Review of 4 data types - Review of 4 data types(NOIR...

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Review of 4 data types (NOIR) Nominal (identifier) – student id, Joe, Address, credit card #s naming data Ordinal – order matters (evaluating, identifying) – Star ratings of hotels, grades, Likert scales ------------- Interval – numeric, measurement, has no absolute zero point Temperature, financials Ratio – numeric, measurement, has absolute zero point Distance, time Sample versus population time restraints impossible to cover all/population is inaccessible expensive unnecessary/population is too broad populations are dynamic/change # 1 goal – sample that is representative of the population sample frame – who are eligible to be chosen as part of the sample sample size – variable, no golden rule, goal here is to make sure, whatever size sample we have, that it’s representative Problems in sampling error - natural, inevitable, cannot control because we are the world of samples bias – a problem in how we sample, collect, or interpret data 3 types of bias response bias
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  • Fall '13
  • Sale
  • representative, random sampling, systematic random sampling

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