The Computation of Style: An Introduction to Statistics for Students of Literature and HumanitiesPergamon Press, 1982 - 176 pagina's |
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Pagina 90
... parameters . In inferential stat- istics we are inferring from the statistics of samples to the correspond- ing ... parameter from a sample stat- istic there are three factors which always need to be taken into account . The first ...
... parameters . In inferential stat- istics we are inferring from the statistics of samples to the correspond- ing ... parameter from a sample stat- istic there are three factors which always need to be taken into account . The first ...
Pagina 94
... parameter . Precision and reliability vary in- versely : we can use a sample proportion to make a very precise estimate of the population proportion , but if we do so the estimate will very likely not be right ; or we can make a broad ...
... parameter . Precision and reliability vary in- versely : we can use a sample proportion to make a very precise estimate of the population proportion , but if we do so the estimate will very likely not be right ; or we can make a broad ...
Pagina 95
... parameter is likely to fall . Thus on the basis of the first sample we can say , with a 95 % confidence of being correct , that the population parameter falls between 0.31 and 0.51 . This is called giving an interval estimate and the ...
... parameter is likely to fall . Thus on the basis of the first sample we can say , with a 95 % confidence of being correct , that the population parameter falls between 0.31 and 0.51 . This is called giving an interval estimate and the ...
Inhoudsopgave
Contents | 1 |
Distributions and Graphs | 15 |
Measures of Central Tendency | 33 |
Copyright | |
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Veelvoorkomende woorden en zinsdelen
analysis of variance approximation authorship binomial distribution central tendency chapter coefficient column confidence limits contingency table correlation corresponding count cumulative frequency equal estimate Exercise expected values formula frequency distribution frequency polygon given graph groups histogram instance interquartile range interval istics length of words less mean square measure of central median Mendenhall mode normal curve normal distribution nouns null hypothesis number of items number of words occur pair passage population parameter population proportion possible outcomes probable error quartile random sample rank relationship represent Rhetoric to Alexander sample mean sample proportion sampling distribution scores sentences significance testing simple skew spade squared deviation standard deviation standard error statistical significance statisticians style stylistic stylometry sum of squares techniques three-letter words tion total number variables variation verbs whole number word-length words in letters X-axis z-score z-test
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