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Test Bank For Biology: Concepts and Applications 10th Edition by Cecie Starr, Christine Evers, Lisa Starr

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Test Bank For Biology: Concepts and Applications 10th Edition by Cecie Starr, Christine Evers, Lisa Starr

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TestmBankmFormBiology:mConceptsmandmApplicationsm10thmEditionmbymCeciemStarr,mChristinemEvers,mLisamS
tarr




Exhibitm1-1
Amscientistmrandomlymdividedmamgroupmofm100mlabmratsmintomtwomgroupsmofm50.mOnemgroupmwasmfedmregul
armratmchowmwhilemthemothermwasmfedmthemsamemamountmofmratmchowmwithmaddedmDDT.mBothmgroupsmwere
mhousedminmthemsamemroommwithmthemsamemenvironmentalmconditions.mAtmthemendmofmthemexperiment,mrats
mweremweighedmandmthemmeanmdifferencemcalculated.




28. Refermtomthemaccompanyingmnarrative.mWhatmvariablemormvariablesmweremmanipulatedmbymthemscientist?
a. DDTmonly
b. temperaturemonly
c. weightmdifferencesmonly
d. bothmDDTmandmweightmdifferences
e. bothmtemperaturemandmweightmdifferences
ANSWER: a
POINTS: 1
REFERENCES: Sectionm1.5mHowmdoesmsciencemwork?
LEARNINGmOBJECTIVES: BCA.SES.1.5.3m-
mUsingmamsuitablemexample,mdistinguishmbetweenmdependentm
andmindepende
ntmvariables.
KEYWORDS: Bloom's:mApplym|mAnalyze


29. Refermtomthemaccompanyingmnarrative.mWhatmdependentmvariablemwasmmeasured?
a. DDT
b. temperature
c. weight
d. amountmofmfood
e. daymlength
ANSWER: c
POINTS: 1
REFERENCES: Sectionm1.5mHowmdoesmsciencemwork?
LEARNINGmOBJECTIVES: BCA.SES.1.5.3m-
mUsingmamsuitablemexample,mdistinguishmbetweenmdependentm
andmindepende
ntmvariables.
KEYWORDS: Bloom's:mApply


30. Inmordermtomreducembias,mscientistsmusuallymprefermexperimentsmthatmleadmtomwhatmkindmofmresults?
a. ambiguous
b. imprecise
c. quantitative
d. qualitative

TestmBan Pagem10
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, TestmBankmFormBiology:mConceptsmandmApplicationsm10thmEditionmbymCeciemStarr,mChristinemEvers,mLisamS
tarr



e. subjective




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, TestmBankmFormBiology:mConceptsmandmApplicationsm10thmEditionmbymCeciemStarr,mChristinemEvers,mLisamS
tarr




ANSWER: c
REFERENCES: Sectionm1.7mWhatmaremsomempotentialmpitfallsminmscientificminquiry?
LEARNINGmOBJECTIVES: BCA.SES.1.5m-mExplainmthemscientificmmethod.
KEYWORDS: Bloom's:mUnderstand


31. Supposemthatminmanmexperiment,mdifferentmresultsmaremobtainedmfrommamsubsetmthanmthemresultsmobta
inedmfrommthemwhole.mWhatmtermmwouldmbestmexplainmthis?
a. probability
b. trend
c. variable
d. statisticallymsignificant
e. samplingmerror
ANSWER: e
POINTS: 1
REFERENCES: Sectionm1.7mWhatmaremsomempotentialmpitfallsminmscientificminquiry?
LEARNINGmOBJECTIVES: BCA.SES.1.7.2m-mHowmcanmsamplingmerrormbemminimized?
KEYWORDS: Bloom's:mUnderstand
NOTES: Modified


32. Anmexperimentermsurveyedmone-
halfmacremofmamdesertmpreservemandmfoundmthreemcactusmwrenmnests.mAssumingmthatmthemhabitatmismfairlym
uniform,mhowmmanymnestsmwouldmhemexpectmtombeminmthementirem200-acrempreserve?
a. 6
b. 200
c. 600
d. 1200
e. 6000
ANSWER: d
POINTS: 1
REFERENCES: Sectionm1.7mWhatmaremsomempotentialmpitfallsminmscientificminquiry?
LEARNINGmOBJECTIVES: BCA.SES.1.7.3m-
mWhenmaremexperimentalmresultsmsaidmtombemstatisticallymsignificant?
KEYWORDS: Bloom's:mApply


33. Anmexperimentalmresultmthatmismstatisticallymsignificantmis:
a. likelymtomoccurmbymchancemalone
b. unlikelymtomoccurmbymchancemalone
c. scientificallymsignificantmormimportant
d. themresultmofmanmexperimentmwithmonlymonemvariable
e. influencedmbymsamplingmerror

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ANSWER: b




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