Description

Book Synopsis
This text combines lucid and statistically engaging exposition, graphic and applied examples, and realistic exercise settings, to take students past the mechanics of introductory-level statistical techniques into the realm of practical data analysis, and inference-based problem solving.

Trade Review
"...a superb book....Wild & Seber have now raised the standard of introductory textbooks another notch." (Australian & New Zealand, 2000)

Table of Contents
What Is Statistics?

Tools for Exploring Univariate Data.

Exploratory Tools for Relationships.

Probabilities and Proportions.

Discrete Random Variables.

Continuous Random Variables.

Sampling Distributions of Estimates.

Confidence Intervals.

Significance Testing: Using Data to Test Hypotheses.

Data on a Continuous Variable.

Tables of Counts.

Relationships between Quantitative Variables: Regression and Correlation.

Control Charts.

Time Series.

Appendices.

References.

Answers to Selected Problems.

Index.

Chance Encounters A First Course in Data Analysis

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    A Hardback by C. J. Wild, George A. F. Seber

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Chance Encounters A First Course in Data Analysis by C. J. Wild

      Publisher: John Wiley & Sons Inc
      Publication Date: 14/12/1999
      ISBN13: 9780471329367, 978-0471329367
      ISBN10: 0471329363
      Also in:
      Mathematics Probability and statistics

      Description

      Book Synopsis
      This text combines lucid and statistically engaging exposition, graphic and applied examples, and realistic exercise settings, to take students past the mechanics of introductory-level statistical techniques into the realm of practical data analysis, and inference-based problem solving.

      Trade Review
      "...a superb book....Wild & Seber have now raised the standard of introductory textbooks another notch." (Australian & New Zealand, 2000)

      Table of Contents
      What Is Statistics?

      Tools for Exploring Univariate Data.

      Exploratory Tools for Relationships.

      Probabilities and Proportions.

      Discrete Random Variables.

      Continuous Random Variables.

      Sampling Distributions of Estimates.

      Confidence Intervals.

      Significance Testing: Using Data to Test Hypotheses.

      Data on a Continuous Variable.

      Tables of Counts.

      Relationships between Quantitative Variables: Regression and Correlation.

      Control Charts.

      Time Series.

      Appendices.

      References.

      Answers to Selected Problems.

      Index.

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