Learn R Programming

gpk (version 1.0)

AIDS: AIDS Data Set

Description

A : Sr. no B : Pre test score of the student C : Post test score of the student D : Subject Specialization in code numbers 1: Chemistry (Special) 2: Botany (Special) 3: Microbiology (SYBSc level) 4: Microbiology (Special level) 5: Zoology (Special) E: Subject name

Usage

data(AIDS)

Arguments

Format

A data frame with 72 observations on the following 5 variables.
SR.NO
Serial Number
PRE.TEST
Pre-test
POST.TEST
Post-test
Sub.Code
Subject code
Subject
a factor with levels Bot Chem Micro Sy Micro TY Zoology

Source

http://ces.iisc.ernet.in/hpg/nvjoshi/statspunedatabook/databook.html

Details

In disease management the proverb 'prevention is better than cure' is very relevant. Awareness is the first step in prevention. Hence any materials prepared to enhance awareness constitute a potent weapon in the hands of public health personnel. Two questions are of interest. Is the post-test score significantly higher than the pretest score? Are differences uniform across subjects and years?

Examples

Run this code
data(AIDS)
head(AIDS)
t.test(AIDS$PRE.TEST,AIDS$POST.TEST,var.equal=TRUE)
t.test(AIDS$PRE.TEST,AIDS$POST.TEST,var.equal=FALSE)

Run the code above in your browser using DataLab