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    IBHL

    &

    AP

    CHEMISTRY

    InternalAssessment

    STUDENTGUIDE

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    2 | P a g e | IB (IA) Student Guided

    INTERNALASSESSMENT(IA)

    IntroductionTheInternalAssessment(IA)consistsofaninterdisciplinaryproject,amixtureofshort andlongterminvestigations(suchaspracticalsandsubjectspecific

    projects).StudentworkisinternallyassessedbytheteacherandexternallymoderatedbytheIBO.TheperformanceinIAisjudgedagainstassessmentcriteria

    eachconsistingofachievementlevels03.

    IATimeAllocationHigherlevelstudentsarerequiredtospend60hours,onpracticalactivities(excludingtimespentwritingupwork).Thesetimesinclude10to15hoursforthe

    group4project.Only23hoursofinvestigativeworkcanbecarriedoutafterthedeadlineforsubmissionofworktothemoderatorandstillbecountedinthe

    totalhoursforthepracticalschemeofwork.

    CriteriaandAspectsTherearefiveassessmentcriteriathatareusedtoassesstheworkofbothSLandHLstudents.

    DesignD

    DatacollectionandprocessingDCP

    ConclusionandevaluationCE

    ManipulativeskillsMS

    PersonalskillsPS

    Thefirstthreecriteriadesign(D),datacollectionandprocessing(DCP)andconclusionandevaluation(CE)areeachassessedtwice.Manipulativeskills(MS)

    areassessed

    summatively

    over

    the

    whole

    course

    and

    the

    assessment

    should

    be

    based

    on

    awide

    range

    of

    manipulative

    skills.

    Personal

    skills

    (PS)

    are

    assessed

    onceonlyandthisshouldbeduringthegroup4project.Eachoftheassessmentcriteriacanbeseparatedintothreeaspectsasshowninthefollowingsections.

    Descriptionsareprovidedtoindicatewhatisexpectedinordertomeettherequirementsofagivenaspectcompletely(c)andpartially(p).Adescriptionisalso

    givenforcircumstancesinwhichtherequirementsarenotsatisfied,notatall(n).Acompleteisawarded2marks,apartial1markandanotatall0

    marks.Themaximummarkforeachcriterionis6(representingthreecompletes).

    D2= 12

    DCP2=12

    CE2= 12

    MS1= 6

    PS1= 6

    Thismakesatotalmarkoutof48.

    Themarksforeachofthecriteriaareaddedtogethertodeterminethefinalmarkoutof48fortheIAcomponent.ThisisthenscaledatIBCAtogiveatotaloutof24%.

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    LaboratoryExperimentGradingRubric

    Name__________________________________________________ Block_______________Date:__________________Hours:_______________

    Titleof

    Experiment:

    _________________________________________________________

    Topic

    ____________________________________________

    AssessmentCriteriatobeGraded

    MS DCP CE D

    X

    ManipulativeSkills

    Complete/2 Partial/1 Notatall/0 Earned

    Following

    instructions

    Followsinstructionsaccurately,

    adaptingtonewcircumstances

    (seekingassistancewhenrequired).

    Followsinstructionsbutrequires

    assistance.

    Rarelyfollowsinstructionsorrequires

    constantsupervision.

    Carryingout

    techniques

    Competentandmethodicalinthe

    useofarangeoftechniquesand

    equipment.

    Usuallycompetentandmethodicalin

    theuseofarangeoftechniquesand

    equipment.

    Rarelycompetentandmethodicalin

    theuseofarangeoftechniquesand

    equipment.

    Workingsafely Paysattentiontosafetyissues. Usuallypaysattention

    tosafetyissues.

    Rarelypaysattentiontosafetyissues.

    Suggested

    Improvements

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    4 | P a g e | IB (IA) Student Guided

    DataCollectionandProcessing

    Complete/2 Partial/1 Notatall/0 Earned

    Recordingraw

    data

    Recordsappropriatequantitative

    andassociatedqualitativerawdata,

    includingunits

    and

    uncertainties

    whererelevant.

