Found of Stat Using R

Catalog description

The purpose of this course is to ensure that students are prepared to use R as a statistical tool and understand the fundamental statistical concepts. This course is divided into two parts: 1) Getting Started with R and 2) Statistics and R. The R portion of the course will prepare students with the skills needed to work with data using the R statistical computing application. This begins with developing a basic understanding of the R working environment. Second, students will be introduced to the necessary arithmetic and logical operators, salient functions for manipulating data, and getting help using R. Next, students will be introduced to the common data structures, variables, and data types used in R. Students will learn how to develop their own R scripts and utilize the various packages available in R for visualization, reporting, manipulation, and statistical analysis. Students will learn how to import data sets and transform and manipulate those datasets for various analytical purposes such as dealing with missing data. Finally, students will learn how to create control structures, such as loops and conditional statements to traverse, sort, merge, and evaluate data. In the second part of the class, basic concepts of probability and statistics will be introduced. We shall study the concepts of population and sample, discuss the difference between population parameters and sample statistics, and how to draw inference from known sample statistics to usually unknown population parameters. We shall study discrete distributions, their means, and standard deviations, paying particular attention to the binomial distribution. We shall also study continuous distributions and their probability density functions, paying special attention to the most central of the continuous distributions, the normal distribution. The Central Limit Theorem will be introduced, and…