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Statistical Determination of Genre in Biblical Hebrew - Institute for ...

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Evidence <strong>for</strong> an Historical Read<strong>in</strong>g <strong>of</strong> Genesis 1:1–2:3 6575.2 The Null HypothesisTo determ<strong>in</strong>e the <strong>in</strong>ferential potential <strong>of</strong> the ratio <strong>of</strong> preterites to f<strong>in</strong>iteverbs the null hypothesis H 0and the alternative H 1were put <strong>for</strong>th asfollows:H 0: All logistic regression classification models, <strong>in</strong> which the relativefrequency <strong>of</strong> preterites is the only <strong>in</strong>dependent variable, classify textsaccord<strong>in</strong>g to genre no better than random classification.This is tested aga<strong>in</strong>st the alternative hypothesis:H 1: There is a classification model that classifies texts by genre betterthan random classification.5.3 The Random SampleIn order to ensure that texts from all periods and from all three parts<strong>of</strong> the <strong>Hebrew</strong> Bible (Torah, Prophets, and Writ<strong>in</strong>gs) were <strong>in</strong>cluded<strong>in</strong> the analysis, a stratified random sample was generated. Also, thissample <strong>in</strong>cluded extra texts to replace any primary texts rejected <strong>for</strong>violat<strong>in</strong>g any <strong>of</strong> the conditions stated above.The breakdown <strong>of</strong> the narrative text <strong>in</strong> the sample is: Torah (15 out <strong>of</strong>87, 2 extra); Former Prophets (21 out <strong>of</strong> 138, 3 extra); Latter Prophets (2out <strong>of</strong> 11, 2 extra); and Writ<strong>in</strong>gs (10 out <strong>of</strong> 59, 2 extra). The breakdown<strong>of</strong> the poetic texts <strong>in</strong> the sample is: Torah (3 out <strong>of</strong> 13, 2 extra); FormerProphets (3 out <strong>of</strong> 12, 2 extra); Latter Prophets (23 out <strong>of</strong> 104, 3 extra);and Writ<strong>in</strong>gs (22 out <strong>of</strong> 98, 3 extra).5.4 Visualiz<strong>in</strong>g the DataAga<strong>in</strong> BibleWorks 5.0 was used to count the verbs <strong>for</strong> each text. Thedata is tabulated <strong>in</strong> Appendix B <strong>in</strong> Tables B1–B8.3-D bar graphs and scatter plots visually present the data. 3-D bargraphs display the relative frequency <strong>of</strong> f<strong>in</strong>ite verbs. For the 3-D bargraphs (Figures 4–5) the colors <strong>for</strong> the relative frequencies <strong>of</strong> preterites,imperfects, perfects and waw-perfects are green, red, yellow, and blue,respectively (go<strong>in</strong>g back <strong>in</strong>to the page on the y-axes). The passages

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