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LS15 MIDTERM - UCLA Phelan Exam Questions with 100- Correct Answers Verified Updated 2024. $12.49   Add to cart

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LS15 MIDTERM - UCLA Phelan Exam Questions with 100- Correct Answers Verified Updated 2024.

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LS15 MIDTERM - UCLA Phelan Exam Questions with 100- Correct Answers Verified Updated 2024.LS15 MIDTERM - UCLA Phelan Exam Questions with 100- Correct Answers Verified Updated 2024.LS15 MIDTERM - UCLA Phelan Exam Questions with 100- Correct Answers Verified Updated 2024.LS15 MIDTERM - UCLA Phelan Ex...

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  • September 7, 2024
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  • LS 15
  • LS 15
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LucieLucky
LS15 MIDTERM - UCLA Phelan Exam Questions with 100%
Correct Answers Verified Updated 2024



1. iScientific ithinking, iwhat iis iit ifor? iand ibe iable ito iuse iit i- iAnswer i- i i i



scientific ithinking i- iAnswer i- i i i- iempirical i(based ion iobservations iand iexperiences inot isolely ilogic)

- iself icorrecting

- iobservation

- ihypotheses i

- ipredictions

- iexperiments

- iconclusions i(modify ihypotheses, iand icontinue ithe iprocess)



scientific imethod i- iAnswer i- i i i- iorganized

- iempirical

- imethodical

- istructured iway iof ifinding iinformation iabout iobservable ievents iin inature

- ilets ius ireject ihypotheses iabout ihow ithe iworld iworks



steps iof ithe iscientific imethod i- iAnswer i- i i i1. imake iobservations

2. iformulate ihypotheses i- iis iit itestable? irefutable?

3. imake ia iprediction

4. iconduct ian iexperiment i- icontrol iall ivariables iBUT ione, irandomized, idouble iblind

,5. ianalyze iresults, idraw ia iconclusion i(if ievidence idisproves ihypothesis, iconstruct ia inew ihypothesis)

6. ireport iresults



is ithe iscientific imethod iflexible? i- iAnswer i- i i iyes! iit idoesn't ihave ito ibe istep iby istep



what idoes ia i"critical iexperiment" ido i- iAnswer i- i i iput ia ihypothesis ito ithe itest, ithe iresults ican
idecisively idetermine iwhether ia ihypothesis iis icorrect




class iexamples iof iscientific imethod i- iAnswer i- i i i- idoes iit irain imore ion iweekends?

- ireal ivs iartificial ivanilla

- i"maze ibright" ivs i"maze idull" irats



class iexample: idoes iit irain imore ion iweekends? i- iAnswer i- i i i- ifind iaverage iMonday iand iSaturday
irainfall; irains i22% imore ion iSaturdays


- ihypothesis: iparticular imatter ifrom icar iexhaust ibuilds iup iduring ithe iweek ileading ito icloud
iformation iand ithen irain ion ithe iweekends


- iexperiment: icollect idata ifrom isomewhere iwith ino icars i(ocean)

- iresults: ithere iis iequal irainfall ion ieach iday iin ithe iocean, iPROVING ithat icar iexhaust iaffects ithe
itrend iof imore irain ion iweekends




class iexample: ireal ivs iartificial ivanilla iin ichocolate ichip icookies i- iAnswer i- i i i- iPhelan ibaked ibatches
iof icookies iwith ireal ivanilla iand iwith iartificial ivanilla


- iasked iwife iwhich ione itasted ibetter

- iconcluded ithat ithere iwas ino idifference iin itaste ibetween ithe itypes iof ivanilla iused



class iexample: iis imaze irunning igenetic iin imice? i- iAnswer i- i i i- ihave i"maze idull" iand i"maze ibright"
imice

, - iwith ieach igeneration, itest iall imice ifor imaze ilearning iability iand ibreed ionly ithe itop i20% iand
ibottom i20%


- iobserve inew igenerations

- iconclusion: iover itime, ithe iextremes igot imore iand imore iexaggerated i

- imaze irunning iis inot igenetic ibut ithe iallele ifor ifear iis iin imice; iless ifear i= isolve imaze iquicker, imore
ifear i= isolve imaze islower




how ito iincrease iexperiment's ipower i- iAnswer i- i i i- irandomize isubjects

- icontrol iyour istudy

- iuse ia idouble-blind idesign



R.C.D. i- irat's icause idiseases



what iis ithe icost-benefit ianalysis iof ihaving ia imore icontrolled iexperiment? i- iAnswer i- i i iit's ia ipoorer
imodel iof ithe isituation iof iinterest




2. iHow idoes ia ihypothesis idiffer ifrom ia itheory ior iprediction? i- iAnswer i- i i i- ia iprediction ionly ioffers ia
iguess iof iwhat iwill ihappen iin ithe ifuture


- ia itheory iis ia iwidely iaccepted iidea ithat ihas iserious ievidence ibehind iit, ibacking iit iup; iex: itheory iof
ievolution


- ia ihypothesis iis ia iproposed iexplanation ifor iobserved iphenomena i

- ia ihypothesis imust igenerate itestable ipredictions

- itheories iare igenerally ibroader ithan ihypotheses



null ihypothesis i- iAnswer i- i i i- ia ihypothesis ithat istates ia ilack iof irelationship ibetween i2 ifactors

- ieasy ito idisprove

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