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Statistics for engineering and the sciences / William Mendenhall, Terry Sincich. 6

By: Mendenhall, William. 4 0 16, [, ] | [, ] |

Contributor(s): 5 6 [] |

Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; Upper Saddle River, N.J. : Pearson Prentice-Hall, [2007];copyright 2007.46Edition: 5th edDescription: 26 cm. xii, 1060 p. : illContent type: text Media type: unmediated Carrier type: volumeISBN: 0131877062;9780131877061ISSN: 2Other title: 6 []Uniform titles: | | Related works: 1 40 Sincich, Terry. 6 []Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- Statistical methods. Mathematical statistics.;Engineering -- -- 20 -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: Statistics for engineering and the sciences.DDC classification: | LOC classification: | | 2Other classification:

Contents:

Action note: In: Summary: This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job. Other editions:

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Item type	Current location	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	PLM	PLM Circulation Section	Circulation-Circulating	519.5M522s (Browse shelf)	Available		C32673

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Includes bibliographical references (p. 1028-1035) and index.

This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.

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