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Arizona - PSYC - 377A
Chapter 81Chapter 8: State of Arizona v. Chapple Lecture NotesLesson: Using Social Knowledge to Educate Legal Decision MakersExample: Eyewitness Identification Case: State of Arizona v. ChappleCourt: Arizona Supreme CourtWhat is Educational Testimon
Arizona - PSYC - 377A
Chapter 9, Part 11Chapter 9: Gacy v. Welborn Lecture Notes, Part 1Section III: Problems Related to the Use of Social Knowledge Lesson: Law Refuses to Rely on Relevant Factual KnowledgeExample: Comprehension of Jury Instructions Case: Gacy v. Welborn
Arizona - PSYC - 377A
Chapter 9, Part 21Chapter 9: Gacy v. Welborn Lecture, Part 2 Why do legal decision makers sometime refuse to rely on social knowledge / facts? 1. Belief that the Expert is Biased The Gacy court was distrustful of the social science expert because of his
Arizona - PSYC - 377A
Chapter 10, Part 11Chapter 10, United States v. Leon Part 1, Lecture Notes Lesson: Relevant Factual Knowledge Does Not Yet Exist Example: Deterring Illegal Police Behavior Case: United States v. Leon Court: U.S. Supreme Court U.S. Constitutions 4th Amen
Arizona - PSYC - 377A
Chapter 11 Lecture Notes1Chapter 11, McCleskey v. Kemp Lecture Notes Lesson: Factual Knowledge Presented Is Irrelevant to the Legal IssueExample: Discrimination in the Imposition of the Death Penalty Case: McCleskey v. Kemp Court: United States Supreme
Arizona - PSYC - 377A
377a 1 Chapter 1 Lecture Notes Introduction Chapter Organization Important Concepts and Definitions Chapter Organization Brief Introduction to the Chapter and Its Lesson The lesson is exemplified by the excerpted reading There are 100s of other excerpts t
Arizona - CLAS - 340b
Lecture1:CivilizationinItalyA. The Geography of Italy14/01/200916:24:00 1. The Apennine Mountains- Gran Sasso 9700 feet high 2. The Tyrrhenian and Adriatic Seas 3. The problem of harbors in the east 4. Proximity to Africa and Sicily and Greece 5. The P
Arizona - CLAS - 340b
Lecture2:FromVillanovanstoEtruscans 21:48:00 A.TheInvasionoftheUrnfieldCulturesca.1000B.C. 2.VillanovansArchaicIandII,PericleDucati,Bolognatypesite a.PozzoandZiroTombs NamedafterthepeoplewhooccupiedVillanova 1.CremationRomaniatoSpain,PolandtoItaly Cremat
Arizona - CLAS - 340b
Lecture3:RiseoftheEtruscans1/23/2009A.Ca.675B.C.Etruscansrisetopowerandfame SomesaytheEtruscanscamefromtheWest 1.HerodotusTyrsenoiandPelasgi PelasgipeoplewhocamedownfromtheNortharound1100BC Tyresoni 2.RasennathenametheEtruscansgavethemselves 3.Atysandth
Arizona - CLAS - 340b
Lecture4:TheEtruscanNecropolisofCerveteriCerveteri- city state North of Rome (friendly with Romans) A. Agylla- 30,000 in the sixth century B.C. Used very large tombs 3 different harbors Cerveteri is Necropolis- city of the dead Tombs in the streets 675 B
Arizona - CLAS - 340b
