Correlation Parametric Nonparametric Measures by Chen Popovich (13 results)
Language: English
Published by Sage Publications, Inc, 2002
Series: Book 102 of 194 - Quantitative Applications in the Social Sciences
- Softcover
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Paperback. Condition: Fair. No Jacket. Former library book; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Language: English
Published by SAGE Publications, Incorporated, 2002
Series: Book 102 of 194 - Quantitative Applications in the Social Sciences
- Softcover
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Language: English
Published by SAGE Publications, Inc, 2002
Series: Book 102 of 194 - Quantitative Applications in the Social Sciences
- Softcover
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Published by SAGE Publications, Inc, 2002
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- Softcover
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Language: English
Published by SAGE Publications, Inc, 2002
Series: Book 102 of 194 - Quantitative Applications in the Social Sciences
- Softcover
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Language: English
Published by SAGE Publications, Inc, 2002
Series: Book 102 of 194 - Quantitative Applications in the Social Sciences
- Softcover
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Published by SAGE Publications, Inc, 2002
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- Softcover
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Language: English
Published by Sage Pubns, 2002
Series: Book 102 of 194 - Quantitative Applications in the Social Sciences
- Softcover
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Language: English
Published by SAGE Publications, Inc, 2002
Series: Book 102 of 194 - Quantitative Applications in the Social Sciences
- Softcover
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Language: English
Published by Sage Publications, 2002
Series: Book 102 of 194 - Quantitative Applications in the Social Sciences
- Softcover
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Condition: New. Print on Demand pp. vi + 95 Illus.
Language: English
Published by Sage Publications, 2002
Series: Book 102 of 194 - Quantitative Applications in the Social Sciences
- Softcover
- Print on Demand
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Language: English
Published by Sage Publications, 2002
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- Softcover
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Published by SAGE PUBN, 2002
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. How can correlation be more effectively used so that one does not misinterpret the data? This book reveals how to do this by examining Pearson r from its conceptual meaning, to assumptions, special cases of the Pearso…n r, the biserial coefficient and tetrac.
