September 2015
Beginner to intermediate
608 pages
13h 43m
English
Content preview from Clojure for Data ScienceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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The binomial distribution
The preceding histogram looks a great deal like a normal distribution, but in fact it is a binomial distribution. The two distributions are very similar, but the binomial distribution is used to model cases where we want to determine how many times a binary event is expected to occur.
Let's plot both the binomial and the normal distribution on a histogram to see how they compare:
(defn ex-4-9 [] (let [passengers (concat (repeat 127 0) (repeat 339 1)) bootstrap (s/bootstrap passengers i/sum :size 10000) binomial (fn [x] (s/pdf-binomial x :size 466 :prob (/ 339 466))) normal (fn [x] (s/pdf-normal x :mean 339 :sd 9.57))] (-> (c/histogram bootstrap :x-label "Female Survivors" :series-label "Bootstrap" :nbins 20 :density true ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.