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FIRST LONG EXAMINATION IN PR2 FINALS
Quiz by FERMIN HERRERA
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50 questions
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- Q1THE PROCESS OF GETTING INFORMATION FROM A ROPER SUBSET OF POPULATIONRESPONDENTSSAMPLESAMPLINGPOPULATION30s
- Q2THE FUNDAMENTAL PURPOSE OF ALL SAMPLING PLANS IS TO DECRIBE THE POPULATION CHARACTERISTICS THRU VALUES OBTAINED FROM THE SAMPLE AS ACCURATE AS POSSIBLE.DECRIBE THE INSTRUMENT CHARACTERISTICS THRU VALUES OBTAINED FROM THE SAMPLE AS ACCURATE AS POSSIBLE.DECRIBE THE POPULATION CHARACTERISTICS THRU VALUES OBTAINED FROM THE SAMPLE AS ACCURATE AS POSSIBLE.DECRIBE THE DEVICE CHARACTERISTICS THRU VALUES OBTAINED FROM THE SAMPLE AS ACCURATE AS POSSIBLE.ENUMERATE THE SUBSET CHARACTERISTICS THRU VALUES OBTAINED FROM THE SAMPLE AS ACCURATE AS POSSIBLE.30s
- Q3A DETAILED OUTLINE OF WHICH MEASUREMENTS WILL BE TAKEN AT WHAT TIMES, ON WHICH MATERIAL, IN WHAT MANNER AND BY WHOM WHAT SUPOORT THE ANALYSISRESPONDENTSSAMPLEPOPULATION FRAMESAMPLING PLAN30s
- Q4THE FOLLOWING ARE THE STEPS INVOLVED IN DEVELOPING SAMPLING PLAN EXCEPTSELECT SAMPLE SIZEDESIGN DATA STORAGEASSIGN ROLES AND RESPONSIBILITIESBYPASSING THE PARAMETERS TO BE MEASURED30s
- Q5WHEN YOU COLLECT ANY SORT OF DATA, WHETHER OBSERVATIONAL, THROUGH SURVEY OR FROM SECONDARY DATA YOU NEED TO DECIDE WHICH DATA TO COLLECT AND FROM WHOM. THIS IS CALLEDSAMPLESAMPLE SIZEPOPULATIONSAMPLE FRAME30s
- Q6IT IS HOW LARGE A SAMPLE MUST ONE TAKE IN ORDER TO BE CERTAIN THAT THE VALUES CALCULATED FROM THE POPULATIONPOPULATION FRAMESAMPLE SIZERESPONDENTSSAMPLE FRAME30s
- Q7IN SLOVIN`S FORMULA LETTER (N) REPRESENTSPOPULATION SIZESAMPLESAMPLE FRAMEPOPULATION FRAME30s
- Q8PROBABILITY SAMPLING REFERS TOA SAMPLING TECHNIQUE IN WHICH SAMPLES ARE OBTAINED USING SOME PERSPECTIVE OR INSIGHTSA SAMPLING TECHNIQUE IN WHICH SAMPLES ARE OBTAINED USING SOME OBJECTIVE CHANCE MECHANISMA SAMPLING TECHNIQUE IN WHICH SAMPLES ARE OBTAINED USING SOME EMOTIONAL SELECTIONSELECTING SUB SAMPLES PROPORTIONATE IN SIZE TO THE SIGNIFICANT CHARATERISTICS OF THE TOTAL POPULATION30s
- Q9THERE ARE COMMONLY USED PROBABILITY SAMPLING TECHNIQUES EXCEPT:ACCIDENTAL SAMPLESIMPLE RANDOM SAMPLINGCLUSTER SAMPLINGSYSTEMATIC SAMPLING30s
- Q10IS A TECHNIQUE IN WHICH THE UNIT OF SAMPLING IS NOT THE INDIVIDUAL BUT THE NATURALLY OCCURING GROUP OF INDIVIDUALS.MULTI- STAGE SAMPLINGSIMPLE RANDOM SAMPLINGSYSTEMATIC SAMPLINGCLUSTER SAMPLING30s
- Q11THE BASIC PROBABILITY SAMPLING DESIGNMULIT STAGE SAMPLINGSTRATIFIED RANDOM SAMPLINGSIMPLE RANDOM SAMPLINGSYSTEMATIC RANDOM SAPMLING30s
- Q12IS THE ONLY APPROACH THAT MAKES POSSIBLE REPRESENTATIVE SAMPLING PLANS. IT MAKES POSSIBLE FOR THE INVESTIGATORS TO ESTIMATE THE EXTENT TO WHICH THE FINDINGS BASED ON THEIR SAMPLES ARE LIKELY TO DIFFERIN WHAT THEY WOULD FOUND BY STUDYING THE POPULATION.PROBABILITY SAMPLINGNON PROBABILITY SAMPLINGSAMPLING THEORYSAMPLING30s
- Q13THIS SAMPLING TECHNIQUE IS USE BY MEANS OF RANDOM NUMBER OR LOTTERY RECHNIQUESIMPLE RANDOM SAMPLINGSTRATIFIED RANDOM SAMPLINGCLUSTER SAMPLINGPROBABILITY SAMPLING30s
- Q14A TECHNIQUE AFFECTED BY DRAWING UNITS AT REGULAR INTERVALS FROM A LIST.SIMPLE RANDOM SAMPLINGPROBABILITY SAMPLINGCLUSTER SAMPLINGSYSTEMATIC RANDOM SAMPLING30s
- Q15WHAT IS TRUE ABOUT NON PROBABILITY SAMPLING?A TECHNIQUE WHEN THERE IS A CHANCE OF ESTIMATING THE PROBABILITY THAT EACH ELEMENT TO BE SELECTEDA TECHNIQUE WHEN THERE ARE HUNDREDS WAY OF ESTIMATING THE PROBABILITY THAT EACH ELEMENT HAS A CHANCE OF BEING INCLUDEDA TECHNIQUE WHEN THERE IS A WAY OF ESTIMATING THE PROBABILITY THAT EACH ELEMENT HAS A CHANCE OF BEING INCLUDEDA TECHNIQUE WHEN THERE IS NO WAY OF ESTIMATING THE PROBABILITY THAT EACH ELEMENT HAS A CHANCE OF BEING INCLUDED30s