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ex2114
Course: STAT 3022, Fall 2008School: Minnesota
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mode context level m percent 1 1 1 132 20.5 2 1 1 132 31.1 1 1 2 132 28.0 2 2 1 131 38.9 1 2 1 132 34.1 2 2 1 131 48.9 1 2 2 132 23.5 2 2 2 123 45.5
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Coursehero >> Minnesota >> Minnesota >> STAT 3022Course Hero has millions of student submitted documents similar to the one
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mode context level m percent
1 1 1 132 20.5
2 1 1 132 31.1
1 1 2 132 28.0
2 2 1 131 38.9
1 2 1 132 34.1
2 2 1 131 48.9
...
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Minnesota - STAT - 3022
company treat score1 1 80.01 2 63.21 2 69.22 1 83.92 2 63.12 2 81.53 1 68.23 2 76.24 1 76.54 2 59.54 2 73.5
Minnesota - STAT - 3022
time voltage code5.79 26 11579.52 26 12323.7 26 168.85 28 2108.29 28 2110.29 28 2426.07 28 21067.6 28 27.74 30 317.05 30 320.46 30 321.02 30 322.66 30 343.4 30 347.3 30 3139.07 30 3144.12 30 3175.88 30 3194.9 30 30.27 32 40.4 32
Minnesota - STAT - 5931
> n <- 300> x <- runif(n)> y <- runif(n)> plot(x, y)> plot(x, y, asp = 1)> lines(c(0, 1, 1, 0, 0), c(0, 0, 1, 1, 0)> plot(x, y, asp = 1, type = "n", axes = FALSE, xlab = ", ylab = ")> lines(c(0, 1, 1, 0, 0), c(0, 0, 1, 1, 0)> points(x, y)>
Minnesota - CH - 5021
# File ex08_066.txt from publisher's web site# Data for Ex. 8.66, p. 603 of IPS4# Col. 1: text = text number (1-10)# Col. 2: girl = number of usages of "girl"# Col. 3: woman = number of usages of "woman"# Col. 4: boy = number of usages of "boy"
Minnesota - CH - 5021
# File ex10_044.txt from publisher's web site# Data for Ex. 10.44, p. 705 of IPS4# Col. 1: id = perch number (1-12)# Col. 2: weight = fish weigh (g)# Col. 3: len = fish length (cm)# Col. 4: width = fish width (cm)perch weight len width 1
Minnesota - CH - 5021
# File ta02_009.txt from publisher's web site# Data from Table 2.9, p. 161 of IPS4# Col. 1: child = child number (1 - 21)# Col. 2: age = age of child (months)# Col. 3: score = Gesell score of childchild age score 1 15 95 2 26 71
Minnesota - CH - 5021
# File ex10_004.txt from publisher's web site# Data for Ex. 10.4, p. 692 of IPS4# Col. 1: id = student number (1-16)# Col. 2: beers = number of cans of beer# Col. 3: bac = blood alcohol content id beers bac 1 5 0.100 2 2 0.030 3
Minnesota - CH - 5021
# File ex09_032.txt from publisher's web site# Data for Ex. 9.32, p. 647 of IPS4# Col. 1: responded (factor, 1=no, 2=yes)# Col. 2: letter (factor, 1=letter, 2=none)# Col. 3: count = number of physicians in cell# Note: cell number column dropped
Minnesota - CH - 5021
# File ex07_058.txt from publisher's web site# Data for Ex. 7.58, p. 544 of IPS4# Col. 1: apt = apartment number# Col. 2: rooms = number of rooms (1 or 2)# Col. 3: rent = rent ($/mo)apt rooms rent 1 2 595 2 2 500 3 2 580
Minnesota - CH - 5021
# File ex07_060.txt from publisher's web site# Data for Ex. 7.60, p. 545 of IPS4# Col. 1: loaf = loaf number (1-4)# Col. 2: days = days stored# Col. 3: vitaminc = vitamin C content (mg/100 g)loaf days vitaminc 1 0 47.62 2 0 49.79
Minnesota - CH - 5021
# File ex09_035.txt from publisher's web site# Data for Ex. 9.35, p. 648 of IPS4# Col. 1: current (factor 1=thislose, 2=thiswin)# Col. 2: next (factor (1=nextlose, 2=nextwin)# Col. 3: funds = number of stock funds# Note: cell number column dropp
Minnesota - CH - 5021
# File ex09_020.txt from publisher's web site# Data for Ex. 9.20, p. 643 of IPS4# Col. 1: wine (factor, 1=French, 2=Italian, 3=Other)# Col. 2: music (factor, 1=French, 2=Italian, 3=None)# Col. 3: count = number of purchases in cell# Note: cell n
Minnesota - CH - 5021
# File ex10_037.txt from publisher's web site# Data for Ex. 10.37, p. 702 of IPS4# Col. 1: id = specimen number (1-5)# Col. 2: femur = length of femur (cm)# Col. 3: humerus = length of humerus (cm) id femur humerus 1 38 41 2 56 63 3
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THE COMMUNITY-ENGAGED SCHOLARSHIP FOR HEALTH COLLABORATIVE Many untenured faculty find they must choose between `doing the work that would contribute to career advancement' and doing the work of the institution in linking with communities and educati
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Biological Invasions:Increasing - Great Lakes, Atlantic & Pacific Bays, Terrestrial, etc.Invasion Process Transport Introduction Establishment rapid growth, integration Spread Impact system Natural declines or stabilization? more rapid with less d
Minnesota - NRESEXOTIC - 3002
