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 RUclips channel.
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?
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... 🙏😊
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.
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.
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".
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
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
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.
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
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?
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.
YOU ARE THE BEST IN THE WORLD STAY SLAYING
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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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Amazing content am from Kenya you are making my life easy no need for attending class lectures anymore
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Extraordinary sir Thank you so much
Most welcome!
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Sir ur great at a small time u give large knowledge to us thankyou
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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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It's Videoscribe.
Thank you for prompt reply regarding the software.
Thank you so so much you saved my semester
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Thank you soo muchhhhh!! This explanation helps me alot ❤❤❤❤
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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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Congratulations Sir for your website...
Love and respect 😊😊
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beautiful video. Watching from Bangladesh
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Please share it with your friends and colleagues.
Very nice video everything was so undertandble easily
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nice presentation ! Thanks
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Great video! Keep up the good work. Made me understand binomial and poisson more. :)
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Keep doing that , great explanation
Please discuss the Quality Control (QC)
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Definite, I will do that..
Great explanation keep up it and include other related topic
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Can you please specify these topics?
I had already many videos on statistical concepts on this RUclips channel.
Short and sweet😍 Thank you...
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Very comprehensive and excellent effort !
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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?
very nice explanation. summarising in the end was excellent.
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I have only gratitude for this video
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Thank you so much for this video. Please grow this channel by making such useful videos. Liked and subscribed 👌😍
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lovely video
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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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Great , best to the point video
Thanks 🙏
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Great❤
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Very clear and calm explanations. Subscribed
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very well explained thank you
Glad it was helpful!
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Very simple and neat, Thanks a lot
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Very nice sir,,Thanks a lot...
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Thanks 🙏🏻 know I can understand easily
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amazing video and explanation II watching in 2020
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Concept clear video
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Really Awesome sir....Thanks for ur knowledge sharing.All the Best for ur best Intiative Programmes......
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Please share it with your friends and colleagues.
Super!
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Great video !!! keep up the good work sir :)
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Thanks
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Well explained....Thank you
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i love it
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Wonderful video. Very simply explained :)
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Great definitions!
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Very helpful
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WOW GRAAAAPE!
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thank you sir
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This video was really helpful can u plz discuss about (ANOVA )analysis of variance🙂
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On ANOVA, the video is already there on the channel.
Can you please check it?
Nicely explain
Thanks and welcome
Tnx sir... super detailed amazing
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Great explanation sir...
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thank u for the video
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Nice sir
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5 chapter topic in 1 video wow
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nice job. thank you
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When we use that type of problbality
Do you mean probability formulae and concepts for Binomial and Poisson Distribution?
They are used when your data type is an attribute.
Sir, How you have calculated the value of 'p' 6:07
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... 🙏😊
upload more vdios😇😇😇
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.
Thank you Gentleman . Really very awesome video ..Where to find Chi squared distribution
Thank you for your valuable comments...
Sir, what does it mean by "unlimited number of possible outcomes" in Poisson distribution?
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.
@@learnandapply Thanks sir~
How do we understand which type of distribution to use for given data?
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".
@@learnandapply Thank you
Nice explanation
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Sir wr i can find remaining probability topics
Please check the playlist named Measure Phase.
Thanks for the awesome presentation. i have really enjoyed and learned a lot
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Please share it with your friends and colleagues..
woww
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❤❤
Iam a huge fan if u sir
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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
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
Can someone please explain me 6.02 solution?
Are you looking for how to calculate it in excel?
Super
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Nice
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Sir testing of hypothesis can u expalin
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.
When u will exolain
np>5 and n(1-p) >5... What is the value of p
p is the probability of success of an event.
@@learnandapply Which event
It is an outcome of any process you want to study
Background music is so disturbing and irritating
Yes, agree!
These are the old videos and sorry for the inconvenience. Thank you!
Ssc cgl ki statistics cheppandi sir please 10 days lo exam vundi please sir
Please videos cheyandi sir I have exam on Dec 14th
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
Ok thank u sir
Please use coupon code MISSION100K if you want to enroll in this course.
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?
Calculate the probability for n=0 by considering formula for Poisson distribution.
@@learnandapply only for 6 marks that all😅i was so confused for 6marks thx u
You're welcome. ☺️
@@learnandapply do you have any mail to contact you ?
Happy Women's Day to you
More ML videos pls
I am sorry, but what is ML?
What is MSA....?
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.
Back music is very irritating
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I had reduced it significantly in recent videos..
Im sorrybut not good
Ok, thank you for your valuable comments..