The Computation of Style: An Introduction to Statistics for Students of Literature and HumanitiesPergamon Press, 1982 - 176 pagina's |
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Pagina 40
... gives one little infor mation about the nature of the distribution . Mean and median each require calculation to discover , but each is more informative than the mode about the distribution in question . The median is a position or rank ...
... gives one little infor mation about the nature of the distribution . Mean and median each require calculation to discover , but each is more informative than the mode about the distribution in question . The median is a position or rank ...
Pagina 125
... gives . The SE formula remains the same SD square root of number of items in sample but whereas when the population SD is used this SE can be used to divide the observed difference to give us the statistic z , when the sample SD is used ...
... gives . The SE formula remains the same SD square root of number of items in sample but whereas when the population SD is used this SE can be used to divide the observed difference to give us the statistic z , when the sample SD is used ...
Pagina 132
... gives the largest value of F that may occur due to sampling error at a given level of significance . Table A gives the values for the 5 % level of significance , and table B gives the values for the 1 % level of significance . To use ...
... gives the largest value of F that may occur due to sampling error at a given level of significance . Table A gives the values for the 5 % level of significance , and table B gives the values for the 1 % level of significance . To use ...
Inhoudsopgave
Contents | 1 |
Distributions and Graphs | 15 |
Measures of Central Tendency | 33 |
Copyright | |
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The Computation of Style: An Introduction to Statistics for Students of ... Anthony Kenny Fragmentweergave - 1982 |
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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