Lecture5:EtruscanTombsofCerveteriandTarquinia A.TomboftheShieldsandChairs600550B.C.,Cerveteri Alawingsforthetomb MoundedtombsarepopularinCerveteri Shieldsarestucktothesidesofthewalls Themainburialisintheback B.TomboftheReliefsca.300B.C.,Cerveteri Located
Arizona - CLAS - 340b
Lecture7:EtruscanReligion04/02/200910:54:00A.TheMostReligiousofAncientPeoplesLivy Etruscansweresupposedtobethemostreligiousofallpeople Lookedatreflectedembodyingthesoul B.TheAthrpaMirrorHellenisticPeriod,fromPerugia,nowinBerlin Hellenisticperiodcharacte
Arizona - CLAS - 340b
Lecture8:ArchaicandClassicalEtruscanSculpture10:18:00 A.TheArchaicPeriod600500B.C. 1.ApolloofVeiipossiblybyVulcaofVeiica.500B.C. 2.TheTempleofApolloatVeii06/02/20093.Heraklesvs.ApollofortheSacredHindofArtemisinKeryneia,Argos 4.TheStyleofVeii a.Fussyri
Arizona - CLAS - 340b
Lecture9:GreekArchitectureInfluencesEtruria2/9/09 GreekDoricandIonicTemples TuscantempletookGreektempleform,butEtruscanswerelackinginstone, sotheyhadtobuildtemplesofwoodandterracotta Etruscantempleissquareanduponapodium Tuscancolumnsarenormallyunfluted
Arizona - CLAS - 340b
Lecture10:TheLastDaysofEtruria A.TheClassicalPeriod500300B.C.2/11/091.TomboftheTriclinium,Tarquiniaca.470B.C. ShowinfluenceofGreekclassicalstylefromAthens Malefiguresnolongerhavebeards Shorterhairstylesaremorepopular Handsandfeetremainlarge Draperiesha
Arizona - CLAS - 340b
MIDTERM REVIEW CLASSICS 340BPozzo and Ziro Tomb, Villanovan - Archaic I and II 1000-675 B.C.These impasto-ware urns are biconical and contained the ashes of the dead.Etruscan Hut Urn (Villanovan), Tarquinia, 9th century BCE, Terracotta- Archaic IThese
Arizona - CLAS - 340b
Timeline 1000 BCE- 330 CE1000-750 BCE Archaic IHistory Urnfield cultures ca. 1000 BCE Villanovans are thriving during this period Cremation was popular: Pozzo and Ziro Tombs Phonecians and Queen Dido arrive in Carthage around 814 BCE.Art and Architect
Arizona - CLAS - 340b
CLAS340bQuiz2ReviewVillanovans This is the general name for Iron Age inhabitants of central and northern Italy (approx 1000-700BCE). They are the forerunners of the Etruscan people. They lived in simple huts but were skilled metal workers. Originally a
Arizona - CLAS - 340b
Quiz 3 TermsThe Mute Stones Speak Chapter 4 Decumanus and cardo AD 1938 - Decumanus is an east-west street in the grid layout of Roman towns. - Cardo is a north-south street. - In 1938, Guido Calza excavated the decumanus and cardo around Ostias Imperial
Arizona - CLAS - 340b
MarcusLiciniusCrassus One of Sulla's commanders Became known in antiquity as the richest man in Rome. Argued that one could not be considered wealthy unless one could maintain an army at personal expense. Had many slaves Amassed a large amount of propert
Arizona - CLAS - 340b
Battle of Actiumshared the rule of Rome as "triumvir". In 31 BCE, after a quarrel between the two, Mark Antony and Cleopatra sent out a naval fleet which was quickly destroyed by Octavian (the Battle of Actium), who emerged the ruler of the Roman world.
