For junior/senior undergraduates studying engineering, science or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference that is motivated by interesting, relevant applications. Assumes a background in calculus; offers a unique balance of theory and methodology.

Features

• Flexible organization, makes text appropriate for 1 or 2 term courses.
• Accurate, compelling exercise sets-Concepts introduced in exercises and examples are spiraled throughout the exercise sets, contains real data from actually studies.
• Complete detailed case studies-Topics include two-sample inference, 1 and 2 factor ANOVA, multi-factor ANOVA, etc. gives students a real-life application of statistical concepts.
• NEW-Updated discussion of hypothesis testing-New examples and a more detailed discussion of the interpretation of P-values has been added, helps students to grasp this difficult topic.
• NEW-Chapters 11, 12 and 13 significantly reorganized-All are re-written and streamlined to remove computational drudging so that instructors can more quickly focus on the analysis and interpretation of data; also, several new topics have been added including categorical or indicator variables, logistic regression, Poisson regression, allows for a more streamlined discussion of ANOVA.
• NEW-Data CD-Provided free in every text, contains text-specific data files.
• NEW-Increased emphasis on the graphical display of data-The number of graphs and computer output screens has been significantly increased, helps students to see the practical applications of theory and to visualize statistical concepts.