    Recordsappropriatequantitativeand

    associatedqualitativerawdata,but

    withsome

    mistakes

    or

    omissions.

    Doesnotrecordanyappropriate

    quantitativerawdataorrawdatais

    incomprehensible.

    Processingraw

    data

    Processesthequantitativerawdata

    correctly.

    Processesquantitativerawdata,but

    withsomemistakesand/oromissions.

    Noprocessingofquantitativerawdata

    iscarriedoutormajormistakesare

    madeinprocessing.

    Presenting

    processed

    data

    Presentsprocesseddata

    appropriatelyand,whererelevant,

    includeserrors

    and

    uncertainties.

    Presentsprocesseddataappropriately,

    butwithsomemistakesand/or

    omissions.

    Presentsprocesseddata

    inappropriatelyorincomprehensibly.

    Suggested

    Improvements

    ConclusionandEvaluation

    Complete/2 Partial/1 Notatall/0 Earned

    Concluding Statesaconclusion,withjustification,

    basedon

    areasonable

    interpretation

    ofthedata.

    Statesaconclusionbasedona

    reasonableinterpretation

    of

    the

    data.

    Statesnoconclusionortheconclusion

    isbased

    on

    an

    unreasonable

    interpretationofthedata.

    Evaluating

    procedure(s)

    Evaluatesweaknessesand

    limitations.

    Identifiessomeweaknessesand

    limitations,buttheevaluationisweak

    ormissing.

    Identifiesirrelevantweaknessesand

    limitations.

    Improvingthe

    investigation

    Suggestsrealisticimprovementsin

    respectofidentifiedweaknessesand

    limitations.

    Suggestsonlysuperficial

    improvements.

    Suggestsunrealisticimprovements.

    Suggested

    Improvements

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    Design

    Complete/2 Partial/1 Notatall/0 Earned

    Definingthe

    problem

    andselecting

    variables

    Formulatesafocused

    problem/researchquestionand

    identifiesthe

    relevant

    variables.

    Formulatesaproblem/research

    questionthatisincompleteor

    identifiesonly

    some

    relevant

    variables.

    Doesnotidentifyaproblem/research

    questionanddoesnotidentifyany

    relevantvariables.

    Controlling

    variables

    Designsamethodfortheeffective

    controlofthevariables.

    Designsamethodthatmakessome

    attempttocontrolthevariables.

    Designsamethodthatdoesnotcontrol

    thevariables.

    Developinga

    method

    for

    collection

    of

    data

    Developsamethodthatallowsfor

    thecollectionofsufficientrelevant

    data.

    Developsamethodthatallowsforthe

    collectionofinsufficientrelevant

    data.

    Developsamethodthatdoesnotallow

    foranyrelevantdatatobecollected.

    Suggested

    Improvements

    earned points 20 = points

    total possible points =____________ assessmentcriteriapoints

    NeatandCorrectFormat=5points

    LaboratoryNotes=5points

    DataCollection&Processing=10points

    ConclusionandEvaluation=10points

    AssessmentCriteria=20points

    TOTAL

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    TypedLaboratoryReportFormat

    TypedReportessentials

    (Top

    left)

    Name Topic

    (Top

    right)

    Date(month/day/year) NumberofHours

    (

    Title

    Centeronlineafterheading Descriptiveandoriginal

    I. Introduction

    ResearchQuestion/Problemstatement Hypothesis Variables

    II.Procedures&Materials

    Materials/Apparatus Procedure Diagramofsetup

    III.DataCollectionandPresentation

    Observations DataTable

    IV.DataProcessingandPresentation

    Calculations Graphs Diagrams

    V.Conclusion

    and

    Evaluation

    Conclusion Compareresultstotheliterature Evaluationofprocedure Weaknessesandrealisticsuggestiontoimproveexperiment

    Jane Smith February 2, 2008Stoichiometry 2 hours

    HYDRATESI. IntroductionII. Procedure and MaterialsIII. Data CollectionIV. Data Processing:V. Conclusion and Evaluation:

    TitlethesectionsIthroughVinyourreport.

