Just found some nice and easy three day crash course which will be an easy task to pick up Statistics with the help of some programming too using useful statistical tool called R. Rstudio being an IDE which has fine UI and easy utility.
STATISTICS: Multivariate analysis with Bull Riders DAY 3
Multivariate analysis with Bull Riders
This is the final class of a three day crash course i’ve collected this material from edX where you can get the basic foundation of data analysis. This short snippet will help you get enough practicality of statistical implementation of correlation. Let’s go through it.
Look into Data
The data can be found here: https://courses.edx.org/c4x/UTAustinX/UT.7.01x/asset/BullRiders.csv
lets us check the data
library(SDSFoundations)
bull<-BullRiders
head(bull)
Continue reading “STATISTICS: Multivariate analysis with Bull Riders DAY 3”
Statistics Crash Course Day 2
To View the Datasets
library(help="datasets")t-test
A t-test is a statistic that checks if two means are reliably different from each other
x <- c(1.2,3.4,1.3,-2.1,5.6,2.3,3.2,2.4,2.1,1.8,1.7,2.2)
y <- c(2.4,5.7,2.0,-3,13,5,6.2,4.8,4.2,3.5,3.7,5.2)
t.test(x,y)
Continue reading "Statistics Crash Course Day 2"