Rで学ぶ確率の基礎
David Robinson
Chief Data Scientist, DataCamp
$$X \sim \text{Binomial}(10, .5)$$
$$\Pr(X=5)$$
flips <- rbinom(100000, 10, .5)
flips == 5 # [1] FALSE TRUE FALSE FALSE...
mean(flips == 5) # [1] 0.2463
dbinom(5, 10, .5) # [1] 0.2460938
dbinom(6, 10, .5) # [1] 0.2050781
dbinom(10, 10, .5) # [1] 0.0009765625
$$\Pr(X\leq 4)$$
flips <- rbinom(100000, 10, .5) mean(flips <= 4) # [1] 0.37682
pbinom(4, 10, .5) # [1] 0.37695
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