Homework 3 (30 points) STAT 310 Name(s) ___SOLUTION_____________ Due: Wednesday, February 27th by 4pm 1. An entomologist conducted an experiment on the drinking rate energetics of honeybees to determine the effects of ambient temperature and viscosity of the liquid on energy consumption by the honeybee. The temperature levels were 20o, 30O and 40o. This viscosity of the liquid was controlled by the sucrose concentrations, which were 20, 40 and 60 percent of total dissolved solids in the drinking liquid for the bees. The entomologist recorded the energy expended by the bees as joules/second. The data are given in the file Honeybees.jmp on the course website. a. Give the statistical model for this scenario. Be sure to fully explain each component. (4 points) yijk = µ + αi + βj + αβij + εijk i = 1, 2, 3; j = 1, 2, 3; k = 1, 2, 3 where yijk is the energy expended from the kth honeybee getting the ith temperature and jth sucrose concentration µ is the overall mean energy expended αi is the effect of the ith temperature βj is the effect of the jth sucrose concentration αβij is the interaction effect of the ith temperature and the jth sucrose concentration εijk is the random error associated with the kth observation getting the ith treatment and the jth sucrose concentration b. Determine whether a significant interaction exists between temperature and viscosity of the liquid. Based on your answer, should you proceed by looking at the interaction or main effects? Include the appropriate F-statistic and p-value associated with determining whether the interaction is significant. Provide a detailed sketch of or paste your JMP output below. (4 points) F = 7.4961 p-value = 0.0010 There is a significant temperature and viscosity interaction so we should continue by looking at the interaction. 1 c. Using appropriate methods, determine whether or not the assumptions of constant variance and normality have been violated. Provide a detailed sketch of or paste your JMP output below. (3 points) Normality – Assumption of normality has not been violated. The points follow the reference line rather well and the histogram is approximately bell-shaped. Constant Variance – Assumption has not been violated. Horizontal band is present. d. Depending on your answer to part b, carry out the remainder of the analysis. That is, if you found significant effects, where do the differences exist? Provide a detailed sketch of or paste your JMP output below. (4 points) There appears to be a significant difference between the 40 degree temperature/60% sucrose treatment and everything else. The 30/60 and 40/40 treatments are not significantly different from one another. The 40/40 and 30/40 treatments are not significantly difference from one another. The 20/60, 40/20, 30/20, and 20/40 treatments are not significantly different from one another. The 20/40 and 20/20 treatments are not significantly different from one another. 2 2. A field plot experiment was conducted to evaluate the interaction between timing of nitrogen application to the soil (early, optimum, late) and two levels of a nitrification inhibitor (none, 0.5 lb/acre). The inhibitor delays conversion of ammonium forms of nitrogen into a more mobile nitrate form to reduce leaching losses of fertilizer-derived nitrates. The nitrogen was supplied as pulse-labeled 15N through a drip irrigation system at an early, an optimum, and a late date of application. The data collected are percent of 15N taken up by sweet corn plants grown on the plots and can be found in the file Nitrogen.jmp on the course website. a. Give the statistical model for this scenario. Be sure to fully explain each component. (4 points) yijk = µ + αi + βj + αβij + ρk + εijk i = 1, 2, 3; j = 1, 2; k = 1, 2, 3 yijk is the percent of 15N in the kth block for the ith timing and the jth inhibitor µ is the overall mean percent of 15N αi is the effect of the ith timing βj is the effect of the jth inhibitor αβij is the interaction effect of the ith timing and the jth inhibitor ρk is the effect of the kth block εijk is the random error associated with the kth block for the ith timing and jth inhibitor b. Determine whether a significant interaction exists between timing of nitrogen application to the spoil and levels of nitrification. Based on your answer, should you proceed by looking at the interaction or main effects? Include the appropriate Fstatistic and p-value associated with determining whether the interaction is significant. Provide a detailed sketch of or paste your JMP output below. (4 points) F = 27.1189 p-value = 0.0001 There is a significant interaction between timing of nitrogen and the level of nitrification. Therefore, the interaction should be examined. 3 c. Using appropriate methods, determine whether or not the assumptions of constant variance and normality have been violated. Provide a detailed sketch of or paste your JMP output below. (3 points) Normality – The assumption of normality seems to hold. The points follow the reference line and the histogram Constant Variance – There could be a problem with constant variance, but the pattern isn’t too prominent. d. Depending on your answer to part b, carry out the remainder of the analysis. That is, if you found significant effects, where do the differences exist? Provide a detailed sketch of or paste your JMP output below. (4 points) The Early/None treatment is significantly different from all other treatment combinations. 4