stats summary page

stats summary page - Qualitative Data - categorical Ex. Eye...

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Qualitative Data - categorical Ex. Eye color, political party (defined categories) Quantitative data- numerical Discrete #children (counted items) Continuous Weight (measured characteristics) Nominal data - categorical codes/ lowest level, basic analysis Ex. Id numbers, category names Ordinal data - ordered categories/ higher level, mid-level analysis Ex. Rankings Ratio/interval data - measurements/ highest level/complete analysis Standardized Population values Z = x - i/ o… X = original data value… i(mu) = population mean… O = population standard deviation… Z = standard score Standardized Sample Values Z = x - x / s… X = original data value… X = sample mean… S = sample standard deviation… Z = standard score Probability Always between 0 and 1 for individual values Sum of all values is P(E i ) = P(e 1 ) + P(e 2 ) + P(e 3 ) Experimental outcome – An outcome from a sample space with one characteristic Example: A red card from a deck of cards Event
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This note was uploaded on 03/23/2011 for the course STATS 100 taught by Professor Lawerence during the Spring '11 term at Rutgers.

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stats summary page - Qualitative Data - categorical Ex. Eye...

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