Reading scores before and after vocabulary training for 14 employees who did not complete high school

Description

Data for Exercise 7.80

Usage

Vocab

Format

A data frame with 14 observations on the following 2 variables.

First

a numeric vector

Second

a numeric vector

Source

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Duxbury

Examples

str(Vocab)
attach(Vocab)
DIF <- Second - First
qqnorm(DIF)
qqline(DIF)
shapiro.test(DIF)
t.test(Second,First,paired=TRUE)
detach(Vocab)
remove(DIF)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
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> library(BSDA)
Loading required package: e1071
Loading required package: lattice

Attaching package: 'BSDA'

The following object is masked from 'package:datasets':

    Orange

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/BSDA/Vocab.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Vocab
> ### Title: Reading scores before and after vocabulary training for 14
> ###   employees who did not complete high school
> ### Aliases: Vocab
> ### Keywords: datasets
> 
> ### ** Examples
> 
> str(Vocab)
'data.frame':	14 obs. of  2 variables:
 $ First : int  84 55 43 64 72 65 72 52 49 80 ...
 $ Second: int  86 52 50 72 70 67 80 50 62 81 ...
> attach(Vocab)
> DIF <- Second - First
> qqnorm(DIF)
> qqline(DIF)
> shapiro.test(DIF)

	Shapiro-Wilk normality test

data:  DIF
W = 0.90487, p-value = 0.1327

> t.test(Second,First,paired=TRUE)

	Paired t-test

data:  Second and First
t = 2.2958, df = 13, p-value = 0.03896
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 0.2275911 7.4866946
sample estimates:
mean of the differences 
               3.857143 

> detach(Vocab)
> remove(DIF)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>