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A statistics homework assignment for a graduate-level statistics course. The assignment involves analyzing the effect of nitrogen density on nitrogen uptake by four crops using an experiment with 12 nitrogen*crop treatment combinations, four replications per combination, and acetylene reduction measurements. Students are required to create exploratory plots and tables, build a full model, perform diagnostic tests, and compute anova tables for both raw and transformed data. They will also test for significant additive and interaction effects, compute lsd groupings, and comment on treatment combinations.
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Stat 502 Homework 7 Assigned 11/18/ Due 11/25/
(a) Make some exploratory plots and tables describing the data. (b) Write a full model for the experiment, explain the terms, and compute the ANOVA table. (c) Perform diagnostic tests and find an appropriate transformation of the data. Compute the ANOVA table for the transformed data and perform diagnostic checks. (d) After applying a transformation, test for significant additive crop and nitrogen effects, as well as crop*nitrogen interaction effects. (e) Compute the LSD for each factor, and make LSD groupings as described in class. De- scribe any interaction in terms of how the effects of nitrogen differ across the levels of crop. Feel free to perform t-tests to analyze any interaction, but you aren’t required to do so for this homework. (f) Comment on the responses from treatment combinations (a,50) and (a,100). Such a phenomenon is possible if the presence of a threshold level of nitrogen in the plant completely inhibits Acetylene reduction. How does this affect the assumptions about homogeneity of the variances? Can you think of a way to analyze the data to get around this problem? (Hint: think of analyzing a subset of the treatment combinations).
(a) Recall the decomposition based on the additive model:
y − 1 y¯··· = ˆa + ˆb + ˆ
Show that the vectors on the right-hand side of the equation are orthogonal, and that SSTotal=SSA+SSB+SSE. (b) Show the analogous result for the decomposition based on the interaction model.