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UWO - STATS - 120
Statistics 120 Perception IFirst Prev Next Last Go Back Full Screen Close QuitVisual Processing And The Brain When an image is passed to the brain it is processed through increasingly complex steps until it reaches the higher areas of the brain.
UWO - STATS - 120
Statistics 120 Perception IIFirst Prev Next Last Go Back Full Screen Close QuitGraphical Perception Some visual processing takes place without any concious effort on our part. Psychologists call this preattentive vision. In the context of extr
UWO - STATS - 120
Statistics 120 Light and ColorFirst Prev Next Last Go Back Full Screen Close QuitLight Light is a form of electromagnetic radiation. Electromagnetic radiation can be regarded as a wave-like phenomenon. There are different kinds of em-radiation
UWO - STATS - 120
Statistics 120 ColourimetryFirst Prev Next Last Go Back Full Screen Close QuitColour Matching Much colour research was carried out in the 1920s and 1930s (mostly in the UK). There were two goals for this research To understand colour vision.
UWO - STATS - 120
Statistics 120 Using ColourFirst Prev Next Last Go Back Full Screen Close QuitLight and Dark Contrast The basic structure of any image is conveyed by the light and dark contrast in the image. This information is conveyed by the basic R + G + B
UWO - STATS - 120
Statistics 120 Data HandlingFirst Prev Next Last Go Back Full Screen Close QuitData Formats Usually raw data sets are entered using spreadsheet or produced in a form suitable for reading into a spreadsheet (see STAT 220 for more details). The m
UWO - STATS - 120
Statistics 120 Pie Charts, Bar Charts & Dot ChartsFirst Prev Next Last Go Back Full Screen Close QuitA Single Categorical Variable We often need to display a set of values each of which is associated with a single category of a factor or ordered
UWO - STATS - 120
Statistics 120 Mosaic PlotsFirst Prev Next Last Go Back Full Screen Close QuitWho Listens To Classical Music?The following table of values shows a sample of 2300 music listeners classified by age, education and whether they listen to classical m
UWO - STATS - 120
Statistics 120 Histograms and VariationsFirst Prev Next Last Go Back Full Screen Close QuitGraphics for a Single Set of Numbers The techniques of this lecture apply in the following situation: We will assume that we have a single collection of
UWO - STATS - 120
Statistics 120 Density TracesFirst Prev Next Last Go Back Full Screen Close QuitHistograms Traditional histograms work with a fixed set of histogram cells. The height of each histogram bar provides a measure of the density of data values within
UWO - STATS - 120
Statistics 120 Plots Based on QuantilesFirst Prev Next Last Go Back Full Screen Close QuitPercentiles and QuantilesThe k-th percentile of a set of values divides them so that k % of the values lie below and (100 - k)% of the values lie above. T
UWO - STATS - 120
Statistics 120 Plots Based on Quantiles IIFirst Prev Next Last Go Back Full Screen Close QuitAn Example Rats and OzoneA group of young rats was randomly split into two groups. One group was used as a control and the other raised in an ozone enr
UWO - STATS - 120
Statistics 120 Scatter Plots and SmoothingFirst Prev Next Last Go Back Full Screen Close QuitAn Example Car Stopping Distances An experiment was conducted to measure how the stopping distance of a car depends on its speed. The experiment used
UWO - STATS - 120
Statistics 120 Fitting a Straight LineFirst Prev Next Last Go Back Full Screen Close QuitThe ProblemGiven a set of points (x1 , y1 ), . . . , (xn , yn ), how do we find a straight line y = a + bx which provides a good description of the general
UWO - STATS - 120
Statistics 120 Multipanel Conditioning PlotsFirst Prev Next Last Go Back Full Screen Close QuitTrellis Graphics Trellis Graphics is a family of techniques for viewing complex, multi-variable data sets. The ideas have been around for a while, bu
UWO - STATS - 120
