Probability: Binomial Distribution

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In essence, Binomial events are a sequence of identical Bernoulli events. Before we get into the difference and similarities between these two distributions, let us examine the proper notation for a Binomial Distribution. We use the letter “B” to express a Binomial distribution, followed by the number of trials and the probability of success in each one. Therefore, we read the following statement as “Variable “X” follows a Binomial distribution with 10 trials and a likelihood
of success of 0.6 on each individual trial”. Additionally, we can express a Bernoulli distribution
as a Binomial distribution with a single trial. Alright! To better understand the differences between
the two types of events, suppose the following scenario. You go to class and your professor gives the class a surprise pop-quiz, which you have not prepared for. Luckily for you, the quiz consists of 10 true or false problems. In this case, guessing a single true or false question is a Bernoulli event, but guessing the entire quiz is a Binomial Event.

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#probability #binomial #distribution
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Thank you so much for these dense clear comprehensive short videos. These are more valuable than an hour long lecture of the same subject

nicorobin
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Including that sleeping student is a proof that these guys can understand student's mentality perfectly 🤣🤣

vinayasri
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Could you ask at least 10 universities to compare their online coursewares and your videos? What is the probability of at least 1 will dare to compare :)

sushiltiwari
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Nice video but please where does the 10 come from?

ebierealexandria
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I did not understand how you got the 10 out of the C :(

josepitinvikingo
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this one is kinda hard but thank you!
little question from me, do you use your animation using PowerPoint or pure in a video editor?

chawza
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Thank you, Mr. Data Science, very cool!

ryanyeet
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Good presentation ❤️
Great visuals 💓
A perfect educative video 👍🏻

jawad_youtube
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More useful than my college lecturer lmao

zenwoo
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Very well done here. So much better understanding now. Thank you!

theboze
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The way he says 'Great! 😎' as soon as I said, out loud, "what the fuck?", was just too hilarious!

BruceNJeffAreMyFlies
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Is there an intuitive way to understand the formula?

nicorobin
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Hello! kind help here: In batch of 100 screws, a maximum of 3 can be defective. A random sample of 20 screws are taken. How many defective parts are allowed in this sample considering all scenarios probabilities less than or equal to 90%?

angedieka
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Use this comment as a 'I'm a jee student' like button

web
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I can't Express how Savage is 365 Data Science is all these years since 2018 that I am following them.

Emotekofficial
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Is the graph that is shown at 2:02 a type of probability mass function?

mackscarey
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Great edit and very good explation. I m Loving it

arnabhai