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Jim Bidlack - Graduate Seminar SPECIAL LECTURE - Introduction to Data Processing and SAS Beware use of the terms, "statistical difference" and "biological significance" I. Statistics as a scientific tool A. Integration of statistics in publications - tables, graphs, and figures 1. To show absence/presence of significant differences 2. To show, if significant, correlations and regressions 3. To show statistical modeling and prediction equations II. Examples of where statistics may be useful A. GROUP A: 50, 51, 49, 50, 49, 52, 50 AVG = 50 " 0.49 (LSD = 0.00) GROUP B: 25, 26, 24, 25, 23, 27, 25 AVG = 25 " 0.49 STDERR and LSD indicate significant difference B. GROUP A: 10, 80, 210, 40, 1, 4, 5 AVG = 50 " 28.76 (LSD = 50.72) GROUP B: 2, 48, 72, 2, 1, 26, 24 AVG = 25 " 10.21 STDERR and LSD indicate no significant difference C. BROWN POTATO: 0.383, 0.308, 0.394, 0.404 AVG = 0.372 " 0.022 (LSD = 0.0293) RED POTATO: 0.404, 0.340, 0.447, 0.415 AVG = 0.402 " 0.023 STDERR indicates no significant difference but LSD indicates significant difference It is acceptable to use the LSD because of "blocking" (RED values are consistently higher than BROWN values) III. Types of statistics commonly reported in the literature A.

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• Fall '11
• Bidlack
• Statistical significance, significant differences, significant difference, PROC GLM, certain legume*rhizobium interactions

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