Statistics 120 Multipanel Conditioning IIFirst Prev Next Last Go Back Full Screen Close QuitTrellis Graphics The Trellis graphics system in R is written by Deepayan Sarkar of the University of Wisconsin, using the "Grid" graphics system written
UWO - STATS - 120
Statistics 120 Examining Three-Dimensional DataFirst Prev Next Last Go Back Full Screen Close QuitExamining Two Variables The most important tool is the scatter plot. Scatter plots do two things well They display relationships between variable
UWO - STATS - 120
Statistics 120 Clusters and SurfacesFirst Prev Next Last Go Back Full Screen Close QuitHigh-Dimensional Data A typical statistical data set can be laid out in a matrix with rows corresponding to cases and columns to variables. If there are n ca
UWO - STATS - 120
Statistics 120 Displaying Time Series DataFirst Prev Next Last Go Back Full Screen Close QuitTime Series A time series is a set of observations made at equally spaced points in time. Time series observations are usually numerical measurements,
UWO - STATS - 120
Statistics 120 Time Series ApplicationsFirst Prev Next Last Go Back Full Screen Close QuitAtmospheric Carbon Dioxide Levels The island of Hawaii is a volcanic cone which rises roughly 17km from the ocean floor to the top of its tallest peak. Th
UWO - STATS - 120
Chapter 2An Introduction to R2.1 Computing and GraphicsThe introduction of cheap, powerful computers has brought about a revolution in the production of graphs. In the past, the production of a quality graph required that someone with special ski
UWO - STATS - 120
Chapter 3Graphics with R3.1 Low-Level GraphicsR has extensive facilities for producing graphs. There are both low- and high-level graphics facilities. The low-level graphics facilities provide basic building blocks which can be used to build up g
Foothill College - CIS - 068
HansBakerMenlo ParkJackGarciaPalo AltoJoeSmithMountain ViewDavidSpinelliMountain ViewJaneTangMountain ViewShirleyWalshPalo AltoJackUedaMenlo Park
Foothill College - CIS - 068
AbbotPalo AltoBowermanPalo AltoChanMountain ViewGarciaSunnyvaleNighthorseMenlo ParkTanakaMountain View
Foothill College - CIS - 068
JosephAbbotJaneBowermanAmyChanJorgeGarciaJoanNighthorseHidekiTanaka
Foothill College - CIS - 068
HansBakerMenlo ParkJackGarciaPalo AltoJoeSmithMountain ViewDavidSpinelliMountain ViewJaneTangMountain ViewShirleyWalshPalo AltoJackUedaMenlo Park
Foothill College - CIS - 068
Garcia Apr 3 11:04 viSmith Apr 3 12:35 ccUeda Apr 3 12:36 lsSmith Apr 4 12:45 lsSmith Apr 4 12:47 catUeda Apr 4 12:56 lsSmith Apr 4 13:55 cat
Foothill College - CIS - 068
Hans Baker Menlo ParkJack Garcia Palo AltoJoe Smith Mountain ViewDavid Spinelli Mountain ViewJane Tang Mountain ViewShirley Walsh Palo AltoJack Ueda Menlo Park
Foothill College - CIS - 068
GarciaApr311:04viSmithApr312:35ccUedaApr312:36lsSmithApr412:45lsSmithApr412:47catUedaApr412:56lsSmithApr413:55catSmithApr414:00viChangApr414:05ccGarciaApr414:07viUedaApr500:05catUedaApr500:30
Foothill College - CIS - 068
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Foothill College - CIS - 068
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Foothill College - CIS - 068
GarciaApr 311:04viSmithApr 312:35ccUedaApr 312:36lsSmithApr 412:45lsSmithApr 412:47catUedaApr 412:56lsSmithApr 413:55catSmithApr 414:00viChangApr 414:05ccGarciaApr 414:07viUedaApr 500:05catUedaApr 500:30
Foothill College - CIS - 068
HansBakerMenlo ParkJackGarciaPalo AltoJoeSmithMountain ViewDavid SpinelliMountain ViewJaneTangMountain ViewShirleyWalshPalo AltoJackUedaMenlo Park
Foothill College - CIS - 068
HansBakerMenlo ParkJackGarciaPalo AltoJoeSmithMountain ViewDavid SpinelliMountain ViewJaneTangMountain ViewShirleyWalshPalo AltoJackUedaMenlo Park
Foothill College - CIS - 068
Abbot Palo AltoBowerman Palo AltoChan Mountain ViewGarcia SunnyvaleNighthorse Menlo ParkTanaka Mountain View
Foothill College - CIS - 052
select version(); CREATE TABLE players(id varchar( 4 ) ,name varchar( 25 ))insert into employee values('01', 'Kim');SELECT * FROM `employee`alter table employee add address varchar(35)alter table employee add PRIMARY KEY (`id`)alter t
Foothill College - CIS - 068