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    DATACOLLECTION

    Aspects Comments

    Recordsappropriaterawdata(qualitativeand/orquantitative),includingunitsanduncertaintieswherenecessary.

    RecordALLrelevantdataandobservations Includequantitativedata(e.g.,measurementsoftemperature,mass,volume,absorbance,pressureall

    withtheappropriateunits)

    Includequalitativeobservations(e.g.thefinalcolorattheendpointwasafaintpink,duringthereaction,thebrominewaterchangedfrombeingabrightyellowtosolutionofnocolor).

    Reportanychangesinprocedureorunusualconditions. Alldatarecordedshouldbetothegreatestpossiblenumberofsignificantfiguresthattheaccuracyofthe

    equipmentallows.

    Consideruncertaintiesanderrorsinyourmeasurementsanddealwithitproperly(SeeAppendixA)Presentsrawdataclearly,allowingforeasyinterpretation Makesurethatsomeoneelsecouldunderstandexactlywhatyourdatameans. Do not include deductions/ interpretations/inferences, although you may find it easier to present

    deductionsandinterpretationsalongsidetheobservations.

    Yourpresentationshouldbemethodicalandlogical. Alltablesandgraphsshouldbeclearlyidentifiedandlabeled.

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    Comparedirectionandmagnitudeofpossibleerrorswiththeobservederror. Sourcesoferrorsuchasspillsshouldhavebeennotedinobservations.

    Limitationsofconclusions

    Aretestsconclusive?Areotherinterpretationspossible? Takeaccountofmagnitudesoferrorsanduncertaintiesinconsideringthereliabilitiesandlimitationsofconclusions.

    SuggestionsforImprovement

    Suggestimprovementsorfixesfortheweaknessesyouidentifiedintheprevioussection. Thesesuggestionsshouldberealistic,keepinginmindthetypeof

    equipmentnormallyfoundinhighschoolorcollegegeneralchemistrylabs. Suggestionsshouldfocusonspecificpiecesofequipmentortechniquesyouused.

    (VaguecommentssuchasWeshouldhaveworkedmorecarefullyorIshouldhavebeengivenabettercalorimeterwon'tcutit!Foridentifiedweaknesses,

    suggestimprovements

    Suggestionsshouldberealistic,notinvolvingunavailableequipment Suggestionsshouldbespecific(notmorecarefulwork) Proposedchangesmaydoanyorallofthefollowing Eliminateorreduceerrors Improvecontrolofvariables Reduceapproximations Provideotherproceduresforbettermeasurements. Stateifmodificationsareunnecessaryorimpossible(standardproceduresused)

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    DESIGN:Aspects Comments

    Formulatesafocused

    problem/research

    questionandidentifies

    therelevant

    variables.

    Expectanopenendedproblemfromtheteacher

    Usethetitle"researchquestion Donotjustrepeattheteacherstitle Indicatewhatspecificaspectofthe

    generalproblemyouwillbe

    investigating

    Hypothesisisatestablestatementthatpredictstherelationshipofthe

    independent

    and

    dependent

    variables.

    Itshouldbespecificanddetailedusingscientificknowledge.

    Thisshouldbequantitativeifyou'rehypothesiscallsforit.(Forhigherlevel,youmaybeexpectedtogointoquantitativedetails)

    Usuallyintheformifyisdone,thenzwill

    occur

    Itshouldbeaslongasisneeded.Designsamethodforthe

    effectivecontrolofthe

    variables. Independentvariable isthevariable

    thatyouchange

    Dependentvariable isthevariablethatrespondstowhatyouhave

    alreadychanged

    Controlledvariables arethevariablesthatremainthesame,thethingsthat

    youfixinordertomaintainafairtest.

