This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.
Chapter 1 - Introduction to Probability and Counting
Chapter 2 - Some Probability Laws
Chapter 3 - Discrete Distributions
Chapter 4 - Continuous Distributions
Chapter 5 - Joint Distributions
Chapter 6 – Descriptive Statistics
Chapter 7 – Estimation
Chapter 8 - Inferences on the Mean and Variance of a Distribution
Chapter 9 - Inferences on Proportions
Chapter 10 – Comparing Two Means and Two Variances
Chapter 11 - Sample Linear Regression and Correlation
Chapter 12 - Multiple Linear Regression Models
Chapter 13 - Analysis of Variance
Chapter 14 - Factorial Experiments
Chapter 15 - Categorical Data
Chapter 16 - Statistical Quality Control
Appendix
