วีดีโอ

U are the best 💓🤩

Thank you so much sir

Thank you sooo much 🙏🇿🇦

Bro u really good, keep it up🎉🎉🎉 I understand everything clearly.

Real world problems used as examples contextualize logical application of the Binomial Distribution. Excellent !

Keep up the good work

You saved my CW🎉🎉🎉

Very helpful 👌 bro continue the good work

🙌🏻

Thank you very much

Wow thanks, God bless you because I never understood this in class but now I'm good to go 🎉

🎉🎉 can you do on mutually exclusive events and those are not , probability rules

Thank you

take love, sir

Thank you very much

You made everything so simple. Keep doing what you are doing

What kind of distribution did you use in problem 44? I don’t understand. Thank you

It's so helpful, thanks 👍

I have liked your methodology of this topic.Thanks alot sir for your simplicity of the lesson

Is it okay to have the final answers with exponents?

Such a nice explanation ❤❤,,l was empty but now l know more thanks so much 🥰

Thank you so much for this amazing video

You explain well, keep it up

your telegram channel link doesn't work

For the last question P(8<X<14) will be 0.387466 or 38.7466%

You just made my life simple, more oil to function bro.

You're nailed it broo Danki I learned alot and found it easy , not easy moreeeee easierrrr🎉🎉

Bro I’m watching this from KNUST 😌

Bro is helping all KNUST students 🎉

Please Sample size problem 3,why did we equate the formula to 5.98 and not the 5.22.🤔🤔

I think this is absolutely essential for all students when preparing for statistics exams. Thank you so much!

Thank you very much

Thanks for the lecture My exam is on Monday

Please with the example 1, there a mistake the answer you got. (0.0126) was the solution for what was in the bracket( the margin of error). I think you were supposed to multiply that with 1.96. I stand to be corrected 😊

👍

for the Ex1

pls my final answer is 0.5353,0.5847. thank u

oral communication and intrapersonal

Sir I love your explanation I have compared it to no one. You are great

Remarkable explanation ever. Amazing God bless you sir probability made easy😍😍

This is awesomely amazing sir God bless you. This one is the best explanation ever 😍😍

Please how do u know that this is a sample SD

This class has made me love and feel this topic

Very insightful 🎉

Thanks for such a wonderful teaching

THANKYOU

Wofa Philos nie

Wow that was great. Would love to interact with sir on one one . I am a student at Moi university Nairobi Kenya