Arizona - CLAS - 340b
Quiz 5 TermsBattle of Actium After Caesar was assassinated in 44 BCE, there was a long struggle for power. Octavian and Mark Antony had previously shared the rule of Rome as "triumvir". In 31 BCE, after a quarrel between the two, Mark Antony and Cleopat
Arizona - CLAS - 340b
AD 80 Colosseum - AKA the Flavian Amphitheater built by Vespasian and Titus. - A Roman amphitheater that was built over Neros lake and gardens. - Naval battles (initially), executions, and gladiatorial combat took place there.Amphitheater vs. TheaterAmp
Arizona - CLAS - 340b
Quiz 7 TermsHadrianOf Spanish heritage Ruled after Trajan, from 117-138 The Pantheon was built during his reign Excellent administrator Popularized beards!Hadrian's Villa at TivoliBuilt ca. 125 Consists of a series of individual structures Use of segm
Arizona - CLAS - 340b
Villanovan: "Villanovans" is the general name given to Iron Age inhabitants of Central and Northern Italy; they can be considered early Etruscans (spanning 1000-700BCE), but are generally thought of as a different people. They lived in simple huts, but we
Arizona - CLAS - 340b
Midterm Review Reading TermsClassics 340BTheEtruscans67530BC(assimilated) IronAgepeoplewhooccupiedRomefrom625509BC. EvolvedfromtheVillanovansintheTuscanyarea. ConsideredtobethemostreligiousoftheancientMediterraneanpeoples. TheywerefromEtruria,aconfedera
Arizona - FSHD - 450
FSHD450Spring2009 StudyGuideFINALEXAM CHAPTER11(Hill),CHAPTER10(Regan)&LECTURE4/16,4/21,4/23,4/28 CulturalInfluencesonSexualBehavior:culture,ethnicity,media,publicpolicy&contraception 1. Regancitesvariousstudiesthatshowalinkbetweenbiologicalsexandattitude
Arizona - FSHD - 450
FRIENDS WITH BENEFITS Definition: sex in a non romantic friendship. An existing friendship that has added sex that is viewed as appropriate and safe.1.Frequencyat least 50% maybe more2. Gender differencesabout equal, males 3. Males and females differ i
Arizona - FSHD - 450
Human Sexuality Notes Chapter 2Basic Principles of Ancient Judaism Overarching Premise o Principle: Preserving the integrity of aspects of the universe (especially separating the holy from the physical world) o Implication of Principle: Keep different ki
Arizona - FSHD - 450
Human Sexuality Notes Chapter 3 Same-Gender Orientation o Intimate relationships often blurred with same-gender sexual relationships o Same gender romantic friendships were universally considered to lack any genital component in times prior to the 20th c
Arizona - FSHD - 450
Chapter 7- The Sexual Self and Sexual Identity: Some people act on their sexual feelings and hook up with random guys where as others do not act on their feelings and hide them. Along with this idea, some people have motivations behind their behaviors whe
Arizona - FSHD - 450
Human Sexuality Chapter 6 Intersexuality o External sex organs are neither clearly a penis and scrotum, nor a clitoris, and labia Sex o Referring to biological distinctions between males and females o Consists of two highly related components genetic sex
Arizona - FSHD - 450
FSHD 450 SEXUALITY WITHIN THE RELATIONAL CONTEXT March 12, 2009 1. Key question: What is happening in relationships when sex occurs? 2. Range of relationships within which sex occurs from casual sex to intimacy 3. Casual Sex a. One night stands i. Some ch
Arizona - FSHD - 450
FSHD 450 Lecture outline April 2nd & 7th1. The other side of intimacy relational conflict 2. Five components of conflict a. Differences of opinion i. The big five 1. sex, attention, affection 2. tasks within the relationship 3. money 4. communication 5.
Arizona - FSHD - 450
