Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
学ぶ Binomial probability 2/2 | Learn Basic Rules
Probability Theory
セクション 1.  5
single

single

bookBinomial probability 2/2

メニューを表示するにはスワイプしてください

Look at the code example of the binomial probability

12345
# Import relevant library from scipy.stats import binom # Here, we simulate an experiment of tossing 5 coins three times experiment = binom.rvs(p = 0.5, size = 5, n = 3) print(experiment)
copy

Explanation of the code above:

  1. We need to import binom object from scipy.stats.
  2. binom.rvs(p = 0.5, size = 5, n = 3) means that the probability of getting head is 50 %, p = 0.5; the size of sample in experiment is 5, size = 5; the number of trial is 3, n = 3.
  3. In the output we can see an array with five results for each coin with the number of successful trials for each coin.
タスク

スワイプしてコーディングを開始

Your task here is almost the same as in the previous chapter, play with one coin!

Imagine that here you have a coin with a general probability of 50%. Follow this algorithm:

  1. Import the binom object from scipy.stats.

  2. Conduct the experiment with binom object using rvs() function:

    • Set p parameter equal to 0.5.
    • Set size parameter equal to 1.
    • Set n parameter equal to 5.

Please note, you can comment on the line where np.random.seed() was defined and "play with the coin" to receive various outputs.

解答

Note

Explanation of the output : We were tossing one coin five times, and it only led to success in three cases.

Switch to desktop実践的な練習のためにデスクトップに切り替える下記のオプションのいずれかを利用して、現在の場所から続行する
すべて明確でしたか?

どのように改善できますか?

フィードバックありがとうございます!

セクション 1.  5
single

single

AIに質問する

expand

AIに質問する

ChatGPT

何でも質問するか、提案された質問の1つを試してチャットを始めてください

some-alt