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    DESIGN

    Aspects Comments

    Controllingvariables

    Develops

    amethod

    that

    allowsforthecollectionofsufficientrelevant

    data.

    Includeacomprehensivelistofeverythingthatyouuse apparatus,chemicals,reagentsetc. Yourlistmustincludeunits,uncertainty,sizesandaccurateconcentrations Drawadetaileddiagramofanysetup

    Writethedetailsofaprocedureinchronologicalordernumberlistorparagraphform. Statepreciselyhowyouwillvarytheindependentvariable Statehowyouaregoingtomeasureorobservethedependentvariable Indicatehowmanyreplicateswillbemade. Itisalsoimportanttooutlinewhyoneapproachistakenversusanother,ifappropriate Stateclearlyandexactlywhatyouwilldosothatanyotherstudentcouldfollowyourplan Statewhatnumberandrangeofmeasurementsyouwilluse Includehowmanydifferentandsuitablereadingsyouneed Takeintoaccountthefactthatyouaretryingtocollectpreciseandreliabledata

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    TreatmentofErrorandUncertaintyinChemistryMeasurements/HowtodoErrorAnalysisaselfteachingguide

    1. Inscience,wearealwaysseekingtobetterunderstandtheworldaroundus. Wedothisbydesigningandcarryingoutexperimentsaccordingtothescientific

    method. Andintheseexperiments,weareoftenconcernedwithmeasuringsomethingcomingupwithanumericalvalueforsomepropertyorbehaviorwe

    observe. Eventually,ifwecaninterpretandmakesenseofallthesemeasurements,wemightproposeascientificlawthatallowsustopredictthevaluesin

    futurecases

    without

    actually

    having

    to

    conduct

    the

    experiment

    each

    time.

    2. Butittakesworkandeffort,oftentrialanderror,todesigngoodexperiments. Andeveninawelldesignedexperiment,itisimpossibletomakeabsolutely

    perfectmeasurements. Therearetwotypesoferrororuncertaintythatwillalwayslimittheprecisionandtheaccuracyofourresults. Thetwotypesarecalled

    randomerrorandsystematicerror.

    1. Randomerrors relatedintakingmeasurementsonimperfecttools(balances,cylinders,etc) canbeestimatedandthedegreeoferrorcanbecalculated. arerelatedtoinsufficientlycontrolledvariationsinexperimental

    conditions

    Affectprecision,butnotaccuracy Cannotbeeliminated

    2. Systematicerror Usuallyarerelatedtoimproperexperimentaldesignoradjustmentofexperimentalapparatus. Sometimerelatedtoaparticularmethod. Theseerrorssystematicallydistorttheobservations. donotaffectprecision,andcan,intheory,beeliminated.

    Examples:

    Stickingorleakinggassyringes. CalibrationerrorsinpHmeters. Stopclockrunninglow. Changesinexternalinfluencessuchastemperatureandatmosphericpressureaffectthemeasurementofgasvolumes,etc. Personalerrorssuchasreadingscalesincorrectly. Unaccountedheatloss. Liquidsevaporating.

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    USINGSIGNIFICANTFIGURES

    Thenumberofsignificantfiguresinanumericalresultisanindicationoftheacceptederrorinanumber.Incountingthenumberofsignificantfiguresthe

    problemisthedigitzero(0).Therearefiverulesusedincountingthenumberofsignificantfiguresinanumber:

    1.Allnonzerodigitsaresignificant,

    e.g.,12.3hasthreesignificantfiguresand549hasthreesignificantfigures.

    2.Zeros

    between

    non

    zero

    digits

    are

    significant,

    e.g.,1.03hasthreesignificantfiguresand4023hasfoursignificantfigures.

