A handbook of introductory statistical methods
著者
書誌事項
A handbook of introductory statistical methods
（Wiley series in probability and mathematical statistics, . Applied probability and statistics）
John Wiley & Sons, c1987
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注記
Includes index
内容説明・目次
内容説明
This reference work combines a logical development of statistical procedures with the presentation of methods for analyzing data from commonly-occurring experimental situations. Essential formulae are clearly displayed and each procedure is illustrated by a simple numerical example. No calculus is used. Topics include Gaussian, Binomial and Poisson distributions, hypothesis testing, linear regression, linear correlation, completely randomized experiments, contrasts for comparing linear combinations of group means, multiple comparisons, experiments using randomized block and Latin square designs, and matrix operations.
目次
- Definitions
- Sample Mean and Variance: Coefficient of Variation
- Sample and Population Relative Frequency Distributions
- Probability (Continuous Variates)
- Population Mean and Variance: Sample Estimates
- The Simple Linear Transformation of a Variate
- The Addition and Subtraction of Independent Variates
- The Distribution of the Sample Mean
- Statistical Models
- Normal (Gaussian) Distributions
- The Standard Normal (Gaussian) Reference Distribution
- T-Distributions
- Confidence Intervals for the Population Mean of a Normal Distribution and a General Formulation
- Chi-Squared (X2) Reference Distributions
- Confidence Intervals for the Population Variance of a Normal Distribution
- Hypothesis Testing (Significance Testing)
- Hypothesis Testing of the Mean of a Normal Distribution: The Two-Tailed T-Test
- Hypothesis Testing for the Variance of a Normal Distribution: The Two Tailed X2 Test
- Confidence Intervals and Hypothesis Tests Related
- Testing One-Sided Alternative Hypotheses
- Type I and Type II Errors and Power.
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