A linguist is studying how two authors use parts of speech in their writing. They take separate random samples of a few essays written by each author, and they tally how many times the authors use each part of speech. Here is a summary of the words in each sample and the results from a chi-squared test: Chi-square test: Parts of speech vs. author Author A Author B Adverbs 606060 747474 Expected 61.4261.4261, point, 42 72.5872.5872, point, 58 Adjectives 176176176 199199199 Expected 171.90171.90171, point, 90 203.10203.10203, point, 10 Verbs 179179179 220220220 Expected 182.90182.90182, point, 90 216.10216.10216, point, 10 Nouns 582582582 685685685 Expected 580.78580.78580, point, 78 686.22686.22686, point, 22 \chi^2=0.400,\text{ DF}=3, \text{ P-value}=0.940χ 2 =0.400, DF=3, P-value=0.940\chi, squared, equals, 0, point, 400, comma, start text, space, D, F, end text, equals, 3, comma, start text, space, P, negative, v, a, l, u, e, end text, equals, 0, point, 940 Assume that all conditions for inference were met. At the \alpha=0.05α=0.05alpha, equals, 0, point, 05 significance level, what is the most appropriate conclusion to draw from this test? Choose 1