Probability and Statistics for Engineers and ScientistsThis classic, market leading text provides a rigorous introduction to basic probability theory and statistical inference for students with a background in calculus. The new edition features many new exercises and applications based on real data. |
Contents
Probability | 9 |
Random Variables and Probability Distributions | 51 |
Mathematical Expectation | 84 |
Copyright | |
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Probability and Statistics for Engineers and Scientists Ronald E. Walpole,Raymond H. Myers,Sharon L. Myers No preview available - 1998 |
Common terms and phrases
analysis of variance approximately Assume average B₁ B₂ binomial distribution blocks Chapter chi-squared distribution coefficient components computed confidence interval Consider continuous random variable critical region degrees of freedom denote density function determine discrete engineer equal equation error estimate event Example Exercise experimental factor Figure Find the probability frequency gamma distribution given H₁ Hence independent interaction joint probability distribution level of significance linear regression main effects mean and variance mean square measured n₁ n₂ normal distribution null hypothesis number of defectives observations obtain occur outcomes P-value parameter plot Poisson Poisson distribution population mean procedure random sample randomly reject represent the number residuals result sample mean sample space SOLUTION standard deviation statistic sum of squares Suppose t-distribution Table test the hypothesis tion tossed total number x₁ Y₁ zero σ²