    3.Zerosattheendofanumberaresignificant,

    Fornumberswithdecimalpoints,zerostotherightofanon zerodigitaresignificant.E.g.,2.00hasthreesignificantfigures,but0.050hastwo(the5&

    0inthesecondandthirddecimalplaces).

    4.Zerostotheleftofthefirstnonzerodigitarenotsignificant,e.g.,0.84hastwosignificantfigures:eightandfour.Thezeroistermedaplaceholder,

    meaningthezeroisnotpartofthemeasurement,i.e.,itisnotsignificant.

    5.Zerosattheendofanumberwithoutadecimalpointareambiguous,

    e.g.,80

    may

    have

    two

    significant

    figures

    or

    it

    may

    have

    one

    the

    eight

    with

    the

    zero

    being

    aplace

    holder.

    Only

    the

    person

    who

    carried

    out

    the

    measurementwouldknow.Theambiguitycanberemovedbyreportingsuchnumbersinscientificorstandardnotation.Writing80as8101meansthat

    onlyonesignificantfigureispresent,whilewritingitas8.0101

    meansthattwosignificantfiguresarepresent.

    6.Manyphysicalconstants,haveaverylargenumberofdigits,e.g.,thespeedoflightinavacuum,c(299792458ms1).(assumeinfinite)

    7.Mathematicalconstants,e.g.,anumbersuchaspi( )hasaninfinitenumberofdigits

    8.Logarithmscanonlyretainintheirmantissathesamenumberofsignificantfiguresasthereareinthenumberwhoselogarithmyouaretaking.

    ROUNDINGOFF

    Sometimesit

    is

    necessary

    to

    round

    off,

    to

    give

    the

    correct

    number

    of

    significant

    figures.

    1.Adigitof5orlargerroundsup.

    2.Adigitsmallerthan5roundsdown.

    Forexample,rounding13.654tothreesignificantfiguresgives13.7(the4isignored,the5roundsup). Forexample,rounding13.246tothreesignificantfiguresgives13.2(the6isignored,the4roundsdown).

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    WORKEDEXAMPLE

    Inanexperimenttomeasuretheenthalpychangeofreactionthefollowingmeasurementsweremade:

    massofwater=58.0000.0005g

    temperaturechangeofwater=12.50.05C

    Heatreleased

    =mass

    of

    water

    specific

    heat

    capacity

    of

    water

    change

    in

    temperature

    =58.000g4.184Jg1C112.5C=3033.4J

    Thetemperaturechangewastheleastprecisemeasurement(threesignificantfigures)sotheresultcannotbeexpressedashavingmorethanthreesignificant

    figures.Thereforetheansweris3030Jor,betterstill,3.03103Jandnot3033.4J.

    Itisunacceptabletoreportvalueswithmoresignificantfiguresthanindicatedbytheassociateduncertainty. Forexample,in8.370.2cmthesevenhasno

    meaningandthelengthshouldbereportedas8.30.2cm.

    TREATMENTOFUNCERTAINTIESINCALCULATIONS

    Duringan

    experiment

    there

    will

    be

    anumber

    of

    uncertainties

    which

    will

    have

    to

    be

    considered

    to

    give

    the

    overall

    uncertainty.

    This

    is

    known

    as

    the

    propagation

    ofuncertainties.

    1. ADDINGORSUBTRACTINGMEASUREDQUANTITIESWITHASSOCIATEDUNCERTAINTIES

    Themaximumabsoluteuncertaintyisthesumoftheindividualuncertainties

    Dealingwithuncertaintieswhenonevalueisbeingsubtractedfromanother

    WORKEDEXAMPLE

    Ifthevaluesoftwotemperaturesare36.30.1Cand56.30.1C,findthedifference.

    Wefirst

    subtract

    the

    nominal

    values

    (56.3

    36.3)

    =20.0

    C.

    Then,theabsoluteuncertaintiesare0.1and0.1,soweaddthese,(0.1+0.1)=0.2.

