General statistics
著者
書誌事項
General statistics
Wiley, c1992
2nd ed
- pbk.
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注記
Includes bibliographical references (p. A 27-A 29) and index
内容説明・目次
- 巻冊次
-
pbk. ISBN 9780471559153
内容説明
This volume is designed as a first course in statistics with an emphasis on statistical inference. The concepts are introduced and reinforced with examples and exercises covering a wide range of fields, from sports to medicine. This edition includes an expanded treatment of P values.
目次
- DESCRIPTIVE STATISTICS
- Organization of Data
- Measures of Central Tendency, Dispersion, and Position
- PROBABILITY
- Probability
- Probability Distributions for Discrete Random Variables
- Probability Distributions for Continuous Random Variables--The Normal Distribution
- STATISTICAL INFERENCE
- Introduction to Statistical Inference Using the Standard Normal Distribution
- Statistical Inference Using Student's t and Chi-Square Distributions
- Inference Concerning Two Population Parameters
- Regression and Correlation
- Analysis of Variance
- Analysis of Categorical Data
- Nonparametric Statistics
- Appendices
- Answers to Selected Exercises
- Subject Index.
- 巻冊次
-
ISBN 9780471619017
内容説明
This is a first course in statistics with an emphasis on statistical inference. Concepts are introduced and reinforced with examples and exercises from a wide range of fields from sports to medicine. The treatment of P values is expanded and answers to hypothesis testing are given both in P value, and in a more traditional approach. Optional sections on sampling, box-and-whisker plots, counting techniques and designs of experiments are included.
目次
DESCRIPTIVE STATISTICS. Organization of Data. Measures of Central Tendency, Dispersion, and Position. PROBABILITY. Probability. Probability Distributions for Discrete Random Variables. Probability Distributions for Continuous Random Variables--The Normal Distribution. STATISTICAL INFERENCE. Introduction to Statistical Inference Using the Standard Normal Distribution. Statistical Inference Using Student's t and Chi-Square Distributions. Inference Concerning Two Population Parameters. Regression and Correlation. Analysis of Variance. Analysis of Categorical Data. Nonparametric Statistics. Appendices. Answers to Selected Exercises. Subject Index.
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