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BEHV 5610 Module 9& 10 exam with complete solutions 2024 $12.19   Add to cart

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BEHV 5610 Module 9& 10 exam with complete solutions 2024

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BEHV 5610 Module 9& 10 exam with complete solutions 2024

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  • October 23, 2024
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  • 2024/2025
  • Exam (elaborations)
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  • BEHV 5610
  • BEHV 5610
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BEHV 5610 Module 9& 10 exam with
h h h h h h


complete solutions 2024
h h h




The hquantitative hresults hof hdeliberate, hplanned, hand husually hcontrolled
hobservation hare hcalled h- hANSWER✓✓-data


Behavior hanalysts huse ha hsystematic hform hof hexamination hknown has hvisual
hanalysis hto hinterpret hgraphically hdisplayed hdata. h- hANSWER✓✓-True


Visual hanalysis hbetween hphases hor hconditions hinvolves hcomparing: h-
hANSWER✓✓-differences hin hthe hdata hpoints hjust hbefore hand hjust hafter
hphase hchange hlines
level, htrend, hand hstability hacross hsimilar hconditions
changes hin hdirection hor hslope hof htrends
changes hin hoverall hlevel hof hperformance

Which his hNOT ha hformat hfor hthe hgraphic hdisplay hof hdata hused hin happlied
hbehavior hanalysis? h- hANSWER✓✓-polygraph


What his hthe hmost hcommonly hused hgraphic hformat hfor hthe hdisplay hof hdata
hin happlied hbehavior hanalysis? h- hANSWER✓✓-line hgraph


On hmost hline hgraphs, hthe hpassage hof htime his hmarked: h- hANSWER✓✓-in
hequal hintervals hon hthe hhorizontal haxis


What his hcreated hby hconnecting hsuccessive hdata hpoints hwithin ha hgiven
hphase hor hcondition hwith ha hstraight hline? h- hANSWER✓✓-data hpath


Multiple hdata hpaths hcan hbe hused hto hshow hconcurrent hmeasures hof: h-
hANSWER✓✓-two hor hmore hdimensions hof hthe hsame hbehavior
covariation hof htwo hor hmore hdifferent hbehaviors
the hbehavior hof htwo hor hmore hparticipants
the hsame hbehavior hunder hdifferent hconditions

The hmaximum hnumber hof hdata hpaths hthat hcan hbe heffectively hdisplayed hon
hone hset hof haxes his: h- hANSWER✓✓-there his hno hrule


Another hname hfor ha hhistogram his: h- hANSWER✓✓-bar hgraph

, Which htype hof hgraph hwould hbest hsummarize hperformance hof ha hgroup hof
hsubjects hduring hdifferent hconditions? h- hANSWER✓✓-bar hchart


Which htype hof hgraph his hmore hlikely hto hmask himportant hvariability hin hthe
hdata? h- hANSWER✓✓-bar hchart


When hthe hnumber hof hresponses hrecorded hduring heach hobservation his hadded
hto hthe htotal hnumber hof hresponses hrecorded hpreviously, h- hANSWER✓✓-a
hcumulative hrecord his hproduced.


Which hof hthe hfollowing his htrue hof hthe hcumulative hrecord? h- hANSWER✓✓-the
hsteeper hthe hslope, hthe hhigher hthe hresponse hrate


Equal hRELATIVE hchanges hin hperformance hare hrepresented hby hequal
hdistances hon ha(n): h- hANSWER✓✓-ratio hchart


Which htype hof hgraph hwould hbest hshow ha hdoubling hof hresponse hrate hover
htime? h- hANSWER✓✓-ratio hchart


standard hCeleration hChart his han hexample hof ha(n) h- hANSWER✓✓-semil-og
hchart


Precision hTeaching his hpredicated hon hthe hposition hthat: h- hANSWER✓✓-
learning his hbest hmeasured has ha hchange hin hresponse hrate
learning hoccurs hthrough hproportional hchanges
past hchanges hin hperformance hpredict hfuture hlearning

To hmake ha hgraph hmore hattractive hand heasier hto hread, hthe hbehavior hanalyst
hshould huse ha hdifferent hcolor hfor heach hdata hpath. h- hANSWER✓✓-False


Which his hNOT ha hfundamental hproperty hof hbehavioral hdata? h- hANSWER✓✓-
magnitude

One hshould hcontinue ha hcondition hto hcollect hmore hdata hwhen: h-
hANSWER✓✓-the hresults hare hnot hsimilar hto hthe hresults hof hprevious hstudies


The hvalue hon hthe hvertical haxis hscale haround hwhich ha hset hof hrepeated
hmeasures hconverge his hcalled: h- hANSWER✓✓-level


Which hlevel hline his hpreferred hwhen hrepresenting hthe hcentral htendency hof ha
hseries hof hdata hpoints hshowing hconsiderable hvariability? h- hANSWER✓✓-
median

Another hname hfor ha h"line hof hprogress" his h- hANSWER✓✓-trend hline

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