    Thefinalansweris20.00.2C.

    Dealingwithuncertaintieswhenonevalueisbeingaddedtoanother

    WORKEDEXAMPLE

    Ifthevaluesoftwotemperaturesare36.30.1Cand56.30.3C,findthesum.

    Wefirstaddthenominalvalues(56.3+36.3)=92.6C.

    Theabsolute

    uncertainties

    are

    0.3

    and

    0.1,

    so

    we

    add

    these,

    0.3

    +0.1

    =0.4.

    Thefinalansweris92.60.4C.

    Theruleforbothexamplesaboveistoaddabsoluteuncertainties.

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    2. MULTIPLYINGORDIVIDINGMEASUREDQUANTITIESWITHASSOCIATEDUNCERTAINTIES

    Ifuncertaintiesaretobemultipliedordividedthenpercentageuncertaintieshavetobeused(totakeintoaccountthatthephysicalquantitieswillhave

    differentunits).Themaximumpercentageuncertaintyisthesumofthepercentageuncertaintiesforeachoftheindividualquantities.

    WORKEDEXAMPLE

    Ifwe

    want

    to

    calculate

    the

    power

    developed

    during

    an

    energy

    change

    of

    44.01

    0.05

    J,

    and

    the

    time

    over

    which

    it

    occurred,

    namely

    2.10

    0.05

    s,

    we

    :1.takeeachoftheuncertainties,

    2.divideitbythegivenvalue,andthen,

    3.multiplyby100toobtainapercentage.

    Inthiscase,for44.010.05Jwehave:0.05

    100 = 0.11%44.01

    For2.10

    0.05

    swe

    have:

    0.05

    100 = 2.38%2.10 Thetwopercentageuncertaintiesarethenadded:(0.11%+2.38%)=2.49%

    So,-1(44.01 0.05) J 44.01= 2.49% = 20.96 Js 2.49

    (2.10 0.05) s 2.10

    Now,wedetermine2.49%of20.96:2.49

    20.96 = 0.52100

    So,ourfinalansweris,20.960.52Js1or(20.960.52)Js1.

    Notethat

    the

    relative

    uncertainty

    must

    be

    converted

    back

    into

    an

    absolute

    uncertainty:

    i.e.,21Js12.5%=0.52,buttoonesignificantdigiti.e.0.5sinceuncertaintiesarethemselvesapproximateandarenotgiventomorethanonesignificant

    figure.

    Therefore.1(44.01 0.05) J = 21.0 0.5Js

    (2.10 0.05) s

    Theruleistoconverttheabsoluteuncertaintiestopercentageuncertainties,thenconvertthem

    backtoanabsoluteuncertaintyafterthecalculation.

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    WORKEDEXAMPLE(THERMOCHEMISTRY)

    Theheatcapacityofacoppercanis501JK1andinanexperimentatemperatureriseof4.00.2Cisobtained.

    Theuncertaintyintheheatcapacityis1JK1,inpercentageterms=.1

    100 = 2 %50

    Thepercentage

    uncertainty

    in

    the

    temperature

    reading

    is

    0.2

    100 = 5 %4.0 So,themaximumpercentageuncertaintyis(2%+5%)=7%

    Now,heatenergyreleased =heatcapacityofcoppercantemperaturerise

    =(504.0)J7%=2007%=(20014)J

    (Note,7%of200is14.)

