Hi Bingqing, good job on guessing 5/10 books that I have read!
I was thinking about how you would compare if I gave this test to a bunch of chimpanzees… but since there aren’t too many chimpanzees in Switzerland (sample size is important!), I thought I would just simulate it.
set.seed(0)
# initialize my vector of books
# 10 I have read (denoted as 1)
# 10 I have not read (denoted as 0)
books <- c(rep(1, 10), rep(0, 10))
# get each chimpanzee to sample 10 books out of my list of books
# let's do this for a large number of chimpanzees... because we can.
n_chimpanzees <- 1000000
chimpanzees_score <- rep(NA, n_chimpanzees)
for (i in seq(n_chimpanzees)){
chimpanzees_choices <- sample(books, 10)
chimpanzees_score[i] <- sum(chimpanzees_choices) # max score is 10
}
Cool, we’ve just sampled 106 chimpanzees. Let’s see how they did as a collective…
h <- hist(chimpanzees_score, breaks=10)
Amazing! There was 1 chimpanzee that got a perfect score! He deserves a barrel of bananas!
Now… let’s see which bar you fit in, Bingqing…
plot(h, col=replace(rep("white", length(h$breaks) - 1), bingqing_score, "red"))
Unfortunately, there were 328875 (32.8875%) chimpanzees that beat your score… and 342726 (34.2726%) chimpanzees tied your score…
But hey, let’s look on the bright side, at least you beat 328399 chimpanzees!