Apply statistics in business to achieve performance improvement
Statistical Thinking: Improving Business Performance, 3rd Edition helps managers understand the role of statistics in implementing business improvements. It guides professionals who are learning statistics in order to improve performance in business and industry. It also helps graduate and undergraduate students understand the strategic value of data and statistics in arriving at real business solutions. Instruction in the book is based on principles of effective learning, established by educational and behavioral research.
The authors cover both practical examples and underlying theory, both the big picture and necessary details. Readers gain a conceptual understanding and the ability to perform actionable analyses. They are introduced to data skills to improve business processes, including collecting the appropriate data, identifying existing data limitations, and analyzing data graphically. The authors also provide an in-depth look at JMP software, including its purpose, capabilities, and techniques for use.
Updates to this edition include:
This book helps readers understand the role of statistics in business before they embark on learning statistical techniques.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
DR. ROGER W. HOERL is an associate professor at Union College where he teaches statistics, engineering statistics, design of experiments, regression analysis, and big data analytics. Previously, he led the Applied Statistics Laboratory at GE Global Research.
DR. RONALD D. SNEE is founder and president of Snee Associates, an authority on designing and implementing organizational improvement and cost-reduction solutions. Prior to this role, he worked at the DuPont Company in a variety of assignments. Snee has co-authored five books and published more than 330 articles on process improvement, quality, and statistics.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Textbook Bookie, Little Rock, AR, Etats-Unis
Hardcover. Etat : Fair. Book in Fair condition. N° de réf. du vendeur 9781119605713-acceptable
Quantité disponible : 1 disponible(s)
Vendeur : ThriftBooks-Dallas, Dallas, TX, Etats-Unis
Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G1119605717I4N00
Quantité disponible : 1 disponible(s)
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 35253987
Quantité disponible : 15 disponible(s)
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Etat : New. 2020. 3rd Edition. Hardcover. . . . . . N° de réf. du vendeur V9781119605713
Quantité disponible : 15 disponible(s)
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 35253987-n
Quantité disponible : 15 disponible(s)
Vendeur : INDOO, Avenel, NJ, Etats-Unis
Etat : New. N° de réf. du vendeur 9781119605713
Quantité disponible : 20 disponible(s)
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 35253987
Quantité disponible : 1 disponible(s)
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : New. N° de réf. du vendeur 35253987-n
Quantité disponible : 1 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. DR. ROGER W. HOERL is an associate professor at Union College where he teaches statistics, engineering statistics, design of experiments, regression analysis, and big data analytics. Previously, he led the Applied Statistics Laboratory at GE Global Research. N° de réf. du vendeur 339780467
Quantité disponible : Plus de 20 disponibles
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
Etat : New. 2020. 3rd Edition. Hardcover. . . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9781119605713
Quantité disponible : 15 disponible(s)