Description

Book Synopsis
An updated and revised edition of the popular introduction to statistics for students of economics or business, suitable for a one-- or two--semester course. Presents an approach that is generally available only in much more advanced texts, yet uses the simplest mathematics consistent with a sound presentation.

Table of Contents
BASIC PROBABILITY AND STATISTICS.

The Nature of Statistics.

Descriptive Statistics.

Probability.

Probability Distributions.

Two Random Variables.

INFERENCE FOR MEANS AND PROPORTIONS.

Sampling.

Point Estimation.

Confidence Intervals.

Hypothesis Testing.

Analysis of Variance (ANOVA).

REGRESSION: RELATING TWO OR MORE VARIABLES.

Fitting a Line.

Simple Regression.

Multiple Regression.

Regression Extensions.

Correlation.

TOPICS IN CLASSICAL AND BAYESIAN INFERENCE.

Nonparametric and Robust Statistics.

Chi-Square Tests.

Maximum Likelihood Estimation.

Bayesian Inference.

Bayesian Decision Theory.

Appendices.

Tables.

References.

Answers to Odd-Numbered Problems.

Glossary of Common Symbols.

Index of Examples and Problems.

Index.

Introductory Statistics

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    A Hardback by Thomas H. Wonnacott, Ronald J. Wonnacott

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      Book details

      Publisher John Wiley & Sons Inc
      Published 29 April 1990
      ISBN-13 9780471615187
      978-0471615187
      ISBN-10 0471615188

      Description

      Book Synopsis
      An updated and revised edition of the popular introduction to statistics for students of economics or business, suitable for a one-- or two--semester course. Presents an approach that is generally available only in much more advanced texts, yet uses the simplest mathematics consistent with a sound presentation.

      Table of Contents
      BASIC PROBABILITY AND STATISTICS.

      The Nature of Statistics.

      Descriptive Statistics.

      Probability.

      Probability Distributions.

      Two Random Variables.

      INFERENCE FOR MEANS AND PROPORTIONS.

      Sampling.

      Point Estimation.

      Confidence Intervals.

      Hypothesis Testing.

      Analysis of Variance (ANOVA).

      REGRESSION: RELATING TWO OR MORE VARIABLES.

      Fitting a Line.

      Simple Regression.

      Multiple Regression.

      Regression Extensions.

      Correlation.

      TOPICS IN CLASSICAL AND BAYESIAN INFERENCE.

      Nonparametric and Robust Statistics.

      Chi-Square Tests.

      Maximum Likelihood Estimation.

      Bayesian Inference.

      Bayesian Decision Theory.

      Appendices.

      Tables.

      References.

      Answers to Odd-Numbered Problems.

      Glossary of Common Symbols.

      Index of Examples and Problems.

      Index.

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