This report is the final project in the JHU Regression Modeling Course on Coursera

Part 2 of the project involves evaluating the effectiveness of the supplement types on tooth growth length vs dose levels. This part of the project utilizes the Tooth Growth data in R.

From the Statistical Inference Course on Coursera. This project consists of 2 parts: A simulation experiment to explore inference. Basic inferential analysis using the ToothGrowth data in R. This will be Part 1 of the project. Experiment: The task is to investigate the exponential distribution in R and compare it with the Central Limit Theorem. The exponential distribution will be simulated with rexp(n,lambda), where lambda is the rate parameter. The mean of the exponential distribution and standard deviation is 1/lambda. Lambda is set to 0.2 for all simulations.

Data analysis of NOAA data to determine the costliest weather events in both human cost and property/crop cost.