The Computation of Style: An Introduction to Statistics for Students of Literature and HumanitiesPergamon Press, 1982 - 176 pagina's |
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Pagina 96
... limits , we can reduce the risk , at the cost of precision , by widening the limits of the interval . We can use 99 % confidence limits and say , with only one chance in a hundred of being wrong , that the population parameter as judged ...
... limits , we can reduce the risk , at the cost of precision , by widening the limits of the interval . We can use 99 % confidence limits and say , with only one chance in a hundred of being wrong , that the population parameter as judged ...
Pagina 97
... limits in per cent : we can say , with 95 % confidence , that the population propor- tion falls between 30 and 50 % . The outer pair gives us the 99 % confidence limits , 28 and 53 % . Note that the confidence limits make a statement ...
... limits in per cent : we can say , with 95 % confidence , that the population propor- tion falls between 30 and 50 % . The outer pair gives us the 99 % confidence limits , 28 and 53 % . Note that the confidence limits make a statement ...
Pagina 98
... limits : if we give the 95 % confidence limits , we are saying that there is a probability of 20-1 that the error of the estimate will not be greater than the distance between the point estimate and the limits . Conse- quently , the ...
... limits : if we give the 95 % confidence limits , we are saying that there is a probability of 20-1 that the error of the estimate will not be greater than the distance between the point estimate and the limits . Conse- quently , 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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