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.
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Collection and Analysis of Information 1
Continuous Probability Models
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accept additive analysis appropriate approximate assume average batch block calculate called coefficient column combinations components confidence interval consider Construct corresponding course defective degrees of freedom determine diagram discuss display distribution effects engineer equal Error estimate example Exercise experiment experimental fact factor Figure fitted four fraction frequency function given illustration important improve increase independent interaction leads least length limits linear mean measurements methods Note observations obtain parameters particular percent plot points possible probability production provides random variable regression model reject residuals respective response runs sample sample mean selected significance standard deviation statistics strength sum of squares Suppose Table taken temperature tion treatment units usually variance weight zero