Applied Statistics for Engineers and Physical Scientists"Written by two of the leading figures in statistics, this highly regarded volume thoroughly addresses the full range of required topics." provides early discussed fundamental concepts such as variability, graphical representation of data, and randomization and blocking in design of experiments. provides a thorough introduction to descriptive statistics, including the importance of understanding variability, representation of data, exploratory data analysis, and time-sequence plots. explores principles of probability, probability distributions, and sampling distribution theory. discusses regression, design of experiments and their analysis, including factorial and fractional factorial designs. |
Contents
Collection and Analysis of Information | 1 |
Representation of Data | 13 |
3 | 31 |
Copyright | |
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Common terms and phrases
A₂ analysis ANOVA table approximate assume B₁ B₂ batch binomial distribution block calculate central composite design coefficient column components confidence interval consider control charts control limits cusum data set degrees of freedom determine discuss dot diagram engineer estimate example Exercise experimental explanatory variable factorial experiment Figure fitted values frequency histogram function H₁ histogram independent interaction Latin square levels of factor linear regression model main effects measurements n₁ n₂ normal distribution observations obtain order statistics P₁ parameters percent confidence interval percentile points Poisson distribution probability production quantiles r₁ random sample random variable reject relative frequency residuals response sample mean scatter plot selected significance level Source SS df ẞ₁ SSError SSTO standard deviation statistics sum of squares temperature tion weight x₁ Y₁ Y₂ zero μ₁ Σ Σ σ²