Optimized Delivery Route using Genetic Algorithm: Cost cutting for e-commerce

We’re going to analyze the ToothGrowth data in the R datasets package. Majorly the below four points will be discussed. 1.Load the ToothGrowth data and perform some basic exploratory data analyses 2.Provide a basic summary of the data 3.Use confidence intervals and/or hypothesis tests to compare tooth growth by supplement and dose. 4.Conclusions and the assumptions needed for the conclusions

This post will take you through a very interesting and one of the most powerful theorem in Statistics, the Central Limit Theorem (CLT). The results of the comparison shows, that the normal distribution is indeed the father of all distributions. So, lets explore more on this fact by some simulations in R

Storm and other natural calamities always causes a great level of distruction and economic loss for any country. Though materialistic loss one can recover over a period of time but human life is more precious than anything. Since these calamities are not avoidable even if we predict it in advance but we can always save many life’s with appropiate pre-cautions. This preliminary analysis of U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database data is about answering the below questions: 1.Across the United States, which types of events (as indicated in the EVTYPE variable) are most harmful with respect to population health ? 2.Across the United States, which types of events have the greatest economic consequences ?

Peer Assessment 1