WGU C207 Data-Driven Decision WGU
Making Complete Exam Study Guide, Practice Questions & Verified Answers (2026 Updated)
Study this set o nline at: https://www.cram.co m/flashcards/c207-9200367
Val i d D ata D ata resul ti ng f rom a test that accuratel y measures what i t i s i ntended to measure
Someti mes cal l ed categori cal data or qual i tati ve data, thi s data type i s used to
Nomi nal D ata
l abel subj ects or data by name
A Study perf ormed where nei ther the treatment al l ocator nor the parti ci pant nor the
T ri pl e-Bl i nd Study
response gatherer knows whi ch group the parti ci pant i s i n.
Omi ssi on E rror An error because somethi ng (f or exampl e, data or survey response) i s mi ssi ng.
Standards or poi nts of ref erence f or an i ndustry or sector that can be used f or
Benchmarks
compari son and eval uati on.
A study perf ormed where the parti ci pants are not tol d i f they are i n the treatment
Bl i nd Study
group or control group
D i screte D ata D ata that can onl y take on whol e val ues and has cl ear boundari es
E rrors i n measurement that are constant wi thi n a data set someti mes caused by
Systemati c E rrors
f aul ty equi pment or bi as
, C207
WGU C207 Data-Driven Decision WGU
Making Complete Exam Study Guide, Practice Questions & Verified Answers (2026 Updated)
Study this set o nline at: https://www.cram.co m/flashcards/c207-9200367
A study perf ormed where nei ther the treatment al l ocator nor the parti ci pant knows
D oubl e-Bl i nd Study
whi ch group the parti ci pant i s i n.
Conti nuous D ata D ata that can l ay al ong any poi nt i n a range of data
Anal yti cs T he di scovery, anal ysi s, and communi cati on of meani ngf ul patterns i n data
Random E rrors E rrors i n measurement caused by unpredi ctabl e stati sti cal f l uctuati ons
D ata that i s ordered wi thi n a range and wi th each data poi nt bei ng an equal
I nterval D ata
i nterval apart
A deci si on-maki ng model that consi sts of three stages: f rami ng the probl em,
D avenport-Ki m T hree-Stage Model
sol vi ng the probl em, and communi cati ng resul ts
Rel i abl e D ata D ata that i s consi stent and repeatabl e
A prej udi ce i n the data that resul ts when ei ther the respondent or the i ntervi ewer
I nf ormati on Bi as has an agenda and i s not presenti ng i mparti al questi ons or respondi ng wi th trul y
honest responses, respecti vel y
, C207
WGU C207 Data-Driven Decision WGU
Making Complete Exam Study Guide, Practice Questions & Verified Answers (2026 Updated)
Study this set o nline at: https://www.cram.co m/flashcards/c207-9200367
T he sci ence that deal s wi th the i nterpretati on of numeri cal f acts or data through
Stati sti cs
theori es of probabi l i ty. Al so, the numeri cal f acts or data themsel ves.
D ata that pl aces data obj ects i nto an order accordi ng to some qual i ty wi th
Ordi nal D ata
hi gher order i ndi cati ng more of that qual i ty
A prej udi ce i n the data that resul ts when the sampl e i s not representati ve of the
Measurement Bi as
popul ati on bei ng tested.
D ata Management T he management, i ncl udi ng cl eani ng and storage, of col l ected data.
Rel ati onal D atabase A database structured to recogni ze rel ati ons among stored i tems of i nf ormati on.
A catch-phrase that descri bes a massi ve vol ume of data that i s so l arge that i t's
Bi g D ata
di f f i cul t to process usi ng tradi ti onal database and sof tware techni ques.
Si mi l ar to i nterval data i n that the data that i s ordered wi thi n a range and wi th
Rati o D ata each data poi nt bei ng an equal i nterval apart, al so has a natural zero poi nt whi ch
i ndi cates non of the gi ven qual i ty.
D ata Set A col l ecti on of rel ated data records on a storage devi ce.
, C207
WGU C207 Data-Driven Decision WGU
Making Complete Exam Study Guide, Practice Questions & Verified Answers (2026 Updated)
Study this set o nline at: https://www.cram.co m/flashcards/c207-9200367
Gol d, Si l ver, and Bronze Medal i n the Ol ympi cs i s an exampl e of : Ordi nal D ata
I t reduces the amount of i ncompl ete data & I t cl eans data
Aspects of data qual i ty management:
T hese attri butes i ndi cate potenti al data qual i ty i ssues when eval uati ng a set of
Mi ssi ng data & Mi sspel l ed data
nomi nal data:
T he procedure of cal i brati ng a wei ght scal e pri or to getti ng a person's wei ght
Systemi c E rror
reduces what type of error?
Mi ssi ng val ues i n a parti cul ar f i el d i n a dataset were observed, the l i kel i hood of
a record havi ng a mi ssi ng val ue i s correl ated to another vari abl e i n the dataset.
Systemi c E rror & Omi ssi on E rror
What two types of errors mi ght be i ntroduced i nto the dataset i f the removed
record i ncl uded mi ssi ng val ues:
What two deci si on consi derati ons descri be f act-bases deci si on maki ng,
D eci si ons reduce external bi as & D eci si ons f oster trust i n pl ans
accordi ng to the qual i ty management pri nci pl es:
A county government must reduce spendi ng. I t wi shes to el i mi nate i ncremental
budgeti ng and al i gn budget al l ocati ons wi th each of i ts uni ts’ strategi c
Benchmarki ng l i ke strategi es of successf ul counti es
busi ness obj ecti ves. T he county can appl y what data anal yti c approach to attai n
thi s goal :
Sampl i ng wi th repl acement When a pi ece of the popul ati on can be sel ected more than once