CNSLl 503l /l CNSL503l Modulel 3:l (Latestl
2025/l 2026l Update)l Statisticsl |l Questionsl &l Answers|l Gradel A|l 100%l Correctl (Verifiedl Solutions)-l Portagel Learning
Q:l Whatl isl thel differencel betweenl clusterl samplingl andl stratifiedl
sampling?
Answer:
Clusterl samplingl involvesl dividingl al populationl intol randoml groupsl calledl clusters,l whereasl stratifiedl samplingl involvesl identifyingl stratal withinl al populationl andl recruitingl proportionall numbersl froml randoml samplesl ofl eachl stratum.
Q:l Whichl ofl thel followingl isl al disadvantagel ofl simplel randoml sampling?Eachl memberl ofl thel populationl hasl anl equall chancel ofl beingl selected.Itl isl thel simplestl methodl forl gatheringl al samplel froml al population.Selectionl ofl eachl memberl ofl thel samplel isl independentl ofl selectionl ofl alll otherl members.Itl isl mostl practicall forl smalll populations
Answer:
Itl isl mostl practicall forl smalll populations
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Q:l Whatl isl thel differencel betweenl samplingl andl nonsamplingl error?
Answer:
Samplingl errorl isl anyl deviationl betweenl al statisticl andl al parameterl thatl occursl duel tol chance.l Nonsamplingl errorsl usuallyl resultl froml problemsl withl datal collection.l Examplesl ofl sourcesl ofl nonsamplingl errorl includel measurementl bias,l responsel bias,l andl selectionl bias.
Q:l Ifl al participantl isl givenl al surveyl aboutl drugl usel andl isl notl truthfull aboutl hisl answers,l whatl typel ofl biasl canl result?Responsel bias Selectionl bias Measurementl bias Samplel bias
Answer:
Responsel bias
Q:l Whyl isl itl importantl thatl researchersl practicel ethicall samplingl
techniquesl andl datal collection?
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