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September I969 New York University Courant Institute of Mathematical Sciences A TEST OF NORMALITY: ESPECIALLY AGAINST SYMMETRIC ALTERNATIVES Kei Takeuchi This report represents results obtained at the Courant Institute of Mathematical Sciences, New York University, and the Research Center, Rockland State Hospital, under respective Public Health Service Grants No. GM 16202-01 (N ational Institute of General Medical Sciences) and No. MH 14934-02 (N ational Institute of Mental Health).
(Typographical errors above are due to OCR software and don't occur in the book.)
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Paperback. Etat : New. Print on Demand. This book examines the pitfalls of inferential statistics when applied to non-normal data. The author introduces a powerful method for testing whether a data set is non-normal, opening up possibilities for more accurate analysis. Many different statistical methods assume that data comes from a normal distribution, but in practice this assumption is often violated. The author's test provides a way to check this assumption and identify non-normal data, allowing researchers to use more appropriate statistical methods and avoid misleading conclusions. The book is written in clear and concise language, making it accessible to a wide range of readers interested in statistics, data analysis, and research methods. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. N° de réf. du vendeur 9781330024867_0
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781330024867
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781330024867
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