Probability: Binomial Distribution

🥳Access all 365 Data Science courses 100% for free — November 6–21! ➡ https://bit.ly/43aatiY 👉🏻 Sign up for Our Complete Data Science Training with 57% OFF: https://bit.ly/35O5YOc 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. ► Consider hitting the SUBSCRIBE button if you LIKE the content: https://www.youtube.com/c/365DataScie... ► VISIT our website: https://bit.ly/365ds 🤝 Connect with us LinkedIn:   / 365datascience   365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists. We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online. Check out our Data Science Career guides:    • How to Become a... (Data and AI Career Gui...   #probability #binomial #distribution