The Computation of Style: An Introduction to Statistics for Students of Literature and HumanitiesPergamon Press, 1982 - 176 pagina's |
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Pagina 121
... sample statistics . In the present chapter we shall concentrate on inferences from sample means to population means and compari- sons between means occurring in different samples . Just as we use a sample proportion as our best estimate ...
... sample statistics . In the present chapter we shall concentrate on inferences from sample means to population means and compari- sons between means occurring in different samples . Just as we use a sample proportion as our best estimate ...
Pagina 123
... sample mean and the population mean is 12.5 . We turn this difference into a z - score by dividing it by the SE . The z - score is 5 ; such a score was too great to be included in our table : in fact the probability of such a difference ...
... sample mean and the population mean is 12.5 . We turn this difference into a z - score by dividing it by the SE . The z - score is 5 ; such a score was too great to be included in our table : in fact the probability of such a difference ...
Pagina 128
... mean . When we wish to calculate the variance of a sample as an unbiased estimate of the variance of a population we have , as explained earlier , to use the denominator n − 1 instead of N. If we have a number of samples we can compare ...
... mean . When we wish to calculate the variance of a sample as an unbiased estimate of the variance of a population we have , as explained earlier , to use the denominator n − 1 instead of N. If we have a number of samples we can compare ...
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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