Understanding Binomial Distribution with Example || Lesson 52 || Probability & Statistics ||

Understanding Binomial Distribution with Example
In this class, we discuss Understanding Binomial Distribution with Example.
The reader should have prior knowledge of Bernoulli distribution. Click Here.
Binomial Distribution: A random experiment consisting of n repeated Bernoulli experiments.
1) Each experiment is independent
2) Each experiment results in success or failure.
3) The probability of success in each experiment is p.
We can apply binomial distribution if the random experiment follows the above conditions.
We take an example and understand binomial distribution.
A random variable X that results in the number of experiments that result in success has a binomial distribution with parameters n and p.
Probability mass function = P(x; n , p) = nCx (p)^x (1-p)^n-x
Example: Toss a coin six times.
Probability of having two successes?
Success = head.
One way: H, T, T, T, T, H
The first experiment and last experiment showed head.
The remaining experiments showed tails.
Probability = P 1-p 1-p 1-p 1-p p. because p is success and 1-p is a probability of failure.
The probability = (p)^2 (1-p)^6-2. because all experiments are independent.
From the multiplication theorem, independent events are the multiplication of each value.
Second Way: H, H, T, T, T, T.
Similarly, we can have nCx possibilities.
So probability mass function = nCx (p)^x (1-p)^n-x
The below table shows the binomial distribution for the experiment tossing a coin six times.
When we toss a coin six times. The random variable X takes values 0, 1, 2, 3, 4, 5, 6.
We can have zero heads, one head, etc.
The probability P(X= 0) = f(x) = nCx (p)^x (1-p)^n-x where n = 6 and x = 0.
Given, The probability values for random variable X in the table.
The binomial distribution follows the discrete probability distribution.
The discrete probability distribution should follow two conditions.
1) Σall x (f(x)) = 1
2) f(x) gt= 0
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[@rishabh3008]

((nCx )* ((p)^x) * ((1-p)^(n-x))) is correct formula !

[@sargoldart]

I've seen so many distribution video, but you were the best. Thank you for your great work in teaching❤❤❤

[@LearningMonkey]

Thank you have a great learning in CSE

[@akitirspirit8159]

Sir I love your teaching 😍 it's the best

[@LearningMonkey]

All CSE subjects available

[@colinjanecolinjane5407]

Amazing explanation. Thanks for the content!

[@LearningMonkey]

Glad it helped!

[@GreenaReeni]

Your explanation was top notch 😊 Got better understanding.. I'm sad that I didn't get to know about this channel before 😕 Thanks man ❤

[@LearningMonkey]

Thank you Have a great learning in CSE

[@travelvlogs3874]

You are excellent 👌👌👌👌 My exam is tomorrow and i watched this video...just in search of bernauli distribution ... Ab agar exam mai L lag gae to ye 52 Videos puri dekhon ga

[@LearningMonkey]

All the best for your exam Have a great learning in CSE

[@godfrist9147]

How did you multiply to get the answers

[@florentinosanchez3969]

You make such good explanations, thank you so much

[@LearningMonkey]

Have a great learning in CSE

[@gemechualemayehu7034]

thank you so so much,explanation is amazing

[@LearningMonkey]

Glad it was helpful!

[@just.meanie__2602]

What do you use as p when calculating the PMF?

[@LearningMonkey]

p is probability of success. watch next video binomial distribution real life example. you will get good clarity.

[@creative20046]

Thankyou sir

[@phezekiau]

is very beutiful

[@lhd1400]

Thank you

[@LearningMonkey]

Have a great learning in CSE

[@vuyyurusaisrinivas2318]

give the table calculation

[@gaya3448]

Yes Atleast 1 example

[@user-iq6uc3rh1b]

Your explanation is good but I'm not understood 😢

[@LearningMonkey]

Start from beginning of playlist U will understand. Have a great learning in CSE

[@sithabilematyanga9123]

What is your value for p

[@LearningMonkey]

Success = head So p = 1/2

[@vikasyadav9345]

Your channel name is same like your face

[@ChristopherTiwari]

Typical yadav comment. No wonder you need obc reservation to succeed.

[@storyland14314]

Here 1-p power of n-x not x

[@LearningMonkey]

Yes. Thank you for identifying

[@storyland14314]

@@LearningMonkey It's kk sir I like your explanation sir l want to learn probability and statistics please suggest me the books to learn I am intrested in but I am not able to solve so questions

[@sup7206]

what is the reason for that? I did not get that