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
... corresponding magnitudes in the population as a whole are known as parameters . In inferential stat- istics we are inferring from the statistics of samples to the correspond- ing parameters of the population.1 In a wholly uniform ...
... corresponding magnitudes in the population as a whole are known as parameters . In inferential stat- istics we are inferring from the statistics of samples to the correspond- ing parameters of the population.1 In a wholly uniform ...
Pagina 115
... corresponding to the DF ( r− 1 ) ( c− 1 ) . We then move along the row until we reach the value of x2 corresponding to the alpha we have determined . If the x2 de- rived from the contingency table is greater than this , Testing for ...
... corresponding to the DF ( r− 1 ) ( c− 1 ) . We then move along the row until we reach the value of x2 corresponding to the alpha we have determined . If the x2 de- rived from the contingency table is greater than this , Testing for ...
Pagina 124
... corresponding one for sample proportions . We first set the appropriate a ; we set up the null hypoth- esis that there is no difference between the means in the two popula- tions which the samples represent ; we calculate a z value by ...
... corresponding one for sample proportions . We first set the appropriate a ; we set up the null hypoth- esis that there is no difference between the means in the two popula- tions which the samples represent ; we calculate a z value by ...
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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