The practice sheet titled StatisticMarks
Data.csv downloaded from Link. – Download
Sheet
About the Data Sheet - The data in this sheet is related to marks scored by 100 Students in a Statistical Test.
About the Data Sheet - The data in this sheet is related to marks scored by 100 Students in a Statistical Test.
Based on the data, we will use R
Software Statistical functions to analyze the descriptive
statistics.
In the Data Sheet, we have Data from
A2:A101, A1 being the header of the Data. I have stored the StatisticMarks.csv
file in Working Directory on my Desktop.
setwd("C:/Users/Rajesh Prabhakar/Desktop/R")
For inputting or reading Data from
“StatisticMarks.csv” file, R Command would be
StatMarks=read.csv("StatisticMarks.csv")
Kurtosis
A statistical
measure used to describe the distribution of observed data around the mean. It
is sometimes referred to as the "volatility of volatility."
Used generally
in the statistical field, kurtosis describes trends in charts. A high kurtosis
portrays a chart with fat tails and a low, even distribution, whereas a low
kurtosis portrays a chart with skinny tails and a distribution concentrated
toward the mean.
In R Statistical Software, Skewness is represented by
function “kurtosis”. For kurtosis Load e1071 package or PerformanceAnalytics
Package
kurtosis( )
In the Data Sheet, we have Data from A2:A101, A1
being the header of the Data titled StatisticsMarks.
kurtosis(StatMarks$StatisticsMarks)
StatMarks is the name of the variable in which
we stored the data followed by $ sign and column header of the Data i.e.
StatisticsMarks.
Remember the title of the column should be
exactly same including the large caps & small caps or else it will give
error.
In R the file names, column headers and row
headers should exactly match the same or else the function will give errors
The result of this function in R Console is
|
kurtosis(StatMarks$StatisticsMarks)
[1] 1.556244
|
