Stat-403/Stat-650 : Intermediate Sampling and Experimental Design ...
Stat-403/Stat-650 : Intermediate Sampling and Experimental Design ...
Stat-403/Stat-650 : Intermediate Sampling and Experimental Design ...
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SAS: GLM3: ANOVA using SAS: specifying error terms4: ANOVA using SAS: How to pool error terms6: Using plot means for ANOVA32: Analysing a split-plot in time with the properrepeated measures ANOVA40: Finding the expected mean squares <strong>and</strong> theproper error terms with SAS45: Calculating contrast F-tests when SAS will not46: GLM Comparing regression lines57: Interpreting main effects when a two-wayinteraction is present59: ANOVA: Coefficients for contrasts <strong>and</strong> meansof incomplete factorial designs60: MANOVA: Profile Analysis – an exampleusing SASSAS: Graph38: Plotting error bars with SAS/Graph42: Labelling curves in SAS/GRAPHSAS: MIXED59: ANOVA: Coefficients for contrasts <strong>and</strong> meansof incomplete factorial designsSAS: NLIN39: A repeated measures example56: The use of indicator variables in non-linearregressionSAS: REG8: St<strong>and</strong>ard errors for predicted values frommultiple regression18: Multiple regression: selecting the best subsetShadow Lengths35: The computation of Tree Shadow LengthsSplit-Plot <strong>Design</strong>6: Using plot means for ANOVA17: What is the design?32: Analysing a split-plot in time with the properrepeated measures ANOVA34: When are blocks pseudo-replicates?55: Displaying factor relationships in experimentsSt<strong>and</strong>ard Errors8: St<strong>and</strong>ard errors for predicted values frommultiple regression11: Sample sizes: for one mean43: St<strong>and</strong>ard error formulas for cluster sampling(unequal cluster sizes)58: On the presentation of statistical results: asynthesis59: ANOVA: Coefficients for contrasts <strong>and</strong> meansof incomplete factorial designsSYSTAT9: Reading category variables with statisticssoftwaret-distribution15: Using SAS to obtain probability values for F-,t-, <strong>and</strong> χ 2 statisticst-test16: ANOVA: Contrasts viewed as t-tests27: When the t-test <strong>and</strong> the F-test are equivalentTreatment Unit2: The importance of replication in analysis ofvariance5: Underst<strong>and</strong>ing replication <strong>and</strong> pseudoreplication17: What is the design?34: When are blocks pseudo-replicates?55: Displaying factor relationships in experimentsType I & II errors30: Interpretation of probability p-values37: A general description of hypothesis testing <strong>and</strong>power analysisWATFILE24: Reading WATFILE file into SASWithin Sums of Squares25: ANOVA: The within sums of squares as anaverage variance28: Simple regression with replication: testing forlack of fit646