Basics of Probability, Binomial and Poisson Distribution

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I was so lost about this topic, i saw many youtube videos and still was confused, with your video I was able finally to understand thanks!

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This helped me so much. I appreciate that you start with basics, build understanding, explain clearly, and give examples.

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Beautifully explained and I was excited to learn from your video. Could you please let me know which software you are using to prepare this video?

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Thank you for your valuable comments. It's Videoscribe.

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Thank you for prompt reply regarding the software.

[@joshuadunning4295]

Great video. I have a question I wonder if you either a) already have a video on the topic b) could help me understand. How would I calculate the percentage likelihood of customers arriving before a certain time. For example, something like this 1) On a normal weekday, 11 customers arrive before 10am with a standard deviation of 4. How likely is it that more than 11 customers will arrive before 10am on a normal day. Or 2) the average time of first customer arrival is 09:38 with a standard deviation of 7. What is the percentage likelihood that a customer will arrive before 09:38?

[@AccuraMatrix]

Extraordinary sir Thank you so much

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[@omkarp9943]

Great explanation!!

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[@vinayakdoiphode7550]

Watched more than 50 video randomly. Mean was zero SD was zero But after watching this I can say 100℅ concept clear

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beautiful video. Watching from Bangladesh

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Short and sweet😍 Thank you...

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I have only gratitude for this video

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[@harshaananya]

Very clear and calm explanations. Subscribed

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[@meenakshivt]

Very comprehensive and excellent effort !

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Thanks 🙏🏻 know I can understand easily

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Keep doing that , great explanation Please discuss the Quality Control (QC)

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[@ruchigupta6520]

very nice explanation. summarising in the end was excellent.

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[@joeyhernandez4405]

Great video! Keep up the good work. Made me understand binomial and poisson more. :)

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[@aditipatil9491]

very well explained thank you

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Glad it was helpful! Thank you for your valuable comments and appreciation! 🙏😊

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Thank you for this video. It helped me a lot... Short and precise. Very useful class ❤❤❤ keep going

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[@mihretgashaye4313]

Great explanation keep up it and include other related topic

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Thank you so much for your valuable comments and appreciation ☺🙏 Can you please specify these topics? I had already many videos on statistical concepts on this KZbin channel.

[@bhanuperu7381]

Really Awesome sir....Thanks for ur knowledge sharing.All the Best for ur best Intiative Programmes......

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[@avinashn32]

Very simple and neat, Thanks a lot

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[@ShreyasSinha]

amazing video and explanation II watching in 2020

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[@nanazeethiopia2892]

nice presentation ! Thanks

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[@krishanmohansharma8306]

Great , best to the point video Thanks 🙏

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Very nice sir,,Thanks a lot...

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[@bhaskarallada8512]

Well explained....Thank you

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[@aryaashu391]

Very helpful

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[@nitinleoburnett]

Wonderful video. Very simply explained :)

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[@dishapandey96]

Great video !!! keep up the good work sir :)

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[@sharonjyoshna3675]

Sir, How you have calculated the value of 'p' 6:07

[@learnandapply]

This is a probability of success. As in an example we had 4 options, and only one of them is correct, so the probability (p) for the correct answer will be = 1/4 =0.25 Is this answer your question? Please reply here if you need more clarity. Thank you for your valuable comments... 🙏😊

[@ckeong9012]

Sir, what does it mean by "unlimited number of possible outcomes" in Poisson distribution?

[@learnandapply]

Yes, there can be any number of outcomes possible within the range of data.😊 E.g. number of patients visiting the hospital, number of cars coming at a toll booth, etc.

[@ckeong9012]

@@learnandapply Thanks sir~

[@mansisen626]

Concept clear video

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[@Wittysenshi]

lovely video

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[@binayakbishnu]

How do we understand which type of distribution to use for given data?

[@learnandapply]

You need to understand characteristic of each distribution to get it clear. If you are using Minitab, then there is an option " Individual Distribution Identification".

