| Judul | Statistical Techniques in Business & Economics / Douglas A. Lind |
| Pengarang | Lind, Douglas A. William G. Marchal and Samuel A. Wathen |
| EDISI | 13th ed. |
| Penerbitan | New York : Abacus, 2008 |
| Deskripsi Fisik | xix, 860 p. :: illus. ;27 cm |
| ISBN | 9780071285759 |
| Subjek | Statistics |
| Abstrak | This book is to provide students majoring in management, marketing, finance, accounting, economics, and other fields of business administration with an introductory survey of the many applications of descriptive and inferential statistics. They focus on business applications, they also use many problems and examples that are student oriented and do not require previous courses. Today, skills are needed to deal with a large volume of numerical information. First, they need to be critical consumers of information into a concise and meaningful form to enable us to make effective interpretation, judgments, and decisions. |
| Catatan | Includes CD Indeks : p. 849 - 860 |
| Bahasa | Inggris |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Tag | Ind1 | Ind2 | Isi |
| 001 | INLIS000000000004737 | ||
| 005 | 20221019015026 | ||
| 008 | 221019################|##########|#eng## | ||
| 020 | # | # | $a 9780071285759 |
| 035 | # | # | $a 0010-0520004737 |
| 041 | $a eng | ||
| 082 | # | # | $a 310 |
| 084 | # | # | $a 310 LIN s |
| 100 | 0 | # | $a Lind, Douglas A. |
| 245 | 1 | # | $a Statistical Techniques in Business & Economics /$c Douglas A. Lind |
| 250 | # | # | $a 13th ed. |
| 260 | # | # | $a New York :$b Abacus,$c 2008 |
| 300 | # | # | $a xix, 860 p. : $b : illus. ; $c 27 cm |
| 500 | # | # | $a Includes CD |
| 500 | # | # | $a Indeks : p. 849 - 860 |
| 520 | # | # | $a This book is to provide students majoring in management, marketing, finance, accounting, economics, and other fields of business administration with an introductory survey of the many applications of descriptive and inferential statistics. They focus on business applications, they also use many problems and examples that are student oriented and do not require previous courses. Today, skills are needed to deal with a large volume of numerical information. First, they need to be critical consumers of information into a concise and meaningful form to enable us to make effective interpretation, judgments, and decisions. |
| 650 | 4 | $a Statistics | |
| 700 | 0 | # | $a and Samuel A. Wathen |
| 700 | 0 | # | $a William G. Marchal |
| 990 | # | # | $a 11008/MKRI-P/XII-2008 |
| 990 | # | # | $a 11009/MKRI-P/XII-2008 |
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