Biological Invasions:Increasing - Great Lakes, Atlantic & Pacic Bays, Terrestrial, etc.Invasion Process Transport Introduction Establishment rapid growth, integration Spread Impact system Natural declines or stabilization? more rapid with less dis
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FW 8459 STREAM and RIVER ECOLOGYFall 2000General Phylogenetic/Taxonomy of Some Important Stream Organisms This is an incomplete and biased list but illustrates some key organisms along with their classification.- classifications have been changin
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Minnesota - PHYS - 1063
Keywords Wednesday, September 19, 2007 Electromagnetic radiation Blackbody radiation Wavelength Intensity Stefan-Boltzmann law Wiens law Colors and wave lengths Light Infrared light Visible light Ultraviolet light Long-wave radiation Short-wave radia
Maryland - MATH - 115
Math 115 Exam 2 Sample 2 1. Suppose a(x) = x + 3 and suppose b(x) is an unknown function with b(3) = 5, b(1) = 6 and b(0) = 4. Find each of the following: (a) (a b)(1). (c) (a + b)(3)(b) (b a)(3) 2. Determine the average rate of change of h(x) =
Minnesota - CE - 5214
Simulator of Network Growth (SONG 1.0) for Homework 4 APrepared for Homework 4A, CE 5214 April 13, 2004What is Simulation?DefinitionlDynamic representation of some part of the real world through building computer model and moving it through
U. Memphis - COMP - 7120
Chapter 7: Signature SchemesCOMP 7120-8120 Lih-Yuan Deng lihdeng@memphis.eduOverviewIntroduction Security requirements for signature schemes ElGamal signature scheme Variants of ElGamal signature schemeDSA: Digital Signature AlgorithmProvably
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Single and Multilayer Perceptrons I. The perceptron learning rule is a special case of the general learning rule: Wji = Wji + c*r*xj where: Wji is the synaptic weight from the jth neuron to neuron ith, c is the learning rate, r is the learning signal
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How Minds WorkTools for Thinking about Minds: An Ontology for CognitionStan FranklinComputer Science Division & Institute for Intelligent Systems The University of Memphis1Ontology? Philosophythe study of the nature and relations of being C
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How Minds WorkNeuroscienceStan FranklinComputer Science Division & Institute for Intelligent Systems The University of Memphis1Nervous Systems Wetware underlying minds in animals Control sense-process-act cycles Composed of Neurons Gangli
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Biomolecular Computing in silicoMax H. Garzon Computer Science The University of Memphis0.2Jump to first pageAdleman's Example: HPP/TSPJump to first pageEncoding`GCATGGCC 0 CCGGTCGA' CCGGTACC' 2 `ATGGCATG 0 1 0 2 `GCATGGCCATGGCATG CCGGTACC
U. Memphis - CS - 7272
COMP7272ParallelandDistributedComputingConnectionMachinesMaxH.Garzon ComputerScience TheUniversityofMemphis0.2Jump to first pageCONNECTION MACHINE (CM-2)s sFine-grained massively data parallel processor with 16K, 32K, 64K PEs Languages:
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U. Memphis - CS - 7272
Parallel Programming: Distributed SystemsOctober 7, 2002 Characterization of Distribute Systems"A distributed system is one in which components located at networked computers communicate and coordinate their actions only by passing m
U. Memphis - UNHP - 4453
How Minds WorkSchema MechanismStan FranklinComputer Science Division & Institute for Intelligent Systems The University of Memphis1Schema Mechanism Implements early stages of Piaget's theory of child development A mechanism of mind Control
U. Memphis - CS - 7745
COMPUTATIONAL INTELLIGENCE COMP 7745/8745, Fall 2004Lab 4: Fuzzy Implication Methods6 October 2004Implication methods in FIS Mamdani MaxMin: Larsen MaxProduct: A ( x) B ( y) A ( x) B ( y)Both of these are implemented in standard Ma
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Topics in Human Computer Interaction Chapter 3: The Interaction1. What is an encompassing model of interaction in HCI? Why is a model useful?2. In what sense is the interaction problem solving? A mapping? A cycle?3. What are the main gulfs in i
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7120-8120. Cryptography and Data Security Spring, 2008Lih-Yuan Deng Contact Information:Office: 359 Dunn Hall Phone: 678-3134 E-mail: lihdeng@memphis.edu Department Office: 209 Dunn Hall Department Phone: 678-5465Office Hours:Monday Tuesday 9:30
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U. Memphis - CS - 3160
Advanced Data and File Structures COMP 3160Fall 2003Instructor Information Hongjun Song, Ph.D. Office: Dunn Hall Office Hours: By Appt. Course Description COMP 3160 is the third course in the Computer Science program. In this course, we will revi
