursday Islamic Studies Calculus I Lab-Physics for Chemical Engineers N-15 N-3 Applied Physics Lab Chem-Muhammad Imran Rafiq Friday Lab-Engineering Drawing PC Lab-C Lessons/week 14 Timetable generated:11/13/2014 aSc Timetables Final Time Table - Fall 2014 ( v 20141113-1130 ) CIIT_Lahore FA14-BEC-B (Semester 1) (DDP) 2 10:00 - 11:30 Math-Syed Tahir Raza Rizvi 1 8:30 - 10:00 HUM-Huma Ijaz 3 11:30 - 1:00 4 1:30 - 3:00 5 3:00 - 4:30 6 4:30 - 6:00 7 6:00 - 7:30 Subjects Count English Comprehension and Composition Calculus I N-10 Phy-Dr. Ayesha...
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