Probability Points for the t-Distribution
by Oivind Andersson
Experiment!: Planning, Implementing and Interpreting
- Cover
- Title Page
- Copyright
- Dedication
- Preface
- Part One: Understanding the World
- Part Two: Interfering with theWorld
- Chapter 6: Experiment!
- Chapter 7: Basic Statistics
- Chapter 8: Statistics for Experiments
- 8.1 A Teatime Experiment
- 8.2 The Importance of Randomization
- 8.3 One-Sided and Two-Sided Tests
- 8.4 The t-Test for One Sample
- 8.5 The Power of a Test
- 8.6 Comparing Two Samples
- 8.7 Analysis of Variance (ANOVA)
- 8.8 A Measurement System Analysis
- 8.9 Other Useful Hypothesis Tests
- 8.10 Interpreting p-Values
- 8.11 Correlation
- 8.12 Regression Modeling
- 8.13 Summary
- Further Reading
- Chapter 9: Experimental Design
- 9.1 Statistics and the Scientific Method
- 9.2 Designs with One Categorical Factor
- 9.3 Several Categorical Factors: the Full Factorial Design
- 9.4 Are Interactions Important?
- 9.5 Factor Screening: Fractional Factorial Designs
- 9.6 Determining the Confounding Pattern
- 9.7 Design Resolution
- 9.8 Working with Screening Designs
- 9.9 Continuous Factors: Regression and Response Surface Methods
- 9.10 Summary
- Further Reading
- Chapter 10: Phase I: Planning
- Chapter 11: Phase II: Data Collection
- Chapter 12: Phase III: Analysis and Synthesis
- Appendix
- Index
Probability Points for the t-Distribution
The table assumes a one-sided test
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