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U. Memphis - CS - 46302
Tentative Lecture ScheduleThe following list is the tentative lecture schedule subjecting to changes when it becomes necessary. Date 1/21 1/23 1/28 1/30 2/4 2/6 2/11 2/13 2/18 2/20 2/25 2/27 3/4 3/6 3/11 3/13 3/18 3/20 3/25 3/27 4/1 4/3 4/8 4/10 4/1
U. Memphis - CS - 3160
Advanced Data and File Structures (COMP 3160)Summer 2001 Instructor InformationHongjun Song, Ph.D. Office: Dunn Hall Phone: 240-1564 E-mail: songh@msci.memphis.edu Office Hours: By AppointmentCourse Description:COMP 3160 is the third course in t
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Introduction to Java ProgrammingCOMP 4/6014Fall 2003Instructor Information Hongjun Song, Ph.D. Office: Dunn Hall Office Hours: By Appt. Course Description This course is an introduction to Java programming for students with little or no backgroun
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Advanced Data and File Structures (COMP 3160)Fall 2001Instructor Information Hongjun Song, Ph.D. Office: Dunn Hall Phone: 2636417 Email: hjsong@memphis.edu Office Hours: By Appointment Course Description COMP 3160 is the third course in the Comput
U. Memphis - CS - 3160
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U. Memphis - CS - 46302
Internet Applications and Java Programming COMP 4/6302Summer 2003Instructor Information Hongjun Song, Ph.D. Office: Dunn Hall Office Hours: By Appt. Course Description This class consists of two parts: Internet Applications and Java Programming.
U. Memphis - CS - 3160
Tentative Lecture ScheduleThe following list is the tentative lecture schedule subjecting to changes when it becomes necessary. Date 1/21 1/23 1/28 1/30 2/4 2/6 2/11 2/13 2/18 2/20 2/25 2/27 3/4 3/6 3/11 3/13 3/18 3/20 3/25 3/27 4/1 4/3 4/8 4/10 4/1
U. Memphis - PSYC - 7503
PSYC 7503/8503HomeWork 3 [DUE MIDNIGHT 10/16/2007]PROBLEMThe Hw3Data.txt file contains data from 2 trained judgeswho have watched video clips of participants and have rated theiremotions (or affective states).The file has 5 columnsPN - the p
U. Memphis - PSYC - 7503
PSYC 7503/8503Programming Assignment 1 [DUE 09/11/2007]OVERVIEW- In this assignment you will write a data collection program.- The purpose of the program is to display a set of stimuli to participants, prompt them for responses, measure respon
U. Memphis - PA - 7503
PSYC 7503/8503Programming Assignment 1 [DUE 09/11/2007]OVERVIEW- In this assignment you will write a data collection program.- The purpose of the program is to display a set of stimuli to participants, prompt them for responses, measure respon
U. Memphis - PSYC - 7503
Quiz 1Functions and ListsFUNCTIONS1. a. Write a function that accepts two numbers as input and returns the sum of those numbers. b. Invoke this function in the main part of your program. 2. a .Write a function that computes the sum of two
U. Memphis - PSYC - 7503
Session,Task,TimeSession1,Reading,5Session1,Reviewing,10Session1,Editing,15Session1,Reading,2.4Session1,Data Analysis,53Session1,Meeting,23Session1,Reading,1Session1,Reading,15Session1,Reviewing,10.3Session1,Editing,1.5Session1,Reading,2.7
U. Memphis - PSYC - 7503
PSYC 7503/8503HomeWork 3 [DUE 10/23/2007]PROBLEMThe HW3Data.txt file contains data from 2 trained judgeswho have watched video clips of participants and have rated theiremotions (or affective states).The file has 5 columnsPN - the participan
U. Memphis - PA - 7503
PSYC 7503/8503HomeWork 3 [DUE 10/23/2007]PROBLEMThe HW3Data.txt file contains data from 2 trained judgeswho have watched video clips of participants and have rated theiremotions (or affective states).The file has 5 columnsPN - the participan
U. Memphis - PSYC - 7503
SELFNeutralConfusionConfusionDelightFrustrationFlowFlowNeutralConfusionBoredomNeutralFrustrationFlowFlowConfusionNeutralConfusionFrustrationBoredomFrustrationBoredomBoredomBoredomBoredomFrustrationNeutralBoredomFrustration
U. Memphis - PSYC - 7503
human machine interface for abc computer applicationsa survey of user opinion of computer system response timethe EPS user interface management systemsystem and human system engineering testing of eps
U. Memphis - PA - 7503
human machine interface for abc computer applicationsa survey of user opinion of computer system response timethe EPS user interface management systemsystem and human system engineering testing of eps
U. Memphis - PSYC - 7503
PSYC 7503/8503HomeWork 2 [DUE 09/18/2007]PROBLEMSa. You will need your descriptive statistics program from homework 1. Modify the program to ask the user to enter as many numbers as he or she pleases. [HINT: Remember you cannot store each