Exam (elaborations)
COG170 Chapter 9 Summaries Cogito Fundamentals Exam Questions and Answers
COG170 Chapter 9 Summaries Cogito Fundamentals Exam
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COG170 Chapter 9: Summaries Cogito
Fundamentals Exam
How iicould iiyou iifind iiout iiwhat iioptions iiare iiavailable iifor iiyou iito iiuse iiin iidividing iiup iia
iipie iichart, iichoosing iicategories iifor iiyour iibar iigraph, iior iisetting iiup iilevels iiof iia
iigrouped iisummary? ii- iiAnswers ii-Check iithe iilist iiof iiAvailable iiand iiUsed iicolumns iiin
iithe iiDisplay iitab iiof iiyour iireport.
What iicontrols iithe iilist iiof iiavailable iimeasures iiin iiSlicerDicer? ii- iiAnswers ii-Measures
iiare iichosen iifrom iithe iilist iiof iifilters ii(FDS iirecords) iiavailable iiin iia iigiven iidata iimodel.
True iior iiFalse: iiIn iitable iicomponents, iithe iicolored iiindicators iican iihave iidifferent
iithresholds iifor iieach iirow. ii- iiAnswers ii-True. iiOn iithe iiThresholds iitab iiin iithe iiOutput
iiFormat iiform, iiyou iican iispecify iioverrides iifor iieach iirow iito iihave iiits iiown iithresholds.
What iicauses iiof iiconcern iiwould iiwe iihave iiabout iia iitable iicomponent iiwith iithe
iifollowing iithreshold iisettings?
Column iiLower iiBound iiUpper iiBound iiAlert
Percent ii34 ii67 iiYellow
Percent ii0 ii33 iiGreen
Percent ii68 iiRed
a. iiPercent iithresholds iishould iidivide iiinto iiperfectly iiequal iiparts ii(e.g. ii33.33, ii66.66)
b. iiThe iithresholds iido iinot iiaccount iifor iidecimal iipercent iivalues
c. iiPercent iivalues iiare iiunavailable iifor iithreshold iilogic
d. iiAlerts iishould iialways iibe iiordered iifrom iilowest iito iihighest iiseverity, iior iihighest iito
iilowest iiseverity ii- iiAnswers ii-b. iiThe iithresholds iido iinot iiaccount iifor iidecimal iipercent
iivalues
Whichever iisummary iiformat iithe iireport iibuilder iichooses, iithey iiwill iihave iito iispecify
iihow iithe iidata iiis iigrouped ii- iiwhat iidoes iithat iimean? ii- iiAnswers ii-Grouping ii- iiAll
iisummarization iiformats iifundamentally iigroup iidata iiby iicommon iicharacteristics, iiand
iithen iiperform iisummarization iifunctions iion iiall iithe iidata iiwhich iishares iithat
iicharacteristic.
What iiis iia iisummarization iifunction? ii- iiAnswers ii-Once iidata iihas iibeen iigrouped,
iisummarization iifunctions iiaggregate iithe iidata iiand iidefine iihow iiit iishould iibe iidisplayed
iifor iieach iigroup. iiChoosing iithe iiwrong iisummarization iifunction iican iiobfuscate iithe
iidata.
Define ii- iiSummarization iiFunctions ii- iiCount ii- iiAnswers ii-Tells iihow iimany iinon iinull
iivalues iithere iiare! iiCount ii- iiOne iiof iithe iimost iicommon iisummarization iifunctions iiis
, iicount. iiCounting iia iicolumn iimeans iithat iifor iieach iigroup, iiyour iisummary iiwill iishow
iihow iimany iirows iiin iithe iigroup iihave iia iivalue iiin iithat iicolumn. iiCount iidoes iinot iicare
iiwhat iithe iivalue iiis, iionly iithat iiit iiexists. iiThis iimeans iithe iionly iirows iinot iicounted iiare
iithose iicontaining iia iiNULL iiin iithe iicounted iicolumn.
Define ii- iiSummarization iiFunctions ii- iiCount iiUnique ii- iiAnswers ii-How iimany iidifferent
iivalues! iiCounting iiunique iivalues iiin iia iigroup iiis iivery iidifferent iifrom iiperforming iia
iisimple iicount. iiCounting iiunique iivalues iiwill iidisplay iithe iinumber iiof iidifferent iivalues
iistored iiin iia iicolumn iifor iieach iigroup. iiNULL iivalues iiwill iistill iinot iibe iicounted.
Define ii- iiSummarization iiFunctions ii- iiSum ii- iiAnswers ii-Adds iitogether ii- iiSum iiis iionly
iiused iifor iinumeric iicolumns. iiIt iiadds iiup iithe iivalues iiin iia iicolumn iifor iieach iigroup.
iiWhen iiadding iiup iinumbers, iineither iia ii0 iinor iia iiNULL iiwill iiaffect iithe iitotal iisum.
Define ii- iiSummarization iiFunctions ii- iiAverage ii- iiAnswers ii-Sum iidivided iiby iiCount ii-
iiAverage iiis iialso iiapplied iito iinumeric iivalues iiand iican iibe iithought iiof iias iiSum iidivided
iiby iiCount. iiIt iiis iiimportant iito iirecognize iithat iisince iithe iidenominator iiof iithis iifunction
iiis iia iiCount, iithis iimeans iithat iithe iinumber iiof iiNULL iivalues iiwill iinot iibe iiconsidered
iiwhen iicalculating iian iiaverage.
Define ii- iiSummarization iiFunctions ii- iiPercentage ii- iiAnswers ii-A iipercentage iican iibe
iithought iiof iias iithe iiratio iiof iitwo iicounts iior iitwo iisums. iiOne iifunction iiis iithe iinumerator,
iiand iione iifunction iiis iithe iidenominator. ii
For iia iicount-based iipercentage, iiit iiis iicommon iifor iithe iidenominator iito iibe iia iicount iiof
iiall iirows iiin iithe iipopulation, iiwith iia iinumerator iibeing iithe iicount iiof iiall iirows iiin iithe
iigroup. iiSince iiboth iithe iinumerator iiand iithe iidenominator iiare iicounts, iino iiNULLs iiwill
iibe iiincluded iiin iieither. ii
For iia iisum-based iipercentage, iithe iidenominator iiis iiusually iithe iisum iiof iiall iinumbers
iiin iithe iidata iiset, iiwhile iithe iinumerator iiis iithe iisum iiof iithen iinumbers iiin iijust iione
iigroup. iiSince iithe iisum iifunction iidoes iinot iiinclude iiNULLs, iiboth iithe iinumerator iiand
iidenominator iiwill iiignore iithem.
There iiare iiseveral iicommon iierrors iimade iiwhen iichoosing iihow iito iisummarize. iiFollow
iithese
rules. ii(list iithree) ii- iiAnswers ii-• iiDO iiNOT iiuse iia iicount iifunction iion iinumeric iidata iito
iifind iitotal iiamount.
• iiDO iiNOT iiuse iicount iiunique iiunless iiyou iiwant iito iidisplay ii"number iiof iidifferent
iivalues."
• iiWhen iiusing iian iiaverage iifunction, iifind iiout iiif iithe iicolumn iistores iia iiNULL iior iia ii0
iiwhen iino iidata iiis iientered.
Which iiFunction? iichoose iithe iicorrect iisummarization iifunction(s) iiyou iimight iineed.
iiHow iimuch iimoney iidid iiwe iicharge iiin ii2011? ii- iiAnswers ii-Sum