ChE253K Spring09 -- ANOVA 1-Way

ChE253K Spring09 -- ANOVA 1-Way - Class Business Pick-up...

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1 ChE 253K Lecture 21 Class Business Pick-up HW, Exams, Please HW09, HW10: Posted Ans Turn-in Credit Midterm 2: Mean: 28.5 (181.6) SD: 2.8 HW 11 – Questions? HW 12 -- Posted Today Your Email – It’s on my ToDo List
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2 ChE 253K Lecture 21 Midterm 2:Mean: 28.5 (181.6) SD: 2.8 100 110 120 130 140 150 160 170 180 190 200 100.0% 99.5% 97.5% 90.0% 75.0% 50.0% 25.0% 10.0% 2.5% 0.5% 0.0% maximum quartile median quartile minimum 200.00 200.00 200.00 200.00 200.00 187.10 179.00 154.85 101.59 0.00 0.00 Quantiles Mean Std Dev Std Err Mean upper 95% Mean lower 95% Mean N 181.59054 28.02497 3.2578366 188.0834 175.09768 74 Moments Column 1 Distributions
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3 ChE 253K Lecture 21 Completely Randomized or One-Way ANOVA Lecture 21 -- Engineering Statistics
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4 ChE 253K Lecture 21 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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5 ChE 253K Lecture 21 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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6 ChE 253K Lecture 21 Example: Analysis Of Materials Example on Text p. 397 – 400 Analysis of tin-plated steel at four labs Observation: Tin content Samples: “Coupons” of material Treatment: Labs A, B, C, D analytical methodology Confounding Factor: Variation along a sheet Sources:
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7 ChE 253K Lecture 21 Ordered vs. Random Sampling Ordered Confounded Randomized Confounding Broken Confounded by systematic variation across the sheet Confounding factor evenly distributed among treatments Sources: Text
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8 ChE 253K Lecture 21 Randomization Is/Isn’t Magic Breaks confounding by other factors, even when they are unknown. Even broken, confounding factors increase variation Better randomizing after blocking “Lab A” gets an equal number of random samples (blue) from each strip block (red)
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9 ChE 253K Lecture 21 Blocked Variability Sequestered Limited Not Representative Blocked vs. Limited Factors Variability between the blocks Important factors not represented Sources: Text
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10 ChE 253K Lecture 21 ANOVA ANalysis Of VAriance Sources:
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This note was uploaded on 02/25/2010 for the course CHE 253k taught by Professor Staff during the Spring '08 term at University of Texas at Austin.

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ChE253K Spring09 -- ANOVA 1-Way - Class Business Pick-up...

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