mucahıtkarakus

library(tidyverse)

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.2.0
## ✔ forcats   1.0.1     ✔ stringr   1.6.0
## ✔ ggplot2   4.0.1     ✔ tibble    3.3.0
## ✔ lubridate 1.9.5     ✔ tidyr     1.3.2
## ✔ purrr     1.2.0     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(dplyr) 
library(lsr)

boy_verisi <- data.frame(id = 1:43) %>% mutate(boy = round(rnorm(n(), 108.5), 1))

head(boy_verisi)

##   id   boy
## 1  1 108.0
## 2  2 108.5
## 3  3 110.3
## 4  4 108.0
## 5  5 108.4
## 6  6 108.1

shapiro.test(boy_verisi$boy)

## 
##  Shapiro-Wilk normality test
## 
## data:  boy_verisi$boy
## W = 0.99034, p-value = 0.9723

oneSampleTTest(boy_verisi$boy, mu = 110)

## 
##    One sample t-test 
## 
## Data variable:   boy_verisi$boy 
## 
## Descriptive statistics: 
##                 boy
##    mean     108.407
##    std dev.   0.871
## 
## Hypotheses: 
##    null:        population mean equals 110 
##    alternative: population mean not equal to 110 
## 
## Test results: 
##    t-statistic:  -11.996 
##    degrees of freedom:  42 
##    p-value:  <.001 
## 
## Other information: 
##    two-sided 95% confidence interval:  [108.139, 108.675] 
##    estimated effect size (Cohen's d):  1.829