The simulation presented in this study explores the dynamics of a population model that describes the interaction between grass and grass-eating animals. The model is governed by a system of ordinary differential equations versioned after Lotka-Volterra model and incorporates key parameters such as growth rates, carrying capacity, and predation rates. The primary objectives of this simulation are to investigate the population dynamics over time, conduct sensitivity analysis on model parameters, explore bifurcation behavior, and perform statistical inferences on the simulated data. The simulation reveals intriguing insights into the intricate relationship between grass populations and their predators. Through the analysis of population trajectories, equilibrium points, and sensitivity to parameter variations, the study provides a comprehensive view of how changes in the model's parameters can impact the long-term dynamics of both grass and grass-eater populations. Furthermore, the simulation includes statistical inferences to assess correlations between the populations and hypothesis testing to determine the significance of observed relationships. The results of these statistical analyses shed light on the underlying mechanisms governing the interactions within this ecological system.