library(readxl)
library(ggpubr)
## Loading required package: ggplot2
library(effsize)
library(rstatix)
##
## Attaching package: 'rstatix'
## The following object is masked from 'package:stats':
##
## filter
LowCalorie <- read_excel("C:/Users/tawan/OneDrive - Saint Louis University/AA 5221/Assignment 6/A6Q1.xlsx")
View(LowCalorie)
WeightBefore <- LowCalorie$Before
WeightAfter <- LowCalorie$After
Differences <- WeightAfter - WeightBefore
mean(WeightBefore, na.rm = TRUE)
## [1] 76.13299
median(WeightBefore, na.rm = TRUE)
## [1] 75.95988
sd(WeightBefore, na.rm = TRUE)
## [1] 7.781323
mean(WeightAfter, na.rm = TRUE)
## [1] 71.58994
median(WeightAfter, na.rm = TRUE)
## [1] 70.88045
sd(WeightAfter, na.rm = TRUE)
## [1] 6.639509
hist(Differences,
breaks = 15,
col = "blue",
border = "white")

#Data for the difference scores appears [normally] distributed.
boxplot(Differences,
main = "Distribution of Weight Differences (After - Before)",
ylab = "Difference in Weight",
col = "blue",
border = "darkblue")

# The difference scores boxplot does not have outliers.
shapiro.test(Differences)
##
## Shapiro-Wilk normality test
##
## data: Differences
## W = 0.94757, p-value = 0.3318
#Shapiro-Wilk Difference Scores
#The data is [normally ] distributed, (p = .33).
t.test(WeightBefore, WeightAfter, paired = TRUE, na.action = na.omit)
##
## Paired t-test
##
## data: WeightBefore and WeightAfter
## t = 1.902, df = 19, p-value = 0.07245
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
## -0.4563808 9.5424763
## sample estimates:
## mean difference
## 4.543048
#mean difference is 4.54
cohen.d(WeightBefore, WeightAfter, paired = TRUE)
##
## Cohen's d
##
## d estimate: 0.6284306 (medium)
## 95 percent confidence interval:
## lower upper
## -0.1035207 1.3603820
# the effect is medium to large
# A Dependent T-Test was conducted to determine if there was a difference in weight between Before and After.
#Weight before (M = 76.13, SD = 7.78) were significantly different from weight after (M = 71.58, SD = 6.63), t(19) = 1.90, p > .05.
#The effect size was large, Cohen's d = 0.63.