library(tidyverse)
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library(lsr)
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library(broom)
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library(ggplot2)
egzersiz_yapan <- c(18, 20, 22, 19, 17, 21, 23, 20)
egzersiz_yapmayan <- c(25, 28, 30, 27, 26, 29, 31, 28)
stres <- c(egzersiz_yapan, egzersiz_yapmayan)
grup <- factor(c(rep("Yapan", length(egzersiz_yapan)),rep("Yapmayan",
                                                          length(egzersiz_yapmayan))))
egzersiz_veri <- data.frame(grup, stres)
egzersiz_veri
##        grup stres
## 1     Yapan    18
## 2     Yapan    20
## 3     Yapan    22
## 4     Yapan    19
## 5     Yapan    17
## 6     Yapan    21
## 7     Yapan    23
## 8     Yapan    20
## 9  Yapmayan    25
## 10 Yapmayan    28
## 11 Yapmayan    30
## 12 Yapmayan    27
## 13 Yapmayan    26
## 14 Yapmayan    29
## 15 Yapmayan    31
## 16 Yapmayan    28
sonuc_egzersiz <- wilcox.test(stres ~ grup, 
                              data = egzersiz_veri)
## Warning in wilcox.test.default(x = DATA[[1L]], y = DATA[[2L]], ...): cannot
## compute exact p-value with ties
sonuc_egzersiz
## 
##  Wilcoxon rank sum test with continuity correction
## 
## data:  stres by grup
## W = 0, p-value = 0.0009229
## alternative hypothesis: true location shift is not equal to 0

egzersiz yapan ve yapmayan öğrencilerin stres düzeyleri arasında anlamlı bir fark bulunmuştur. (w = 0, p < .001)