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WPC 300 Final Exam review Questions and Answers
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WPC 300 Final Exam review Questions and Answers
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WPC 300 Final Exam review Questionsand Answers
Data iiVariable iiCategories ii- iiAnswers ii-Qualitative iiand iiQuantitative
Qualitative ii- iiAnswers ii-Is iidescriptive iiand iiconceptual iiand iicannot iibe iimeasured
Quantitative ii- iiAnswers ii-Can iibe iicounted, iimeasured, iiand iiexpressed iiusing iinumbers
Quantitative iiData iiVariables ii- iiAnswers ii-Numerical-interval, iiratio
Categorical-Nominal, iiordinal
(Quantitative iiCategorical) iiNominal ii- iiAnswers ii-The iinumerical iivalues iijust ii"name"
iithe iiattribute iiuniquely
Ex: iiEmployment iiclassification
1 iifor iiEducator
2 iiFor iiConstruction iiWorker
3 iifor iiManufacturing iiWorker
(Quantitative iiCategorical) iiOrdinal ii- iiAnswers ii-Numbers iiare iiused iito iiindicate iirank iior
iiorder
Ex:
1 iifor iiPresident
2 iifor iiVice iiPresident
3 iifor iiPlant iiManager
(Quantitative iiNumerical) iiInterval ii- iiAnswers ii-Also iiknown iias ii"Scale", ii"Quantitative"
iior ii"Parametric" iidata. ii
Distances iibetween iiconsecutive iiintegers iiare iiequal iiRelative iimagnitude iiof iinumbers
iiis iimeaningful iiDifferences iibetween iinumbers iiare iicomparable iiLocation iiof iiorigin,
ii"zero", iiis iiarbitrary ii(VAGUE iiZERO)
Data iiare iialways iinumerical
Ex:
Temperature iiat iidifferent iirooms iiin iia iihome
(Quantitative iiNumerical) iiRatio ii- iiAnswers ii-Similar iito iiinterval iiscale, iithe iidifference
iibeing iithat iiRatio iihas iia iitrue iiZERO iiPOINT. ii
This iiscale iiis iicommonly iiused iifor iivalues iithat iiare iimeasured iiin iinumbers, iisuch iias
iilength, iiheight, iiweight, iior iimonetary iivalues iilike iicost iiand iirevenue. ii
Relative iimagnitude iiof iinumbers iiis iimeaningful iiDifferences iibetween iinumbers iiare
iicomparable ii
, Location iiof iiorigin, iizero, iiis iiabsolute ii(natural)
Ex: iiHeight, iiWeight, iiand iivolume
Statistics ii- iiAnswers ii-the iiscience iiconcerned iiwith iideveloping iiand iistudying iimethods
iifor iicollecting, iianalyzing, iiinterpreting iiand iipresenting iiempirical iidata iito iiassist iiin
iimaking iieffective iidecision
Descriptive iistatistics ii- iiAnswers ii-a iisummary iistatistic iithat iiquantitatively iidescribes iior
iisummarizes iifeatures iifrom iia iicollection iiof iiinformation,
3 iiPrinciples iiof iidescribing iidata ii- iiAnswers ii-Center, iiSpread, iiShape
inferential iistatistics ii(Sample iidata) ii- iiAnswers ii-Estimate iiuncertainty ii(using
iiprobability) iisome iimember iiof iithe iidata iito iiinfer iiabout iipopulation iidata
Population ii- iiAnswers ii-(the iiwhole) iia iicollection iiof iipersons, iiobjects, iior iiitems iiunder
iistudy
Census ii- iiAnswers ii-gathering iidata iifrom iithe iientire iipopulation
Sample ii- iiAnswers ii-a iiportion iior iisubset iiof iithe iiwhole/population iithat iimust iibe iilarge
iienough iito iirepresent iithe iiwhole
Measures iiof iicentral iitendency: ii- iiAnswers ii-Mean
Median
Mode
Percentiles ii
Quartiles
Measures iiof iivariability ii- iiAnswers ii-describe iithe iispread iior iithe iidispersion iiof iia iiset
iiof iidata
Common iiMeasures iiof iiVariability: ii- iiAnswers ii-Range
Interquartile iiRange
Mean iiAbsolute iiDeviation
Variance
Standard iiDeviation
Range ii- iiAnswers ii-the iidifference iibetween iithe iihighest iiand iilowest iiscores iiin iia
iidistribution
mean iiabsolute iideviation ii- iiAnswers ii-average iiof iithe iiabsolute iideviations iifrom iithe
iimean
Variance ii- iiAnswers ii-standard iideviation iisquared
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