This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.
CHAPTER 1: INTRODUCTION
CHAPTER 2: DESCRIPTIVE STATISTICS
CHAPTER 3: PROBABILITY
CHAPTER 4: DISCRETE RANDOM VARIABLES
CHAPTER 5: CONTINUOUS RANDOM VARIABLES
CHAPTER 6: JOINT PROBABILITY DISTRIBUTIONS AND SAMPLING DISTRIBUTIONS
CHAPTER 7: ESTIMATION USING CONFIDENCE INTERVALS
CHAPTER 8: TESTS OF HYPOTHESES
CHAPTER 10: SIMPLE LINEAR REGRESSION
CHAPTER 11: MULTIPLE REGRESSION ANALYSIS
CHAPTER 12: MODEL BUILDING
CHAPTER 13: PRINCIPLES OF EXPERIMENTAL DESIGN
CHAPTER 14: ANALYSIS OF VARIANCE FOR DESIGNED EXPERIMENTS
CHAPTER 15: NONPARAMETRIC STATISTICS
CHAPTER 16: STATISTICAL PROCESS AND QUALITY CONTROL
CHAPTER 17: PRODUCT AND SYSTEM RELIABILITY
People also search:
statistics for engineering and the sciences 5th
statistics for engineering and the sciences 5th edition
statistics for engineering and the sciences 5th pdf
statistics for engineering and the sciences 5th edition pdf
statistics for engineering and the sciences
