INTRODUCTION TO PROBABILITY AND STATISTICS Principles and Applications for Engineering and the Computing Sciences
This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop...
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| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
New York
McGraw Hill
2003
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| Edition: | FOURTH EDITION |
| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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| 005 | 2018221155957 | ||
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| 020 | # | # | |a 9780072468366 |q hardback |
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| 040 | # | # | |a DLC |b eng |d UITM |e rda |
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| 100 | 1 | # | |a Milton, J. Susan |e author |
| 245 | 1 | 0 | |a INTRODUCTION TO PROBABILITY AND STATISTICS |b Principles and Applications for Engineering and the Computing Sciences |c J. Susan Milton, Jesse C. Arnold |
| 246 | 3 | 0 | |a Student solution manual for use with introduction to probability and statistics |
| 250 | # | # | |a FOURTH EDITION |
| 264 | # | 1 | |a New York |b McGraw Hill |c 2003 |
| 264 | # | 4 | |c ©2003 |
| 300 | # | # | |a xvii, 798 pages |b illustration |c 24 cm |
| 336 | # | # | |a text |2 rdacontent |
| 337 | # | # | |a unmediated |2 rdamedia |
| 338 | # | # | |a volume |2 rdacarrier |
| 500 | # | # | |a Accompanied by "Student Solution Manual" |
| 504 | # | # | |a Includes bibliography references (pages 684-685) and index |
| 520 | # | # | |a This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. |
| 526 | 8 | # | |a QMT400 |b CS240 |5 CS |
| 526 | # | # | |a Probability and Statistics |b Sarjana Muda Teknologi Maklumat |5 Faculty of Science Computer & Mathematic |
| 650 | # | 0 | |a Probabilities |
| 650 | # | 0 | |a Engineering mathematics |
| 650 | # | 0 | |a Electronic data processing |x Mathematics |
| 700 | 1 | # | |a Arnold, Jesse C. |e author |
| 856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=304268 |
| 964 | # | # | |c BOK |d 01 |
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Introduction to probability and statistics principles and applications for engineering and the computing sciences