An accessible introduction to the mathematics of probability and statistics for students with a background in calculus. Numerous applications help to explain and motivate the concepts. This revision features a more flexible organization to better meet the needs of one or two semester courses requiring varying levels of rigor. Easier than Hogg/Craig.

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Key Benefit: An accessible introduction to the mathematics of probability and statistics with numerous applications to help explain and motivate the concepts. Key Topics: Covers probability, discrete and continuous distributions, and Sampling Distribution Theory. Also covers estimation, tests of statistical hypotheses, linear models and quality improvements through statistical methods.

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