Statistics for Engineering and the Sciences Student Solutions Manual (Paperback). Questo articolo non è disponibile.
Lingua: inglese
Editore: Taylor & Francis Inc, Portland, 2016
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- Nuovo

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Descrizione dell’articolo da parte del venditore
Paperback. A companion to Mendenhall and Sincichs Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises. A companion to Mendenhall and Sincichs Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Codice articolo 9781498731829
- Titolo
- Statistics for Engineering and the Sciences Student Solutions Manual (Paperback)
- Autore
- William M. Mendenhall
- Editore
- Taylor & Francis Inc, Portland
- Anno di pubblicazione
- 2016
- Condizione
- new
- Rilegatura
- Paperback
- Lingua
- inglese
- ISBN 10
- 1498731821
- ISBN 13
- 9781498731829
A companion to Mendenhall and Sincich’s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises.
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Informazioni sull’autore
William Mendenhall was a professor emeritus in the Statistics Department and the first chairman of the department at the University of Florida. Dr. Mendenhall published articles in top statistics journals and was a prolific author of statistics textbooks.
Terry L. Sincich is an associate professor in the Information Systems Decision Sciences Department at the University of South Florida, where he teaches introductory statistics at the undergraduate level and advanced statistics courses at the doctoral level. He has won numerous teaching awards, including the Kahn Teaching Award and Outstanding Teacher Award. Dr. Sincich is a member of the American Statistical Association and the Decision Sciences Institute. His research interests include applied statistical analysis and statistical modeling.
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