This T-test shows the Alternate hypothesis is true in the hypothesis testing process.It also shows the mean value of 31.52205. In this T-test, the P-value is And the percentage value is the confidence interval. The p-value is the probability value significant to the null hypothesis.T-test shows the statistical inferences and the confidence interval.test(sampleDat$G) is the syntax we will apply on the R Studio console.We will use G variable data of data frame sample data for t-test.t,test() function used in R to process the t-test.Next, we will discuss the t-test which is the statistical hypothesis testing process using R.Apart from the Scatter plot, there are several other functions and plots like histograms, line plots, and boxplots are being used for Bivariate data analysis.This scatter plot represents the graph for bivariate analysis.Plot(sampleData$G~sampleData$W,col='blue')
![free stats book r free stats book r](https://i.ebayimg.com/images/g/f4UAAOSwUGpgIbp~/s-l400.jpg)
![free stats book r free stats book r](http://www.textbooksfree.org/Statis9.jpg)
The first step is to set the working directory which will be used as the preferred location to read and write datasets.This section will do hands-on using R studio for college basketball dataset.The practical approach of statistical analysis with R The data file we will use is ‘cbb.csv’ which is college basketball dataset,.We will be downloading an open-source data set from for this demonstration.csv file to R studio for Statistical analysis. Once the Environment is ready, the next step is to import the data set to R workspace.
![free stats book r free stats book r](https://hastie.su.domains/ElemStatLearn/CoverII_small.jpg)
Once the R studio is installed, it can be directly used to develop R script which will work on the installed version of the R language.
![free stats book r free stats book r](https://img.classoos.com/books/book_11860_m_1.jpg)
R Studio can be downloaded and installed from.R Studio provides GUI support along with some enterprise-ready features like Syntax hiliting, debugging, packages, and workspace management.Next, the IDE such as R Studio needs to be installed on the system.The installable file for R can be downloaded from.