[@binayakbishnu]

@@learnandapply Thank you

[@barovierkevinallybose1040]

Great definitions!

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[@RaufKhan-sw8xz]

Tnx sir... super detailed amazing

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Great❤

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[@tanujdiwate2514]

Thank you Gentleman . Really very awesome video ..Where to find Chi squared distribution

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[@xboy2374]

When we use that type of problbality

[@learnandapply]

Do you mean probability formulae and concepts for Binomial and Poisson Distribution? They are used when your data type is an attribute.

[@jerushamarripudi389]

This video was really helpful can u plz discuss about (ANOVA )analysis of variance🙂

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Thank you so much for your valuable comments and appreciation! On ANOVA, the video is already there on the channel. Can you please check it?

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Great explanation sir...

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Thanks

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Super!

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nice job. thank you

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[@mohankhond3742]

Nicely explain

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Thanks and welcome

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Sir wr i can find remaining probability topics

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Please check the playlist named Measure Phase.

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Thanks for the awesome presentation. i have really enjoyed and learned a lot

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thank u for the video

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[@virendrchandavar8943]

Nice ppt, but i have a query When Binomial distribution has only two outcome like pass & fail or success & failure How come the given example to answer 10 questions and answer randomly suits here? with answer as 0.56 Plz explain

[@aurichaks]

10 separate questions are 10 separate events... and each event has 2 and only two possible outcomes. the probability of getting none correct 1 correct two correct 3 correct and so on can thus be calculated

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i love it

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[@biologywithankita8184]

Can someone please explain me 6.02 solution?

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Are you looking for how to calculate it in excel?

[@sohailahmed7283]

Nice explanation

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Nice sir

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Please share HAndwritten Notes🙏🏻

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I have pdf notes in my paid program vijaysabale.co/statistics I don't have hand written notes. Thank you.

[@madhusekhar17]

Iam a huge fan if u sir

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Sir testing of hypothesis can u expalin

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This is a part of Analyze phase and I will explain it once topics from Measure phase covered. This is for better understanding of sequencing during implementation. Please add your valuable comments.

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When u will exolain

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❤ thnx

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[@imsavage2449]

5 chapter topic in 1 video wow

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[@PraveenKumar-pd9sx]

np>5 and n(1-p) >5... What is the value of p

[@learnandapply]

p is the probability of success of an event.

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@@learnandapply Which event

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It is an outcome of any process you want to study

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Thank you for your valuable comments! 🙏😊 If you want to learn basic statistics with examples and detailed illustrations, you can check out this content created as an online course with mentoring support: vijaysabale.co/statistics.

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[@Ilemaurice687]

Hello Sir I have a question can you help me please Sir. Its 6 marks what should i do please Question 1: Bacterial viruses infect bacterial cells by first absorbing onto the bacterial cell wall. The number of phage particles that absorb to any one bacterial cell is a Poisson process. In a certain experiment, 2.5 X 10power6 phage particles were mixed with 10power of 6 bacterial cells. Thus, the mean number of phage particles per bacterial cell is 2.5. What is the probability that a randomly selected bacterial cell has no phage particle?

[@learnandapply]

Calculate the probability for n=0 by considering formula for Poisson distribution.

[@Ilemaurice687]

@@learnandapply only for 6 marks that all😅i was so confused for 6marks thx u

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You're welcome. ☺️

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What is MSA....?

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MSA is Measurement System Analysis, one of the most important topics in Six Sigma. I have provided complete playlist for it, if you want to learn it. Thank you for your valuable comment.

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Super

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Nice

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More ML videos pls

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I am sorry, but what is ML?

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[@samanurulakshmiradhika6713]

Ssc cgl ki statistics cheppandi sir please 10 days lo exam vundi please sir

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Please videos cheyandi sir I have exam on Dec 14th

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Thank you for your valuable comments. I am not sure about the SSC CGL statistics syllabus. Can you please visit this link and check the curriculum section whether it meets your requirements? vijaysabale.co/statistics

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Background music is so disturbing and irritating

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