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COB 191 final exam questions & answers 2024/2025

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COB 191 final exam questions & answers 2024/2025 qualitative data - ANSWERSdescriptive terms quantitative data - ANSWERSdescribed by numeric values qualitative data classifications - ANSWERSnominal and ordinal quantitative data classifications - ANSWERSinterval and ratio nominal - ANSWERSclassifies data into distinct basic levels with no ranking implied ordinal - ANSWERSclassifies data into distinct basic levels where ranking is implied interval - ANSWERSdata can be meaningfully measured but has no true zero point ratio - ANSWERSdata can be meaningfully measured and has a true zero point primary data - ANSWERScollected by you directly secondary data - ANSWERScollected and published by someone else discrete data - ANSWERSfinite number range or countable number examples of discrete data - ANSWERSmoney, number of children in a house, temperature

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COB 191
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COB 191

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COB 191 final exam questions &
answers 2024/2025

qualitative data - ANSWERSdescriptive terms



quantitative data - ANSWERSdescribed by numeric values



qualitative data classifications - ANSWERSnominal and ordinal



quantitative data classifications - ANSWERSinterval and ratio



nominal - ANSWERSclassifies data into distinct basic levels with no ranking implied



ordinal - ANSWERSclassifies data into distinct basic levels where ranking is implied



interval - ANSWERSdata can be meaningfully measured but has no true zero point



ratio - ANSWERSdata can be meaningfully measured and has a true zero point



primary data - ANSWERScollected by you directly



secondary data - ANSWERScollected and published by someone else



discrete data - ANSWERSfinite number range or countable number



examples of discrete data - ANSWERSmoney, number of children in a house, temperature

, continuous data - ANSWERSinfinite number, obtained by measuring, many decimal points



examples of continuous data - ANSWERSweight, height



descriptive statistics - ANSWERScollecting, summarizing, and displaying data; factual representation of
sample information



inferential statistics - ANSWERSmaking claims or conclusions about the population based on sample
results



simple random sampling - ANSWERSevery member of the population has an equal chance of being
chosen



systematic sampling - ANSWERStake every kth member as part of the sample, where k=N/n



stratified random sampling - ANSWERSpopulation is divided into strata and participants randomly
selected from each stratum (subset of the population that shares a particular meaningful characteristic)



cluster sampling - ANSWERSclusters are based on naturally occurring groups (like patients in a hospital)
and participants are selected from those groups



convenience sampling - ANSWERSused whenever participants are readily available



measurement error - ANSWERSpeople provide incorrect data in survey



coverage error - ANSWERSoccurs when the sampling frame excludes some segments of the target
population



nonresponse bias - ANSWERSpeople who do not respond may be different from the people who do
respond

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