FSHD 450 SEXUAL PROBLEMS AND DISORDERS 1. Two types of sexual disorderssexual deviations and sexual dysfunctions 2. Definitions and characteristics a. Sexual deviations are characterized by arousal in response to sexual objects that are not part of normat
Arizona - FSHD - 450
FSHD 450 Sexuality in the US in the 20th century Progressive era (1910-19) 1. Women in the work force and meaning for sexual expression a. Extensions of their family origins b. Father was predominately in control c. Then passed from Father to Husband d. T
Langara - STATS - 2225
STATISTICSFOR STATISTICSFOR MANAGEMENTANDECONOMICSSixthEditionKeller& WarrackSlidesModifiedbyEugeneLi2003Brooks/Cole, Thomson Slide1Topic4(Part2) Topic4(Part2) ExperimentalDesigns(Ch.15)s s s sAnIntroductiontoExperimentalDesign(15.3) CompletelyRand
Langara - STATS - 2225
BASICBUSINESSSTATISTICS BASICBUSINESSSTATISTICSEleventhEditionBerenson Levine KrehbielSlidesModifiedbyEugeneLiTopic3 Topic3 NonparametricTestss s sWilcoxonRankSumTest(12.6) WilcoxonSignedRanksTest(12.7) (SignTest)Slide2NonparametricTestssss s s
Langara - STATS - 2225
BASICBUSINESSSTATISTICS BASICBUSINESSSTATISTICSEleventhEditionBerenson Levine KrehbielSlidesModifiedbyEugeneLiOptionalTopic1 OptionalTopic1 InferencesAboutPopulationVariancessHypothesisTestabouttheVariancesofTwoPopulations (10.4)Slide 2HypothesisT
Langara - STATS - 2225
STATISTICSFOR MANAGEMENTANDECONOMICSSixthEditionKeller& WarrackSlidesModifiedbyEugeneLi2003Brooks/Cole, Thomson Slide 1Topic5 SimpleLinearRegression&Correlation(Ch.18)s ss s s s s s sScatterDiagrams(2.5) MeasuresofLinearRelationshipbetweenTwoVaria
Langara - STATS - 2225
BASICBUSINESSSTATISTICSEleventhEditionBerenson Levine KrehbielSlidesModifiedbyEugeneLi Slide 1Topic1(Part1) ConfidenceIntervalsaboutMeanandProportionfor OnePopulations ss s s sIntroduction IntervalEstimationofaPopulationMean: LargeSampleCase Deter
Langara - STATS - 2225
BASICBUSINESSSTATISTICS BASICBUSINESSSTATISTICSEleventhEditionBerenson Levine KrehbielSlidesModifiedbyEugeneLis ss sAnIntroductiontoAnalysisofVariance(11.1) OneWayAnalysisofVariance:Testingforthe EqualityofMorethanonePopulationMeans (11.1) MultipleC
Langara - STATS - 2225
STATISTICSFOR STATISTICSFOR MANAGEMENTANDECONOMICSSixthEditionKeller& WarrackSlidesModifiedbyEugeneLi2003Brooks/Cole, ThomsonsSlide1Topic3 Topic3 NonparametricMethodsforOnePopulation&Two Populations(Ch.17)s s sSignTest(17.3) WilcoxonSignedRankSumT
Langara - STATS - 2225
STATISTICSFOR STATISTICSFOR MANAGEMENTANDECONOMICSSixthEditionKeller& WarrackSlidesModifiedbyEugeneLi2003Brooks/Cole, Thomson Slide1Topic6 Topic6 MultipleRegression(Ch.19.14,20.3,20.5)s s s s s ss s s sTheMultipleRegressionModel RequiredConditions
Langara - STATS - 2225
BASICBUSINESSSTATISTICSEleventhEditionBerenson Levine KrehbielSlidesModifiedbyEugeneLi Slide 1Topic1(Part2) HypothesisTestingaboutMeanandProportionfor OnePopulationssss sDevelopingNullandAlternativeHypothesesandTypeI andTypeIIErrors TestsAboutaP
Langara - STATS - 2225
BASICBUSINESSSTATISTICS BASICBUSINESSSTATISTICSEleventhEditionBerenson Levine KrehbielSlidesModifiedbyEugeneLiTopic4(Part2) Topic4(Part2) ExperimentalDesigns(Ch.11)s s s sAnIntroductiontoExperimentalDesign CompletelyRandomizedDesign(11.1) Randomized
Langara - STATS - 2225
STATISTICSFOR STATISTICSFOR MANAGEMENTANDECONOMICSSixthEditionKeller& WarrackSlidesModifiedbyEugeneLi2003Brooks/Cole, Thomson Slide1Topic4(Part1) Topic4(Part1) AnalysisofVariance(Ch.15)s ssAnIntroductiontoAnalysisofVariance(15.1) OneWayAnalysisofV
Langara - STATS - 2225
BASICBUSINESSSTATISTICS BASICBUSINESSSTATISTICSEleventhEditionBerenson Levine KrehbielSlidesModifiedbyEugeneLiTopic2 Topic2 InferencesaboutMeansandProportionsWithTwo PopulationssssssEstimationoftheDifferencebetweentheMeansofTwo Populations:Indep
