Statistics for economics and management / Gerald Keller

By: Keller, Gerald [author]Material type: TextTextPublication details: Andover : Cengage Learning, c2012Description: 1057 pages : illustrations ; 24 cmISBN: 9789814384551Subject(s): ECONOMICS -- STATISTICAL METHODS | MANAGEMENT -- STATISTICAL METHODSLOC classification: HD 30.215 .K45 2012
Contents:
What is statistics? -- Graphical descriptive techniques I -- Graphical descriptive techniques II -- Numerical descriptive techniques -- Data collection and sampling -- Probability -- Random variables and discrete probability distributions -- Continuous probability distributions -- Sampling distributions -- Introduction to estimation -- Introduction to hypothesis testing -- Inference about a population -- Inference about comparing two populations -- Analysis of variance -- Chi-squared tests -- Simple linear regression and correlation -- Multiple regression -- Model building -- Nonparametric statistics -- Time-series analysis and forecasting -- Statistical process control -- Decision analysis -- Conclusion
Summary: Business are increasingly using statistical techniques to convert data into information.
Item type: Books
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Item type Current library Home library Collection Shelving location Call number Copy number Status Date due Barcode
Books Books LRC - Annex
National University - Manila
Gen. Ed. - CBA General Circulation GC HD 30.215 .K45 2012 c.1 (Browse shelf (Opens below)) c.1 Available NULIB000007524
Books Books LRC - Annex
National University - Manila
Gen. Ed. - CBA General Circulation GC HD 30.215 .K45 2012 c.2 (Browse shelf (Opens below)) c.2 Available NULIB000007525

Includes index.

What is statistics? -- Graphical descriptive techniques I -- Graphical descriptive techniques II -- Numerical descriptive techniques -- Data collection and sampling -- Probability -- Random variables and discrete probability distributions -- Continuous probability distributions -- Sampling distributions -- Introduction to estimation -- Introduction to hypothesis testing -- Inference about a population -- Inference about comparing two populations -- Analysis of variance -- Chi-squared tests -- Simple linear regression and correlation -- Multiple regression -- Model building -- Nonparametric statistics -- Time-series analysis and forecasting -- Statistical process control -- Decision analysis -- Conclusion

Business are increasingly using statistical techniques to convert data into information.

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