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Statistical techniques in business and economics. Douglas A. Lind et al.

By: Contributor(s): Marshal, William G | Wathen, Samuel AMaterial type: TextTextPublisher: New York: McGraw-Hill Education, 2015Edition: 16th edDescription: xxx, 830 p.: ill.; 28 cmISBN: 9789814646529DDC classification: LOC classification: HA29.L74(16e)
Contents:
Contents: What is statistics? -- Describing data: frequency tables, frequency distributions and graphic presentation -- Describing data: numerical measures -- Describing data: displaying and exploring data -- A survey of probability concepts -- Discrete probability distributions -- Continuous probability distributions -- Sampling methods and the central limit theorem -- Estimation and confidence intervals -- One-sample tests and hypothesis -- Two-sample tests of hypothesis -- Analysis of variance -- Correlation and linear regression -- Multiple regression analysis -- Nonparametric methods: nominal level hypothesis test -- Nonparametric methods: analysis of ordinal data -- Index numbers -- Time series and forecasting -- Statistical process control and quality management -- An introduction to decision theory.
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Books Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY
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Books Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY
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HF1416.C.375(17e) International marketing. / HF1416.C.3751(17e) International marketing. / HA29.L74(16e) Statistical techniques in business and economics. HA29.L741(16e) Statistical techniques in business and economics. HD4901/B67451(7e) Labor economics. / HB171.5.S6276(8e) Economics / HB171.5.S62761(8e) Economics /

Includes index, glossary and appendix

Contents: What is statistics? -- Describing data: frequency tables, frequency distributions and graphic presentation -- Describing data: numerical measures -- Describing data: displaying and exploring data -- A survey of probability concepts -- Discrete probability distributions -- Continuous probability distributions -- Sampling methods and the central limit theorem -- Estimation and confidence intervals -- One-sample tests and hypothesis -- Two-sample tests of hypothesis -- Analysis of variance -- Correlation and linear regression -- Multiple regression analysis -- Nonparametric methods: nominal level hypothesis test -- Nonparametric methods: analysis of ordinal data -- Index numbers -- Time series and forecasting -- Statistical process control and quality management -- An introduction to decision theory.

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