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R 的機率基礎

David Robinson

Chief Data Scientist, DataCamp

擲硬幣 20 次

R 的機率基礎

兩堆各 50,000 枚硬幣

fair <- rbinom(50000, 20, .5)
sum(fair == 14)
# 1888
biased <- rbinom(50000, 20, .75)
sum(biased == 14)
# 8372
1888 + 8372
# [1] 10260

$$\Pr(\text{Biased}|\text{14 Heads})=$$ $$\frac{\text{\# biased w/14 Heads}}{\text{\# total w/14 Heads}}$$

$$=\frac{8372}{1888+8372}=82\%$$

R 的機率基礎

一起來練習吧!

R 的機率基礎

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