TESTING HYPOTHESES AND ASSESSING GOODNESS OF FIT FIGURES FOR CHAPTER 9 TESTING HYPOTHESES AND ASSESSING GOODNESS OF FIT This chapter in the book includes: 9.1 Introduction 9.2 The Neyman-Pearson Paradigm 9.3 The Duality of Confidence Intervals and Hypothesis Tests 9.4 Generalized Likelihood Ratio Tests 9.5 Likelihood Ratio Tests for the Multinomial Distribution 9.6 The Poisson Dispersion Test 9.7 Hanging Rootograms 9.8 Probability Plots 9.9 Tests for Normality 9.7 Concluding Remarks 9.8 Problems ISBN 0-534-39942-8 Return to Contents. © 2007 Thomson Brooks/Cole, a part of The Thomson Corporation.

Figure 9.1 © 2007 Thomson Brooks/Cole, a part of The Thomson Corporation.

Figure 9.2 © 2007 Thomson Brooks/Cole, a part of The Thomson Corporation.

Figure 9.3 (a) Histogram, (b) hanging histogram, (c) hanging rootogram, and (d) hanging chi-gram for normal fit to serum potassium data. © 2007 Thomson Brooks/Cole, a part of The Thomson Corporation.

Figure 9.4 Uniform-uniform probability plot. © 2007 Thomson Brooks/Cole, a part of The Thomson Corporation.

Figure 9.5 Uniform-triangular probability plot. © 2007 Thomson Brooks/Cole, a part of The Thomson Corporation.

Figure 9.6 Normal probability plot of Michelson's data. © 2007 Thomson Brooks/Cole, a part of The Thomson Corporation.

Figure 9.7 Normal probability plot of 500 pseudorandom variables from a double exponential distribution. © 2007 Thomson Brooks/Cole, a part of The Thomson Corporation.

Figure 9.8 Normal probability plot of 500 pseudorandom variables from a gamma distribution with the shape parameter α = 5. © 2007 Thomson Brooks/Cole, a part of The Thomson Corporation.

Figure 9.9 Gamma probability plot of rainfall distribution. © 2007 Thomson Brooks/Cole, a part of The Thomson Corporation.

Figure 9.10 Normal probability plot of serum potassium data. © 2007 Thomson Brooks/Cole, a part of The Thomson Corporation.