ChE253K Spring09 -- ANOVA Intro.1

ChE253K Spring09 -- ANOVA Intro.1 - Class Business Midterm...

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1 ChE 253K Lecture 20 Class Business Midterm #2: Back Wednesday HW11: Posted. Due Wednesday or Friday New Section: Engineering Statistics ANalysis Of VAriance (ANOVA) Design Of Experiments (DOE) Quality & Statistical Process Control (SPC)
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2 ChE 253K Lecture 20 Lecture 20 -- Engineering Statistics
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3 ChE 253K Lecture 20 Outline Of This Lecture Sampling and design of experiments ANalysis Of VAriance (ANOVA) Data and model Sums and table F-test and answer
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4 ChE 253K Lecture 20 This Lecture In The Text Sampling and Experimental Design Ch. 12, Sect. 12.1 One-Way ANOVA Completely Randomized Ch. 12, Sect. 12.2 Two-Way ANOVA Randomized Block Ch. 12, Sect. 12.3
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5 ChE 253K Lecture 20 Experimental Design Sources:
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6 ChE 253K Lecture 20 Goals Of Experimental Design To plan a series of experiments yielding data for statistical analysis of affect of “treatment” To control or minimize factors that “confound” conclusions about treatment effects To replace spontaneity with sensibility To increase the efficiency of experimentation
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7 ChE 253K Lecture 20 Variables In DOE & ANOVA Observations are values of the dependant variable – the outcomes Independent variables affect the outcome Treatment is the variable of investigated Factors Confounding factors mask treatment effects Chance “errors ” also affect outcomes
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8 ChE 253K Lecture 20 Treatment Vs. Confounding Factors Limiting Blocking Random sampling Chance variation
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9 ChE 253K Lecture 20 Example: Analysis Of Materials Example on Text p. 397 – 400 Analysis of tin-plated steel at four labs Observation: Tin content
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ChE253K Spring09 -- ANOVA Intro.1 - Class Business Midterm...

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