Hans Baker Menlo ParkJack Garcia Palo AltoJoe Smith Mountain ViewDavid Spinelli Mountain ViewJane Tang Mountain ViewShirley Walsh Palo AltoJack Ueda Menlo Park
Foothill College - CIS - 068
GarciaApr311:04viSmithApr312:35ccUedaApr312:36lsSmithApr412:45lsSmithApr412:47catUedaApr412:56lsSmithApr413:55catSmithApr414:00viChangApr414:05ccGarciaApr414:07viUedaApr500:05catUedaApr500:30
Foothill College - CIS - 068
GarciaApr311:04viSmithApr3SmithccUedaApr312:36lsSmithApr412:45lsSmithApr412:47catUedaApr412:56lsSmithApr413:55catSmithApr414:00viChangApr414:05ccGarciaApr414:07viUedaApr500:05catUedaApr500:30
Foothill College - CIS - 068
GarciaApr 311:04viSmithApr 312:35ccUedaApr 312:36lsSmithApr 412:45lsSmithApr 412:47catUedaApr 412:56lsSmithApr 413:55catVBChangApr 414:05ccGarciaApr 414:07viUedaApr 500:05catUedaApr 500:30lsChangApr 506
Foothill College - CIS - 068
HansBakerMenlo ParkJackGarciaPalo AltoJoe SmithMountain ViewDavidSpinelliMountain ViewJaneTangMountain ViewShirleyWalshPalo AltoJackUedaMenlo Park
Foothill College - CIS - 068
HansBakerMenlo ParkJackGarciaPalo AltoJoeSmithMountain ViewDavidSpinelliMountain ViewJaneTangMountain ViewShirleyWalshPalo AltoJackUedaMenlo Park
Foothill College - CIS - 068
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Foothill College - CIS - 068
Abbot Palo AltoBowermanPalo AltoChanMountain ViewGarciaSunnyvaleNighthorseMenlo ParkTanakaMountain View
Foothill College - CIS - 068
root:x:0:1:Super-User:/:/sbin/shdaemon:x:1:1:/:bin:x:2:2:/usr/bin:sys:x:3:3:/:adm:x:4:4:Admin:/var/adm:lp:x:71:8:Line Printer Admin:/usr/spool/lp:uucp:x:5:5:uucp Admin:/usr/lib/uucp:nuucp:x:9:9:uucp Admin:/var/spool/uucppublic:/usr/lib/uucp/uu
Foothill College - CIS - 068
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Foothill College - CIS - 068
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Foothill College - CIS - 068
=HansBakerMenlo ParkJackGarciaPalo AltoJoeSmithMountain ViewDavidSpinelliMountain ViewJaneTangMountain ViewShirleyWalshPalo AltoJackUedaMenlo Park=
Foothill College - CIS - 068
Hans Baker Menlo ParkJack Garcia Palo AltoJoe Smith Mountain ViewDavid Spinelli Mountain ViewJane Tang Mountain ViewShirley Walsh Palo AltoJack Ueda Menlo Park
Foothill College - CIS - 068
AbbotPalo AltoBowermanPalo AltoChanMountain ViewGarciaSunnyvaleNighthorseMenlo ParkTanakaMountain View
Foothill College - CIS - 068
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Foothill College - CIS - 068
JosephAbbotJaneBowermanAmyChanJorgeGarciaJoanNighthorseHidekiTanaka
Foothill College - CIS - 068
HansBakerMenlo ParkJackGarciaPalo altoJoeSmithMountain ViewDavidSpinelliMountain ViewJaneTangMountain ViewShirleyWalshPalo AltoJackUedaMenlo Park
Foothill College - CIS - 068
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Foothill College - CIS - 068
HansBakerMenlo ParkJackGarciaPalo AltoJoeSmithMountain ViewDavidSpinelliMountain ViewJaneTangMountain ViewShirleyWalshPalo AltoJackUedaMenlo Park
Palomar - MATH - 105
Hints and Answers to Selected ExercisesNote to students: The selected answers below give you some indication about whether you are on the right track. They are NOT intended to be the type of answers you would turn in to an instructor. Your complete
Palomar - MATH - 105
Hints and Answers to Selected ExercisesNote to students: The selected answers below give you some indication about whether you are on the right track. They are NOT intended to be the type of answers you would turn in to an instructor. Your complete
Foothill College - CIS - 068
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Foothill College - CIS - 068
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Foothill College - CIS - 068
HansBaker Menlo ParkJackGarcia Palo AltoJoeSmith Mountain ViewDavidSpinelli Mountain ViewJaneTang Mountain ViewShirleyWalsh Palo AltoJackUeda Menlo Park
Arizona - MATH - 115
Math115a WoodProbability and Sets Worksheet #1Name:_ #:1. Let V be the event that a tourist visited a certain museum and let S be the event that the tourist went to a sporting event. P (V ) = 0.35, P ( S ) = 0.59, P (V S ) = 0.16Use the above