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ISBN13: 978-0471080411

ISBN10: 0471080411

Cover type:

Edition/Copyright: 82

Publisher: John Wiley & Sons, Inc.

Published: 1982

International: No

ISBN10: 0471080411

Cover type:

Edition/Copyright: 82

Publisher: John Wiley & Sons, Inc.

Published: 1982

International: No

This carefully paced text presents fundamental material for the first course in statistics without sacrificing clarity or depth of understanding. Relates statistical theory to the realities of research and illustrates concepts with specific examples. Appendixes include a math review and numerous worked problems.

Introduction.

Frequency Distributions.

Graphic Representation.

Central Tendency.

Variability.

Normal Distributions and Standard Scores.

Correlation.

Regression and Prediction.

Introduction to Statistical Inference and Probability.

Random Sampling Distributions.

Introduction to Hypothesis Testing.

Comparing the Means of Two Populations: Independent Samples.

Comparing the Means of Two Populations: Dependent Samples.

Statistical Power Analysis.

Estimation.

Inference about Pearson Correlation Coefficients.

Analysis of Variance: The One-Way Design.

Factorial Analysis of Variance: The Two-Factor Design.

The Binomial Test.

Chi-Square and Frequency Data.

Some (Almost) Distribution-Free Tests.

Appendices.

Index.

ISBN10: 0471080411

Cover type:

Edition/Copyright: 82

Publisher: John Wiley & Sons, Inc.

Published: 1982

International: No

This carefully paced text presents fundamental material for the first course in statistics without sacrificing clarity or depth of understanding. Relates statistical theory to the realities of research and illustrates concepts with specific examples. Appendixes include a math review and numerous worked problems.

Table of Contents

Introduction.

Frequency Distributions.

Graphic Representation.

Central Tendency.

Variability.

Normal Distributions and Standard Scores.

Correlation.

Regression and Prediction.

Introduction to Statistical Inference and Probability.

Random Sampling Distributions.

Introduction to Hypothesis Testing.

Comparing the Means of Two Populations: Independent Samples.

Comparing the Means of Two Populations: Dependent Samples.

Statistical Power Analysis.

Estimation.

Inference about Pearson Correlation Coefficients.

Analysis of Variance: The One-Way Design.

Factorial Analysis of Variance: The Two-Factor Design.

The Binomial Test.

Chi-Square and Frequency Data.

Some (Almost) Distribution-Free Tests.

Appendices.

Index.

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