    Theanswerisbestexpressedinscientificnotation:(2.00.14)102J=(2.00.1)102J

    BASICRULESFORPROPAGATIONOFUNCERTAINTIES

    Rule Example1 Whenaddingorsubtractinguncertainvalues,addtheabsolute

    uncertainties

    Initialtemp.=34.50C(0.05)FinalTemp.=45.21C(0.05)

    T=45.21 34.5=10.71C

    (0.05+0.05=0.1C)

    Tshouldbereportedas

    10.70.1C

    2

    Whenmultiplying

    or

    dividing

    add

    the

    percentage

    uncertainties

    Mass

    =9.24

    g(0.005g)

    Volume=14.1cm3(0.05cm3)

    a Makecalculations Density=9.24/14.1=0.655g/cm3

    bConvertabsoluteuncertaintiestopercentage/fractional/

    relativeuncertainties

    Mass:0.005/9.24x100=0.054%

    Vol:0.05/14.1x100=0.35%

    c Addpercentageuncertainties0.054+0.35=0.40%

    Density=0.655g/cm3(0.40%)

    d Converttotaluncertaintybacktoabsoluteuncertainty0.655*0.4/100=0.00262

    Density=0.6550.003g/cm3

    3 Multiplyingordividingbyapure(whole)number:

    multiplyordividetheuncertaintybythatnumber. 4.950.05x10=49.50.5

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    4 Powers:

    Whenraisingtothenthpower,multiplythe%uncertaintybyn.

    Whenextractingthenthroot,dividethe%uncertaintybyn.

    (4.3.5cm)3=4.33(.5/4.3)*3

    =79.5cm3(0.349%)

    =79.50.3cm3

    5 Graphing

    Graphingis

    an

    excellent

    way

    to

    average

    arange

    of

    values.

    When

    arange

    of

    values

    is

    plotted

    each

    point

    should

    have

    error

    bars

    drawn

    on

    it.

    The

    size

    ofthebariscalculatedfromtheuncertaintyduetorandomerrors.Anylinethatisdrawnshouldbewithintheerrorbarsofeachpoint.

    Ifitisnotpossibletodrawalineofbestfitwithintheerrorbarsthenthesystematicerrorsaregreaterthantherandomerrors.

    Rate of Reaction

    0

    2

    4

    6

    8

    10

    12

    14

    16

    0 1 2 3 4 5 6

    time (seconds)

    concentration(Molarity)

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    PrecisionandUncertaintiesforCommonLabEquipment

    Whenyourecordascientificmeasurement,thelastdigitthatyourecordisunderstoodtohavesomeuncertainty,andtobeyourbestestimate. Whenreading

    nonelectronicdevicessuchasrulers,thermometers,andglassware,thegeneralruleofthumbisto"readbetweenthelines"! Thismeansthatyoucanestimateonemoredigitordecimalplacethanthedeviceismarked. ButthisruledoesNOTAPPLYtoelectronicequipment(suchasabalanceorelectronicthermometer)whichgivesyouadirectdigitalreadout. Forthesedigitaldevices,yourteacherwillprovideyoutheprecisionoftheinstrument.

    Thefollowing

    uncertainties

    apply

    to

    careful

    measurements

    made

    by

    atrained

    observer:

    Length(commonmetricrulers): +/ 0.01cm(or0.1mm)

    Mass(electronicbalances): always+/ oneunitinthelastdigit. Thismeansthatacommoncentigrambalanceis+/ 0.01grams;amilligrambalance+/ 0.001

    grams.

    VolumetricGlassware

    10mLgraduatedcylinder: +/ 0.02mL(alwaysrecordto2decimalplaces) 25mLgraduatedcylinder: +/ 0.1mL(alwaysrecordto1decimalplaces) 100mLgraduatedcylinder: +/ 0.5mL(alwaysrecordto1decimalplace) 500mLgraduatedcylinder: +/ 5mL 50mLburet: +/ 0.02mL(alwaysrecordto2decimalplaces) 10mLgraduatedpipet:+/ 0.01mL (alwaysrecordto2decimalplaces) Fixedvolumepipets(glass): +/ 0.2%ofthecapacity (Ex: 25mL=+/ 0.05mL)

    BeakersandFlasks: Approximately5%ofthecapacity. (Butofcourse,youwouldneveruseoneofthesetomeasureapreciseamountofliquid,wouldyou?)

