yagmur zere

library(tidyverse)

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library(lsr)

## Warning: package 'lsr' was built under R version 4.5.2

library(broom)

## Warning: package 'broom' was built under R version 4.5.2

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

wilcox.test(egzersiz_yapan, egzersiz_yapmayan)

## Warning in wilcox.test.default(egzersiz_yapan, egzersiz_yapmayan): cannot
## compute exact p-value with ties

## 
##  Wilcoxon rank sum test with continuity correction
## 
## data:  egzersiz_yapan and egzersiz_yapmayan
## W = 0, p-value = 0.0009229
## alternative hypothesis: true location shift is not equal to 0

wilcox.test(stres ~ grup, data = egzersiz_veri) %>% 
  tidy()

## Warning in wilcox.test.default(x = DATA[[1L]], y = DATA[[2L]], ...): cannot
## compute exact p-value with ties

## # A tibble: 1 × 4
##   statistic  p.value method                                          alternative
##       <dbl>    <dbl> <chr>                                           <chr>      
## 1         0 0.000923 Wilcoxon rank sum test with continuity correct… two.sided

ggplot(egzersiz_veri, aes(x = grup, y = stres, fill = grup)) +
  geom_boxplot(alpha = 0.6) +
  geom_jitter(width = 0.1, alpha = 0.6) +
  labs(title = "Egzersiz Durumuna Gore Stres",
       x = "Grup",
       y = "Stres Puanı") +
  theme_minimal()

#Düzenli egzersiz yapan ve yapmayan öğrencilerin algılanan stres düzeyleri arasında anlamlı bir fark olup olmadığını incelemek amacıyla Mann–Whitney U testi uygulanmıştır. Analiz sonucunda gruplar arasında anlamlı farklılık bulunmuştur, W=0,p<.001. Bulgular, düzenli egzersiz yapmayan öğrencilerin daha yüksek stres düzeyine sahip olduğunu göstermektedir.