Business statistics for non-mathematicians / Sonia Taylor.
Material type:![Text](https://unissa.edu.bn/e-fihrist/opac-tmpl/lib/famfamfam/BK.png)
- 9780230506466 (pbk.)
- 0230506461 (pbk.)
- HF1017 T395 2007
Item type | Current library | Call number | Status | Date due | Barcode | |
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General H (Social Sciences: Economic, Industries, Commerce, Finance, Sociology, Family, Society) Ground floor | Universiti Islam Sultan Sharif Ali Ground Floor (Gadong Campus) | HF1017 T395 2007 c.1 (Browse shelf(Opens below)) | Available | 1050035818 | ||
General H (Social Sciences: Economic, Industries, Commerce, Finance, Sociology, Family, Society) Ground floor | Universiti Islam Sultan Sharif Ali Ground Floor (Gadong Campus) | HF1017 T395 2007 c.2 (Browse shelf(Opens below)) | Available | 1050035819 |
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HF1017 N54 2007 c.1 Statistical methods for business and economics / | HF1017 S944 2011 c.1 Fundamentals of business statistics, 6E / | HF1017 T395 2007 c.1 Business statistics for non-mathematicians / | HF1017 T395 2007 c.2 Business statistics for non-mathematicians / | HF1106 B875 2011 c.1 Business and finance : emerging issues / | HF1106 F569 c.1 Revise IGCSE complete study & revision guide : business studies / | HF1106 J49 2000 c.1 An integrated approach to business studies / |
Originally published: Business statistics. 2001.
Includes bibliographical references (p. 361) and index.
A student-friendly book written to encourage first year business students to understand (and enjoy) their first experience of statistics. Each topic is well illustrated, with worked examples, tutorial sheets, supplementary exercises, and computer worksheets in SPSS, Minitab and Excel--all with answers provided. An extensive Companion Website complements the book with additional learning tools. Examples are based on real world scenarios to create a relevant, problem-based approach covering the practical and theoretical.--From publisher description.
Introduction to statistics -- Graphical representation of data -- Numerical summary of data -- Probability -- Normal distribution -- Estimation -- Hypothesis testing -- Analysis of variance -- Correlation and regression -- Contingency tables and chi-square test -- Index numbers -- Time series -- Forecasting -- Computer analysis.
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