    Thermometer

    (alcoholormercury): +/ 0.2oC TICBLtemperatureprobe: +/ 0.1oC

    pHMeasurements

    pHpaper: +/ 1pHunit (pHpapergivesa"quickanddirty"estimate) TICBLpHprobe: +/ 0.1pHunits(eventhoughitreadsoutto0.01).

    pressure

    TICBLpressureprobe: +/ 2kPa(eventhoughitmayreadouttodecimalplaces)

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    GROUP4PROJECT

    TheGroupIVProjectistoemphasizeinterdisciplinarycooperationandtheprocessesinvolvedinscientificinvestigationratherthantheproductsofsuchinvestigation.Ascientificinvestigationrequiresthataproblemshouldbeidentified.Ananswer(hypothesis)isproposedandresearchtakesplacetotest

    thevalidityofthehypothesis.Scientificresearchshouldbemethodicalandlogical.

    INTERDISCIPLINARY

    Allthesciencesareinvolved(i.e.alltheIBstudents)

    Allwillbeworkingonthesametheme.

    Allwillbeinvestigatingthesameproblemfromdifferentperspectives.

    TEAMWORK

    Youwillbeworkingaspartofateamof3to4students.Thismeansthatyourpersonalskillswillbetested.

    PersonalSkillsGroup4Project

    Complete/2

    Partial/1

    Notat

    all/0

    Earned

    Selfmotivation

    and

    perseverance

    Approachestheprojectwithself

    motivationandfollowsitthrough

    tocompletion.

    Completestheprojectbutsometimes

    lacksselfmotivation.

    Lacksperseveranceandmotivation.

    Workingwithina

    team

    Collaboratesandcommunicatesina

    groupsituationandintegratesthe

    views

    of

    others.

    Exchangessomeviewsbutrequires

    guidancetocollaboratewithothers.

    Makeslittleornoattemptto

    collaborateinagroupsituation.

    Selfreflection Showsathoroughawarenessof

    theirownstrengthsandweaknesses

    andgivesthoughtfulconsideration

    totheirlearningexperience.

    Showslimitedawarenessoftheir

    ownstrengthsandweaknessesand

    givessomeconsiderationtotheir

    learningexperience.

    Showsnoawarenessoftheirown

    strengthsandweaknessesandgivesno

    considerationtotheirlearning

    experience.

    WHATKINDOFPROBLEM?

    Thechoiceofproblemtoinvestigateshouldhavemoral,ethical,social,economicorenvironmentalimplications. Itshouldbeaproblemwhichprovidesenough

    scopeforallthedifferentsciencegroups.

    WHATKINDOFPROJECT?

    Theprojectwillbeselectedbythestudents.Itisyouridea.

    Needlesstosaytheteacherswillbeonhandtogiveadviceconcerningfeasibilityintermsoftimeandmaterials,safetyandethics.

    Theprojectmayhaveahandsonpracticalactionphaseoroneinvolvingpurelytheoreticalaspects.Itcouldbeundertakeninawiderangeofways.

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    24 | P a g e | IB (IA) Student Guided

    Sources:

    http://occ.ibo.org ChemistryGuide,InternalAssessment

    http://occ.ibo.org ChemistryResourcebyRuthSanderson

    http://occ.ibo.org ChemistryResourcebyJulieSykes

    http://home.comcast.net/~christylthomas/aplaberrors.pdf#search='types%20of%20errors%20chemistry'

    http://dbhs.wvusd.k12.ca.us/webdocs/SigFigs/SigFigRules.html

    http://www.colby.edu/chemistry/PChem/scripts/error.html

    http://www.mwiseman.com/courses/chem_ib/units/unit01.jsp;APChemistryLabManualPalmHarbor

    UniversityHS,Florida;Chem%20Lab%20Manual%20Sample%20Pages;t

    teacherweb.capousd.org/custom/WMRedding/Internal%20Assessment%20Guide.doc