Computational Handbook of Statistics by James L. Bruning
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Computational Handbook of Statistics
Summary
Features a step-by-step approach to statistical analysis. Includes illustrative examples from the behavioral and social sciences - applicable to education as well as a broad range of other fields.
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Computational Handbook of Statistics Summary
Table of Contents
1. Organizing Data and Some Simple Computations.
2. Confidence Intervals.
3. Correlation and Related Topics.
4. Analysis of Variance.
5. Supplemental Computations for Analysis of Variance.
6. Multivariate Analyses.
7. Nonparametric Tests, Miscellaneous Tests of Significance, and Indexes of Relationships.
Appendices.
Normal-Curve Areas.
Critical Values of "Student's" t Statistic.
Critical Values for Sandler's A Statistic.
Values of the Chi-Square Statistic.
Probabilities of the F Distribution.
Fisher's z Transformation for Pearson's r Correlation Coefficient.
Critical Values of Pearson's r Correlation Coefficient for Five Alpha Significance Levels.
Critical Values of the U Statistic of the Mann-Whitney Test.
Critical Values for Hartley's Maximum F Ratio Significance Test for Homogeneity of Variances.
Significant Studentized Ranges for Duncan's New Multiple-Range Test.
Significant Studentized Ranges for the Newman-Keuls' and Tukey Mulitple-Comparison Tests.
Dunnett's Test: Comparison of Treatment Means with a Control.
Critical Values of Wilcoxon's t Statistic for the Matched- Pairs, Signed-Ranks Test.
Coefficients for Orthogonal Polynomials.
Cumulative Probability Distribution for r', the Total Number of Runs Up or Down.
Sample Size and Power.
Additional information
CIN0673990850G
9780673990853
0673990850
Computational Handbook of Statistics by James L. Bruning
Used - Good
Hardback
Pearson Education (US)
1999-12-09
376
N/A
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