library(tidyverse)
<- read_csv("https://raw.githubusercontent.com/Aranaur/aranaur.rbind.io/main/datasets/heroes/heroes.csv")
data
data
AE 05
Import
Exercise 1
t.test(data$Weight, mu = 100)
One Sample t-test
data: data$Weight
t = -11.611, df = 731, p-value < 2.2e-16
alternative hypothesis: true mean is not equal to 100
95 percent confidence interval:
34.36229 53.34809
sample estimates:
mean of x
43.85519
Exercise 2
t.test(data$Height, mu = 185)
One Sample t-test
data: data$Height
t = -16.056, df = 733, p-value < 2.2e-16
alternative hypothesis: true mean is not equal to 185
95 percent confidence interval:
92.13644 112.37173
sample estimates:
mean of x
102.2541
Exercise 3
library(dplyr)
<- data %>%
black_white_eye_color_heroes filter(`Eye color` %in% c("black", "white"))
t.test(Weight ~ `Eye color`, data = black_white_eye_color_heroes)
Welch Two Sample t-test
data: Weight by Eye color
t = -0.74814, df = 35.947, p-value = 0.4592
alternative hypothesis: true difference in means between group black and group white is not equal to 0
95 percent confidence interval:
-111.76634 51.53105
sample estimates:
mean in group black mean in group white
9.00000 39.11765