Langara - STATS - 2225
Stat 2225 Handout Example in Matched-Pair t-testQ12.75 on p.425. Consider the two variables (or samples) are independent:Summary Statistics New Existing -Count 20 20 Average 73.6 69.05 Variance 242.779 316.366 Standard deviation 15.5814 17.7867 -Compar
Langara - STATS - 2225
Stat 2225 Multiple Regression Example #4: Adding and Deleting Variables There were 252 men selected to see how percent body fat depends on the various measurements from the body. In this example, were interested in: Response: body percent fat (in %); (Ind
Langara - STATS - 2225
Stat 2225 Handout Examples of Sign TestQ17.54 on p.584.Hypothesis Tests for Mother-Child Sample mean = 0.26 Sample median = 0.0sign test -Null hypothesis: median = 0.0 Alternative: greater than Number of values below hypothesized median: 5 Number of va
Langara - STATS - 2225
Stat 2225 Examples for One-Sampling Tests Q12.31 on p.364 (confidence interval withSummary Statistics for Winnings Count = 15 Average = 24050.7 Standard deviation = 17386.1unknown)Histogram3 2.5frequency2 1.5 1 0.5 0 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
Langara - STATS - 2225
Stat 2225 Multiple Regression Example #1There were 252 men selected to see how percent body fat depends on the various measurements from the body. In this example, were interested in: Response: body percent fat (in %); (Independent) Variables: (1) abdome
Langara - STATS - 2225
Stat 2225 Handout Example of Wilcoxon Rank-Sum TestQ17.7 on p.569. Sample #1 Rank #1 Sample #2 Rank #2 60 1 72 3 66 2 78 6 73 4 82 8 75 5 90 9 81 7 103 10H0: the two population locations are the same Ha: the location of population 1 is to the left of th
Langara - STATS - 2225
Stat 2225 Handout Example of Wilcoxon Signed Rank Sum TestQ17.55 on p. 584.Male8 6 5Histogramfrequency4 0 4 8 28 30 32 34 36 38 (X 1000)frequency4 3 2 1 0 -2 -1 0 1 2 (X 1000)FemaleMale-FemaleHypothesis Tests for Male-Female Sample mean = -206.
Langara - STATS - 2225
Stat 2225 Handout Inference for Two Independent Populations Q13.39 on p.410Summary Statistics Drug Exercise -Count 25 25 Average 9.92 13.52 Variance 13.16 5.76 Standard deviation 3.62767 2.4 Minimum 4.0 7.0 Maximum 16.0 19.0 -Comparison of Means -95.0%
Langara - STATS - 2225
Stat 2225 Multiple Regression Example #2: Adjusted R2The following shows that amount paid out in claims per policy for collision insurance in New Brunswick from 1971 1980. Year Code (Year 1975.5) Loss Cost 1971 -4.5 45.13 1972 -3.5 51.71 1973 -2.5 60.17
Langara - STATS - 2225
Stat 2225 Handout One-Way ANOVA Example Q15.65 on p. 522. Want to see if the burning time (response variable) is different among four brands (explanatory variable) of road flares.ANOVA Table Analysis of Variance -Source Sum of Squares Df Mean Square F-Ra
Langara - STATS - 2225
Stat 2225 Handout Two-Way ANOVA Example Q15.49 on p. 510. Want to see if the whiteness scores depend on the brand of detergent (reduced to three brands from five brands originally) and the temperature in which the detergent is used (cold, warm and hot). C
Langara - STATS - 2225
Stat 2225 Handout Simple Linear Regression ExampleQ18.7 on p.614. Does the final exam mark (out of 100) depend on the average amount of time (hours?) one studies?Regression Analysis - Linear model: Y = a + b*X -Dependent variable: Mark Independent varia
Langara - STATS - 2225
Stat 2225 Multiple Regression Example #3: Categorical Variables Assessed Value (in $1,000) 84.4 77.4 75.7 85.9 79.1 70.4 75.8 85.9 78.5 79.2 86.7 79.3 74.5 83.8 76.8 Heating Area (in square metres) 185.8 158.9 134.7 163.5 179.3 111.5 144.0 179.3 147.7 139