1) "Global" Analysis: Based on AIC values, which detection function is best for your data? Half-normal key, cosine adjustment 2) What are the estimates for density D and number of pellet groups N in the study area (point estimate, lower 95% CI, and upper 95% CI for each) based on "Global" analysis? 95% confidence intervals Number of transects (# samples, k): 84 Total meters of transects (Effort, L): 4200.0 Total number of pellet groups detected (# observations, n): 659.00 Estimated pellet group density D (pellets/km2): 73868 Estimated number of pellet groups in study area, N: 517080 %CV for density estimate: 10.27 ESW (Effective Strip Width, cm): 106.21 Encounter rate n/L: 0.15690 3) Which model is best supported based on AIC? Low AIC is best. Record the overall model AIC from the Analysis Summary window for the "Density Only" and "Detection and Density Differ" models here. Indicate the model you will choose (the Delta AIC gives "0" for the best model and relative values for the rest, which is as useful as the actual values): AIC (DDD model): 6894.64 - I chose DDD. AIC (DO model): 6919.64 4) Using the model selected by the AIC test, DDD or DO, record the following: Pellet group density (point estimate and 95% CI) for CC: 111,570 (81901, 151980) Pellet group density (point estimate and 95% CI) for WO: 90428 (69768, 0.11721) Pellet group density (point estimate and 95% CI) for YS: 23081 (14739, 36145) POOLED Pellet group density (point estimate and 95% CI): 55719 (4638